Empathy by Design: The Influence of Trembling AI Voices on Prosocial Behavior

IF 9.6 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Fotis Efthymiou;Christian Hildebrand
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Abstract

Recent advances in artificial speech synthesis and machine learning equip AI-powered conversational agents, from voice assistants to social robots, with the ability to mimic human emotional expression during their interactions with users. One unexplored development is the ability to design machine-generated voices that induce varying levels of “shakiness” (i.e., trembling) in the agents’ voices. In the current work, we examine how the trembling voice of a conversational AI impacts users’ perceptions, affective experiences, and their subsequent behavior. Across three studies, we demonstrate that a trembling voice enhances the perceived psychological vulnerability of the agent, followed by a heightened sense of empathic concern, ultimately increasing people's willingness to donate in a prosocial charity context. We provide further evidence from a large-scale field experiment that conversational agents with a trembling voice lead to increased click-through rates and decreased costs-per-impression in an online charity advertising setting. These findings deepen our understanding of the nuanced impact of intentionally designed voices of conversational AI agents on humans and highlight the ethical and societal challenges that arise.
移情设计:颤抖的人工智能声音对亲社会行为的影响
人工语音合成和机器学习领域的最新进展使人工智能驱动的会话代理(从语音助手到社交机器人)在与用户互动时能够模仿人类的情感表达。其中一项尚未开发的功能是设计机器生成的声音,使代理的声音产生不同程度的 "颤抖"(即颤抖)。在目前的工作中,我们研究了人工智能对话的颤抖声音如何影响用户的感知、情感体验及其后续行为。在三项研究中,我们证明了颤抖的声音会增强人们对代理心理脆弱性的感知,继而增强共情关切感,最终提高人们在亲社会慈善背景下的捐赠意愿。我们从一项大规模的现场实验中进一步证明,在网络慈善广告中,声音颤抖的对话代理会提高点击率,降低每次印象的成本。这些发现加深了我们对有意设计的人工智能对话代理声音对人类的细微影响的理解,并突出了由此产生的伦理和社会挑战。
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来源期刊
IEEE Transactions on Affective Computing
IEEE Transactions on Affective Computing COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, CYBERNETICS
CiteScore
15.00
自引率
6.20%
发文量
174
期刊介绍: The IEEE Transactions on Affective Computing is an international and interdisciplinary journal. Its primary goal is to share research findings on the development of systems capable of recognizing, interpreting, and simulating human emotions and related affective phenomena. The journal publishes original research on the underlying principles and theories that explain how and why affective factors shape human-technology interactions. It also focuses on how techniques for sensing and simulating affect can enhance our understanding of human emotions and processes. Additionally, the journal explores the design, implementation, and evaluation of systems that prioritize the consideration of affect in their usability. We also welcome surveys of existing work that provide new perspectives on the historical and future directions of this field.
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