人間らしいデザインのAI音声アシスタントは、利用者にセキュリティリスクを軽視させる(Humanlike design of AI voice assistants helps users disregard security risks, study finds)

2026-10-29 カンザス大学(KU)

米国カンザス大学などの研究チームは、AI音声アシスタントの人間らしい設計が、利用者のセキュリティリスク認識や継続利用の意思に与える影響を明らかにした。SiriやAlexaなどのAI音声アシスタント利用者277人を対象にアンケート調査を実施し、構造方程式モデリングによって、擬人化されたデザイン、利用時の楽しさ、セキュリティリスク認識、利用中止意向の関係を分析した。その結果、人間らしい声や外見、親しみやすい人格表現は、利用者の楽しさや心理的な親近感を高め、それを通じてセキュリティリスクの認識と利用中止意向を低下させることが分かった。ただし、擬人化そのものがセキュリティリスク認識を直接低下させるわけではなく、楽しさを介した心理的な作用が重要だった。また、擬人化が強いほど、楽しさによるリスク認識の低下が強まる傾向も確認された。研究は、AIの人間らしい設計が利用者の信頼や利便性を高める一方、プライバシーや情報セキュリティへの警戒を弱める可能性を示している。

<関連情報>

音も良く、使い心地もさらに良くなる――擬人化が人工知能音声アシスタントの利用に与える影響 Sounds good and feels better—how anthropomorphism influences artificial intelligence voice assistant use

Yixiu Yu,Sisheng Liang,Haoqiang Jiang,Rui Sundrup,Andrew N.K. Chen
Information & Management  Available online: 14 August 2026
DOI:https://doi.org/10.1016/j.im.2026.104416

Abstract

Anthropomorphic design is increasingly embedded into artificial intelligence (AI) voice assistants (AIVAs) to create more emotionally engaging interaction experiences. However, despite widespread adoption, users continue to express significant concern regarding security-related risks, and the mechanisms through which anthropomorphic cues help alleviate this concern remain insufficiently understood. Drawing on dual-appraisal perspectives and affect-as-information theory, this study investigates how anthropomorphism can shape evaluative processing (i.e., perceived enjoyment, perceived security risk, and discontinuance intention) under conditions of technological opacity and uncertainty in AIVA use contexts. We develop a research model in which anthropomorphism functions not only as a generator of affect, but also as a contextual amplifier that strengthens the evaluative influence of affective experience during security-related judgment formation. Survey data from AIVA users were analyzed using structural equation modeling, supplemented by robustness checks and post-hoc analyses. The results show that anthropomorphism increases perceived enjoyment significantly, which in turn reduces both perceived security risk and discontinuance intention. However, anthropomorphism does not reduce perceived security risk directly; rather, the relationship operates primarily through perceived enjoyment, highlighting the central role of affective appraisal. Furthermore, anthropomorphism strengthens the negative relationship between perceived enjoyment and perceived security risk, suggesting that affective experience exerts a stronger evaluative influence under humanlike interaction conditions. Post hoc analyses further reveal nonlinear affective effects, highlight the importance of voice-specific anthropomorphic cues, and suggest that anthropomorphism may also facilitate habitual engagement through affective experience. Based on our findings, theoretical contributions, practical implications, and future research directions are provided.

1603情報システム・データ工学
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