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Leveraging AI-Generated Emotional Self-Voice to Nudge People towards their Ideal Selves

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arxiv 2409.11531 v3 pith:GQBAE5WJ submitted 2024-09-17 cs.HC

Cathy Mengying Fang , Phoebe Chua , Samantha Chan , Joanne Leong , Andria Bao , Pattie Maes This is my paper · ORCID
classification cs.HC
keywords idealself-voiceselvesemotionalgoalindividualsmentalnudge
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Emotions, shaped by past experiences, significantly influence decision-making and goal pursuit. Traditional cognitive-behavioral techniques for personal development rely on mental imagery to envision ideal selves, but may be less effective for individuals who struggle with visualization. This paper introduces Emotional Self-Voice (ESV), a novel system combining emotionally expressive language models and voice cloning technologies to render customized responses in the user's own voice. We investigate the potential of ESV to nudge individuals towards their ideal selves in a study with 60 participants. Across all three conditions (ESV, text-only, and mental imagination), we observed an increase in resilience, confidence, motivation, and goal commitment, and the ESV condition was perceived as uniquely engaging and personalized. We discuss the implications of designing generated self-voice systems as a personalized behavioral intervention for different scenarios.

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  1. Human Authenticity and Flourishing in an AI-Driven World: Edmund's Journey and the Call for Mindfulness

    cs.HC 2025-05 conditional novelty 5.0 of 10

    An HCI position paper argues for a Human Flourishing Benchmark that scores AI systems on cognitive preservation, autonomy, skill development, and relational authenticity.

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