{"total":11,"items":[{"citing_arxiv_id":"2605.23177","ref_index":70,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Cognitive offloading and the speedup illusion in human-AI interaction","primary_cat":"cs.CY","submitted_at":"2026-05-22T02:53:12+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"Preregistered behavioral study identifies a speedup illusion where users overestimate time savings from AI assistance on cognitive tasks despite no actual difference in completion times.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.23159","ref_index":11,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Generative AI and the Reorganization of Labor Demand","primary_cat":"econ.GN","submitted_at":"2026-05-22T02:18:40+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"Firms adjust to generative AI by reallocating hiring (52% of exposure decline) and redesigning tasks within jobs (39.5%), with senior roles shifting earlier via reallocation and junior roles using mixed channels.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.21743","ref_index":4,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Who Uses AI? 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Tokenmaxxing: How AI Agents Are Changing Optimization Behavior. https://www.nytimes.com/2026/03/ 20/technology/tokenmaxxing-ai-agents.html [178] Kiran Tomlinson, Sonia Jaffe, Will Wang, Scott Counts, and Siddharth Suri. 2025. Working with AI: measuring the applicability of generative AI to occupations.arXiv preprint arXiv:2507.07935(2025). [179] Austin Toombs, Laura Devendorf, Patrick Shih, Elizabeth Kaziunas, David Nemer, Helena Mentis, and Laura Forlano. 2018. Sociotechnical systems of care. InCompanion of the 2018 ACM conference on computer supported cooperative work and social computing. 479-485. [180] Joan Tronto. 2020.Moral boundaries: A political argument for an ethic of care. Routledge."},{"citing_arxiv_id":"2605.02598","ref_index":71,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"What Jobs Can AI Learn? 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Twidale. 2005. Over the Shoulder Learning: Supporting Brief Informal Learning.Computer Supported Cooperative Work (CSCW)14, 6 (Dec. 2005), 505- 547. doi:10.1007/s10606-005-9007-7 [119] Päivi Tynjälä. 2008. Perspectives into Learning at the Workplace.Educational Research Review3, 2 (Jan. 2008), 130-154. doi:10.1016/j.edurev.2007.12.001 [120] Priyan Vaithilingam, Tianyi Zhang, and Elena L. Glassman. 2022. Expectation vs. Experience: Evaluating the Usability of Code Generation Tools Powered by Large Language Models. InExtended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (CHI EA '22). Association for Computing Machinery, New York, NY, USA, 1-7. doi:10.1145/3491101."},{"citing_arxiv_id":"2512.03671","ref_index":51,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Generative AI Practices, Literacy, and Divides: An Empirical Analysis in the Italian Context","primary_cat":"cs.CL","submitted_at":"2025-12-03T11:01:28+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":4.0,"formal_verification":"none","one_line_summary":"Survey of Italian adults finds generative AI adoption and capital-enhancing uses stratified by education, age, tech familiarity, and gender, with AI training as key predictor of purposeful engagement.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2509.10652","ref_index":102,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Vibe Coding in Product Teams: Reconfiguring AI-Assisted Workflows, Prototyping, and Collaboration","primary_cat":"cs.HC","submitted_at":"2025-09-12T19:28:38+00:00","verdict":"ACCEPT","verdict_confidence":"MODERATE","novelty_score":5.0,"formal_verification":"none","one_line_summary":"Interviews reveal a four-stage vibe coding workflow that accelerates prototyping while introducing tensions between quick efficiency and reflective design intention, plus asymmetries in trust and ownership.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null}],"limit":50,"offset":0}