Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making | Paper Citation Record

Observation 6bccf5b9-7216-4c75-875c-a29b5a32412a · outbound

This paper cites Elements of chronic disease management service system: an empirical study from large hospitals in china.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Elements of chronic disease management service system: an empirical study from large hospitals in china

Reference 1

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Observation 4f77566f-f73c-47a5-9a34-74cd95f76e26 · outbound

This paper cites Characteristics of self-care inter- ventions for patients with a chronic condition: A scoping review.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Characteristics of self-care inter- ventions for patients with a chronic condition: A scoping review

Reference 2

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Observation d7b7cd67-0ac3-4903-bb6b-82a3b64c1c8d · outbound

This paper cites Artificial intelligence: the future for diabetes care.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Artificial intelligence: the future for diabetes care

Reference 3

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Observation f4f8f9ff-43a1-46a7-b258-c7da9a656cc0 · outbound

This paper cites Type 2 diabetes and cognitive dysfunction—towards effective management of both comorbidities.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Type 2 diabetes and cognitive dysfunction—towards effective management of both comorbidities

Reference 4

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Observation 9c0313c3-d125-4260-8eeb-48aa70464a2f · outbound

This paper cites Self-management: a comprehensive approach to management of chronic conditions.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Self-management: a comprehensive approach to management of chronic conditions

Reference 5

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Observation 3543a9df-3aaa-40de-9ff9-370d1f3031d8 · outbound

This paper cites From Glucose Patterns to Health Outcomes: A Generalizable Foundation Model for Continuous Glucose Monitor Data Analysis.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making From Glucose Patterns to Health Outcomes: A Generalizable Foundation Model for Continuous Glucose Monitor Data Analysis

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-10T11:58:02.295378Z

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Observation 6d809fde-c699-4519-9b9b-2f8c26e0b24c · outbound

This paper cites Data-driven allocation of preventive care with application to diabetes mellitus type ii.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Data-driven allocation of preventive care with application to diabetes mellitus type ii

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.345969Z

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Observation 96fe4e61-deaf-489b-b4d7-58c5448d540a · outbound

This paper cites Ai-supported insulin dosing for type 2 diabetes.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Ai-supported insulin dosing for type 2 diabetes

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.350104Z

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Observation 9fd7b8cf-760f-4ca8-8e07-cff4294d4dde · outbound

This paper cites Machine learning tools for long-term type 2 diabetes risk prediction.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Machine learning tools for long-term type 2 diabetes risk prediction

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.354225Z

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Observation 19b51af4-a0cf-48d2-b12b-a21d124a184d · outbound

This paper cites Integrated image-based deep learning and lan- guage models for primary diabetes care.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Integrated image-based deep learning and lan- guage models for primary diabetes care

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.358215Z

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Observation 21627bad-3a98-47a7-b112-2324160fba05 · outbound

This paper cites Open (clinical) llms are sensitive to instruction phrasings.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Open (clinical) llms are sensitive to instruction phrasings

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.362396Z

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Observation 507763ba-2559-44e6-bd82-53fcd60d1ea5 · outbound

This paper cites Recommenda- tions for initial diabetic retinopathy screening of diabetic patients using large language model-based artificial intelligence in real-life case scenarios.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Recommenda- tions for initial diabetic retinopathy screening of diabetic patients using large language model-based artificial intelligence in real-life case scenarios

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.366379Z

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Observation 733a2de7-df08-49fa-972a-9b37dd035b12 · outbound

This paper cites Llm-powered multimodal ai conversations for diabetes prevention.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Llm-powered multimodal ai conversations for diabetes prevention

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.370220Z

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Observation dfe0bf5d-88d2-49a2-8cdf-ea10e466b266 · outbound

This paper cites Multimodal llms for health grounded in individual- specific data.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Multimodal llms for health grounded in individual- specific data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.374258Z

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Observation 003dd9ca-8974-4b1e-88eb-25d1bd71670a · outbound

This paper cites A trust based framework for the envelopment of medical ai.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making A trust based framework for the envelopment of medical ai

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.378281Z

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Observation f47e9414-cfbc-4f6d-af31-cf4d81b6f547 · outbound

This paper cites Trust in ai and its role in the acceptance of ai technologies.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Trust in ai and its role in the acceptance of ai technologies

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.382148Z

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Observation ed904d0f-e3f1-409e-992b-9c661ef91e55 · outbound

This paper cites Trust and medical ai: the challenges we face and the expertise needed to overcome them.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Trust and medical ai: the challenges we face and the expertise needed to overcome them

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.386103Z

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Observation 6ae26f8a-5845-4e6e-98d0-79d9851457df · outbound

This paper cites People over trust AI-generated medical responses and view them to be as valid as doctors, despite low accuracy.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making People over trust AI-generated medical responses and view them to be as valid as doctors, despite low accuracy

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.390212Z

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Observation 7168e93f-4240-4abe-870f-cdd74a4aa497 · outbound

This paper cites Effect of confidence and explanation on accuracy and trust calibration in ai-assisted decision making.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Effect of confidence and explanation on accuracy and trust calibration in ai-assisted decision making

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.394966Z

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Observation 212e90d2-3d3c-4f2e-a875-41a291c8f034 · outbound

This paper cites Human reliance on machine learning models when performance feedback is limited: Heuristics and risks.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Human reliance on machine learning models when performance feedback is limited: Heuristics and risks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.398736Z

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Observation 60aa04f2-645b-4379-9e8c-07a00ec61437 · outbound

This paper cites Artificial intelligence trust, risk and security management (ai trism): Frameworks, applications, challenges and future research directions.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Artificial intelligence trust, risk and security management (ai trism): Frameworks, applications, challenges and future research directions

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.402701Z

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Unavailable: canonical work link unavailable.

Observation 5fed734d-a555-4f41-852d-96bcfb2595d4 · outbound

This paper cites How transparency modulates trust in artificial intelligence.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making How transparency modulates trust in artificial intelligence

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.406554Z

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Observation 545365c5-2454-4822-ba83-0dfab8ab7e38 · outbound

This paper cites Bridging the gap between ethics and practice: guidelines for reliable, safe, and trustworthy human-centered ai systems.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Bridging the gap between ethics and practice: guidelines for reliable, safe, and trustworthy human-centered ai systems

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.410634Z

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Observation f7f6029f-d851-4982-8a83-d5abbf87ec11 · outbound

This paper cites Designing interpretable ml system to enhance trust in healthcare: A systematic review to proposed responsible clinician-ai-collaboration framework.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Designing interpretable ml system to enhance trust in healthcare: A systematic review to proposed responsible clinician-ai-collaboration framework

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.414750Z

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Observation 6b275d82-1fc6-45ae-95cc-480ea2658abe · outbound

This paper cites Artificial intelligence and human trust in healthcare: focus on clinicians.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Artificial intelligence and human trust in healthcare: focus on clinicians

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.419098Z

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Observation 6d8c208c-a629-4142-ba97-0d0459729408 · outbound

This paper cites Who should i trust: Ai or myself? leveraging human and ai correctness likelihood to promote appropriate trust in ai-assisted decision-making.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Who should i trust: Ai or myself? leveraging human and ai correctness likelihood to promote appropriate trust in ai-assisted decision-making

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.423203Z

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Observation aa50791e-9ea2-4d5e-93dc-6f5a2f53c479 · outbound

This paper cites To trust or to think: cognitive forcing functions can reduce overreliance on ai in ai-assisted decision-making.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making To trust or to think: cognitive forcing functions can reduce overreliance on ai in ai-assisted decision-making

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.428957Z

Source-reported events for the cited work

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Observation e4395675-23c1-45cf-a72d-19ef65d96ab2 · outbound

This paper cites Does the whole exceed its parts? the effect of ai explanations on complementary team performance.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Does the whole exceed its parts? the effect of ai explanations on complementary team performance

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.435985Z

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Observation b18fc3ca-6295-4a40-880a-cf747fb644ae · outbound

This paper cites Overconfident and unconfident ai hinder human-ai collaboration.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Overconfident and unconfident ai hinder human-ai collaboration

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.440325Z

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Observation b4ade55b-9246-45bd-83d0-44f1065ac276 · outbound

This paper cites Do people engage cognitively with ai? impact of ai assistance on incidental learning.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Do people engage cognitively with ai? impact of ai assistance on incidental learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.444456Z

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Observation e05142f4-0a31-42e6-93b2-5fd095eea392 · outbound

This paper cites Explainable arti- ficial intelligence (xai): What we know and what is left to attain trustworthy artificial intelligence.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Explainable arti- ficial intelligence (xai): What we know and what is left to attain trustworthy artificial intelligence

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.448703Z

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Observation dbf06526-b943-4437-960d-9afb347b4787 · outbound

This paper cites Explainable ai (xai): Core ideas, techniques, and solutions.ACM Computing Surveys, 55(9):1–33, 2023.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Explainable ai (xai): Core ideas, techniques, and solutions.ACM Computing Surveys, 55(9):1–33, 2023

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.452791Z

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Observation a7ebc3e4-3831-4596-8edc-73131b31aa5c · outbound

This paper cites Dissenting explanations: Leveraging disagreement to reduce model overreliance.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Dissenting explanations: Leveraging disagreement to reduce model overreliance

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.456705Z

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Observation 2d7fc934-5abf-4103-93b8-919de571803b · outbound

This paper cites Vera Liao, Larry Chan, I-Hsiang Lee, Michael Muller, and Mark O Riedl.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Vera Liao, Larry Chan, I-Hsiang Lee, Michael Muller, and Mark O Riedl

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.460617Z

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Observation 693efd4b-9552-4b28-95b4-6daa0eb9b387 · outbound

This paper cites Understanding user reliance on ai in assisted decision-making.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Understanding user reliance on ai in assisted decision-making

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.465597Z

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Observation 27439c26-7d19-43ef-b6c9-f29eced12dcb · outbound

This paper cites Algorithm appreciation: People prefer algorithmic to human judgment.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Algorithm appreciation: People prefer algorithmic to human judgment

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.469852Z

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Observation 0d8b9763-8fc2-4de6-a494-29ea31d898fc · outbound

This paper cites Thinking, fast and slow.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Thinking, fast and slow

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.474357Z

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Observation 6591c1b2-60c0-4be3-90a0-a6f409c6f26f · outbound

This paper cites Optimizing human-ai collaboration: Effects of motivation and accuracy information in ai-supported decision-making.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Optimizing human-ai collaboration: Effects of motivation and accuracy information in ai-supported decision-making

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.478350Z

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Observation ba131e1b-d810-4a70-88ca-bcc4f67a333b · outbound

This paper cites Designing for responsible trust in ai systems: A communication perspective.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Designing for responsible trust in ai systems: A communication perspective

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:03.239077Z

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Observation bd37ab76-f98b-4743-9310-ba23808fcc8b · outbound

This paper cites Human-Centered Explainable AI (XAI): From Algorithms to User Experiences.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Human-Centered Explainable AI (XAI): From Algorithms to User Experiences

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.486402Z

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Observation 661a9cda-a5fe-4e28-9906-5390a713b9a2 · outbound

This paper cites Explanations can reduce overreliance on ai systems during decision-making.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Explanations can reduce overreliance on ai systems during decision-making

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:03.221252Z

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Observation b629894d-3047-4b98-91e9-88cdbe490676 · outbound

This paper cites Vera Liao, Jennifer Wortman Vaughan, and Gagan Bansal.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Vera Liao, Jennifer Wortman Vaughan, and Gagan Bansal

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:03.207868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 48a2e33f-a006-4c1b-ac29-f3165993c880 · outbound

This paper cites Dual-process cognitive interven- tions to enhance diagnostic reasoning: a systematic review.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Dual-process cognitive interven- tions to enhance diagnostic reasoning: a systematic review

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:03.195311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1dd52ddb-bd8d-4095-a8e8-b585f893734a · outbound

This paper cites The role of explanations on trust and reliance in clinical decision support systems.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making The role of explanations on trust and reliance in clinical decision support systems

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:03.182646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 01300da5-1969-4adf-acb9-a9458ff2be77 · outbound

This paper cites How machine-learning recommendations influence clinician treatment selections: the example of antidepressant selection.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making How machine-learning recommendations influence clinician treatment selections: the example of antidepressant selection

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:03.171076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 48d54c92-c7ba-4374-a2c0-fc28f34d83e9 · outbound

This paper cites On human predictions with explanations and predictions of machine learning models: A case study on deception detection.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making On human predictions with explanations and predictions of machine learning models: A case study on deception detection

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:03.160133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d03641a3-533c-4a1e-adea-5d1dfdf753ac · outbound

This paper cites Wilcoxon signed-rank test.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Wilcoxon signed-rank test

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:03.147452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8acca71c-48a5-467c-8033-2b4906bd1596 · outbound

This paper cites Dealing with information overload: a comprehen- sive review.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Dealing with information overload: a comprehen- sive review

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:03.133995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3bbe00bd-b58b-408f-a0d8-088f3ffbe508 · outbound

This paper cites Explainable artificial intelligence for mental health through transparency and interpretability for understandability.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Explainable artificial intelligence for mental health through transparency and interpretability for understandability

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:03.121355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4d66ccf7-688d-4ff0-bd15-6584419adf90 · outbound

This paper cites XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-10T11:58:02.089868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fd37f03e-d10b-4baa-ada6-ef25e82703cf · outbound

This paper cites an unresolved cited work.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-10T11:58:03.108486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ae31a927-9903-4c6f-8f05-75fcddabfd7e · outbound

This paper cites Effects of multimodal explanations for autonomous driving on driving performance, cognitive load, expertise, confidence, and trust.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Effects of multimodal explanations for autonomous driving on driving performance, cognitive load, expertise, confidence, and trust

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:03.096846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a4bcf746-6c31-41e7-a01e-8478108a8093 · outbound

This paper cites User Decision Guidance with Selective Explanation Presentation from Explainable-AI.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making User Decision Guidance with Selective Explanation Presentation from Explainable-AI

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-08-10T11:58:02.072203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f6a7763a-18d9-4827-84ab-8f8d72213497 · outbound

This paper cites Incremental xai: Memorable understanding of ai with incremental explanations.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Incremental xai: Memorable understanding of ai with incremental explanations

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:03.084455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 95263bb2-1b28-49e0-b288-bc7fd121f533 · outbound

This paper cites Towards human-centered explainable ai: A survey of user studies for model explanations.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Towards human-centered explainable ai: A survey of user studies for model explanations

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:03.071989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 946bb59b-5df5-4254-a3fd-e66b2d7f8c80 · outbound

This paper cites Mental labour.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Mental labour

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:03.060074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c9bf1765-088b-4040-9957-dada64382c76 · outbound

This paper cites Teaching categories to human learners with visual explanations.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Teaching categories to human learners with visual explanations

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:03.047366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9ce6846f-7e0d-401e-aa78-52e5ec441886 · outbound

This paper cites an unresolved cited work.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-10T11:58:03.033000Z

Source-reported events for the cited work

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Observation 890e47de-c611-44c7-8833-e757fd3bf1f7 · outbound

This paper cites Glassman, Jeremy Scott, Rishabh Singh, Philip J.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Glassman, Jeremy Scott, Rishabh Singh, Philip J

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:03.019648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5399484c-d9a8-4a63-9a0f-0adce91d4a55 · outbound

This paper cites an unresolved cited work.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-10T11:58:03.008275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f62d9a83-6b07-4530-ab9e-39b60da87a99 · outbound

This paper cites Exploring the Effect of Explanation Content and Format on User Comprehension and Trust in Healthcare.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Exploring the Effect of Explanation Content and Format on User Comprehension and Trust in Healthcare

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-08-10T11:58:02.054568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8e2658f7-ef4b-4956-bd2f-c38645dd40d0 · outbound

This paper cites Facilitating Human-LLM Collaboration through Factuality Scores and Source Attributions.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Facilitating Human-LLM Collaboration through Factuality Scores and Source Attributions

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-08-10T11:58:02.035116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 016eb616-73ef-4620-82a6-915ec93f68d9 · outbound

This paper cites A diachronic perspective on user trust in ai under uncertainty.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making A diachronic perspective on user trust in ai under uncertainty

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:02.973182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2c9da8b9-2cef-4824-b17f-fb4177cb948f · outbound

This paper cites Human feedback is not gold standard.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Human feedback is not gold standard

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:02.913348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8197e873-b280-43f4-b54f-a8fb7ba3c096 · outbound

This paper cites Display signaling in augmented reality: Effects of cue reliability and image realism on attention allocation and trust calibration.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Display signaling in augmented reality: Effects of cue reliability and image realism on attention allocation and trust calibration

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:02.873373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 518ae969-fa41-4cff-99fb-50fb609058fa · outbound

This paper cites When confidence meets accuracy: Exploring the effects of multiple perfor- mance indicators on trust in machine learning models.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making When confidence meets accuracy: Exploring the effects of multiple perfor- mance indicators on trust in machine learning models

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:02.858658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9e7ecdde-e716-4d92-9c56-c41a4059e527 · outbound

This paper cites The role of decision confidence in advice-taking and trust formation.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making The role of decision confidence in advice-taking and trust formation

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:02.845566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e2e5aede-3354-49c1-bffb-d50b9c0a227a · outbound

This paper cites are you really sure?.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making are you really sure?

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:02.832197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9cf78555-9b58-4b5d-ae45-405778f6df5a · outbound

This paper cites What is ai literacy? competencies and design considerations.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making What is ai literacy? competencies and design considerations

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:02.815289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a4104760-b3ba-41e1-ab80-4c879a79c097 · outbound

This paper cites Untan- gling critical interaction with ai in students’ written assessment.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Untan- gling critical interaction with ai in students’ written assessment

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:02.791383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a65b9e7b-4cea-437b-8582-02ba914d9196 · outbound

This paper cites A slow algorithm improves users’ assessments of the algorithm’s accuracy.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making A slow algorithm improves users’ assessments of the algorithm’s accuracy

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:02.778390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 33006806-d498-4f04-9365-dc084ebdf061 · outbound

This paper cites Varshney, Amit Dhurandhar, and Richard Tomsett.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Varshney, Amit Dhurandhar, and Richard Tomsett

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:02.764616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5a34bc21-eefc-4cbf-86c2-50142b9cf418 · outbound

This paper cites Visualization for Human-Centered AI Tools.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Visualization for Human-Centered AI Tools

Reference 73

Resolution: verified exact; local_arxiv, observed 2026-08-10T11:58:02.016063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 89ad6f68-64d4-4abe-900c-e3b3f7c0448e · outbound

This paper cites From Explainable to Interactive AI: A Literature Review on Current Trends in Human-AI Interaction.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making From Explainable to Interactive AI: A Literature Review on Current Trends in Human-AI Interaction

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-08-10T11:58:01.997938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 45703309-58d1-461d-bcee-a0c71cad90db · outbound

This paper cites Human-AI collaboration is not very collaborative yet: A taxonomy of interaction patterns in AI-assisted decision making from a systematic review.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Human-AI collaboration is not very collaborative yet: A taxonomy of interaction patterns in AI-assisted decision making from a systematic review

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.645308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40f4cf2a-084e-4bd5-8d37-472c470f1112 · outbound

This paper cites Improving human-ai collaboration with descriptions of ai behavior.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Improving human-ai collaboration with descriptions of ai behavior

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:02.744783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation babb3c88-de53-4023-a276-cb889eba1ba3 · outbound

This paper cites The human-AI relationship in decision-making: AI explanation to support people on justifying their decisions.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making The human-AI relationship in decision-making: AI explanation to support people on justifying their decisions

Reference 77

Resolution: verified exact; local_arxiv, observed 2026-08-10T11:58:01.967680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 95d4accd-41ea-474e-b5e4-baf615cf4b82 · outbound

This paper cites Ramos, Christopher Meek, Patrice Y.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Ramos, Christopher Meek, Patrice Y

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:02.725403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e2b30556-4209-4ff6-8330-b26382753279 · outbound

This paper cites an unresolved cited work.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Unresolved cited work

Reference 79

Resolution: unresolved; raw_fallback, observed 2026-08-10T11:58:02.712929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4ada4cf7-4a27-4dcb-94c4-fa683daa4d8d · outbound

This paper cites Survey on visual analysis of event sequence data.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Survey on visual analysis of event sequence data

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:02.698419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e5e69f2c-38f4-466e-8cb8-e9428a179b5f · outbound

This paper cites Russell, and Aaron Hertzmann.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Russell, and Aaron Hertzmann

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:02.683687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a4e2f686-607c-4a39-abf8-c526bb877258 · outbound

This paper cites Are explanations helpful? a comparative study of the effects of explanations in ai- assisted decision-making.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Are explanations helpful? a comparative study of the effects of explanations in ai- assisted decision-making

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:02.669612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fa862b0e-776f-459a-ac46-98a768e5d8a1 · outbound

This paper cites Comprehension Is a Double-Edged Sword: Over-Interpreting Unspecified Information in Intelligible Machine Learning Explanations.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Comprehension Is a Double-Edged Sword: Over-Interpreting Unspecified Information in Intelligible Machine Learning Explanations

Reference 83

Resolution: verified exact; local_arxiv, observed 2026-08-10T11:58:01.949125Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9c220cd9-33a9-42f5-aca2-1343c9f13a0b · outbound

This paper cites Are Visual Explanations Useful? A Case Study in Model-in-the-Loop Prediction.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Are Visual Explanations Useful? A Case Study in Model-in-the-Loop Prediction

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.684875Z

Source-reported events for the cited work

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Observation d50357b0-8499-4651-a114-eb9ae4b75b4b · outbound

This paper cites Designing for Appropriate Reliance: The Roles of AI Uncertainty Presentation, Initial User Decision, and User Demographics in AI-Assisted Decision-Making.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Designing for Appropriate Reliance: The Roles of AI Uncertainty Presentation, Initial User Decision, and User Demographics in AI-Assisted Decision-Making

Reference 85

Resolution: verified exact; local_arxiv, observed 2026-08-10T11:58:01.915484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ea7a5fd0-30fc-4e14-beb1-bc11ef415ebb · outbound

This paper cites Toward transparent ai: A survey on interpreting the inner structures of deep neural networks.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Toward transparent ai: A survey on interpreting the inner structures of deep neural networks

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:02.655912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 867f6121-9212-4019-8794-31406b4262d3 · outbound

This paper cites Study on the helpfulness of explainable artificial intelligence.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Study on the helpfulness of explainable artificial intelligence

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:02.643102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 91059ffd-3933-4110-abf1-ab1d5e510390 · outbound

This paper cites an unresolved cited work.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Unresolved cited work

Reference 88

Resolution: unresolved; raw_fallback, observed 2026-08-10T11:58:02.629535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fa87e460-25d5-496e-b404-18d9b33174dc · outbound

This paper cites The metacognitive demands and opportunities of generative ai.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making The metacognitive demands and opportunities of generative ai

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:02.616683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 69f2d172-e4dc-40d7-97a0-2b1731ac39ae · outbound

This paper cites Manipulating and measuring model interpretability.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Manipulating and measuring model interpretability

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:02.596830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9eec8c06-be0a-437d-962f-d21fee41de1b · outbound

This paper cites Understanding the effect of out-of-distribution examples and inter- active explanations on human-ai decision making.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Understanding the effect of out-of-distribution examples and inter- active explanations on human-ai decision making

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:02.582350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f6d15f80-0439-4115-a03c-3fbeefbe76ed · outbound

This paper cites A critical analysis of cognitive load measurement methods for evaluating the usability of different types of interfaces: guidelines and framework for Human-Computer Interaction.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making A critical analysis of cognitive load measurement methods for evaluating the usability of different types of interfaces: guidelines and framework for Human-Computer Interaction

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.721432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c444907b-6ef9-4895-8f46-95afedc27db9 · outbound

This paper cites Emerging Reliance Behaviors in Human-AI Content Grounded Data Generation: The Role of Cognitive Forcing Functions and Hallucinations.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Emerging Reliance Behaviors in Human-AI Content Grounded Data Generation: The Role of Cognitive Forcing Functions and Hallucinations

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:01.726305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbf0fe8d-abe4-414f-9ff6-90cbe6821f6d · outbound

This paper cites Adaptive cognitive mechanisms to maintain calibrated trust and reliance in automation.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Adaptive cognitive mechanisms to maintain calibrated trust and reliance in automation

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:02.566255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7e639115-eee6-4bcb-82bd-e9915e465287 · outbound

This paper cites Evaluating the utility of conformal prediction sets for ai-advised image labeling.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Evaluating the utility of conformal prediction sets for ai-advised image labeling

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:02.552927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2f4c4f77-2e17-47dd-9fd7-732d12cefd71 · outbound

This paper cites Using ai uncertainty quantification to improve human decision-making.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Using ai uncertainty quantification to improve human decision-making

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:02.538042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 92a3c148-c046-40d8-a056-2cb5e95a01fb · outbound

This paper cites The effects of over-reliance on ai dialogue systems on students’ cognitive abilities: a systematic review.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making The effects of over-reliance on ai dialogue systems on students’ cognitive abilities: a systematic review

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:02.523898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4fc7dfe3-42a7-4cdf-b768-170c886fe414 · outbound

This paper cites Automation bias: a systematic review of frequency, effect mediators, and mitigators.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Automation bias: a systematic review of frequency, effect mediators, and mitigators

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:02.503292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2dea97f0-6800-47b9-9d56-e0e9d5be38b7 · outbound

This paper cites Lasecki, Daniel S.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Lasecki, Daniel S

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:02.487382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e141b709-9801-4ff2-89ec-86edeec85d6c · outbound

This paper cites Learning argumentation skills through the use of prompts for self- explaining examples.

Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making Learning argumentation skills through the use of prompts for self- explaining examples

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:58:02.472432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers