Enhancing Self-Efficacy in Health Self-Examination through Conversational Agent's Encouragement

要旨

Health self-examination, such as checking for changes to skin moles, is key to identifying potential negative changes to one's body. A major barrier to initiating a self-examination is a perceived lack of confidence or knowledge. In this study, we use a 2 x 2 between-subjects design to evaluate the effect of an AI conversational agent (CA) on participant self-efficacy and trust. We manipulated both participants' perceived skill in self-examination (based on prior perceived Success vs. Failure) and the CA's verbal persuasions (Encouraging vs. Neutral), with participants asked to complete a series of skin self-assessment tasks. Our findings show that participants' self-efficacy increased when exposed to encouraging CA persuasion. Additionally, we observed that an encouraging CA significantly increased participants’ trust scores in perceived benevolence compared to a neutral-sounding CA. Our results inform the design of CAs to support users' independent self-examination.

著者
Naja Kathrine Kollerup
Department of Computer Science, Aalborg University, Aalborg, Denmark
Maria-Theresa Bahodi
Department of Computer Science, Aalborg University, Aalborg, Denmark
Samuel Rhys. Cox
Aalborg University, Aalborg, Denmark
Niels van Berkel
Aalborg University, Aalborg, Denmark
DOI

10.1145/3706598.3713142

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713142

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Conversations with AI

G414+G415
7 件の発表
2025-04-29 23:10:00
2025-04-30 00:40:00
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