Design of Artificial Intelligence and robotics habitually assumes that adding more humanlike features improves the user experience, mainly kept in check by suspicion of uncanny effects. Three strands of theorizing are brought together for the first time and empirically put to the test: Media Equation (and in its wake, Computers Are Social Actors), Uncanny Valley theory, and as an extreme of human-likeness assumptions, the Singularity. We measured the user experience of real-life visitors of a number of seminars who were checked in either by Smart Dynamics' Iwaa, Hanson's Sophia robot, Sophia's on-screen avatar, or a human assistant. Results showed that human-likeness was not in appearance or behavior but in attributed qualities of being alive. Media Equation, Singularity, and Uncanny hypotheses were not confirmed. We discuss the imprecision in theorizing about human-likeness and rather opt for machines that 'function adequately.'
翻译:设计人工智能和机器人通常假设添加更多类人特征会改善用户体验,尤其需要防范离奇现象。这篇文章首次将三种理论结合起来,并进行了实证测试:媒体方程(以及其衍生的“计算机都是社会角色”观点)、离奇现象理论,以及作为类人特征的极端假设,即奇点理论。我们衡量了现实生活中参加了一些研讨会的访客的用户体验,这些访客的登记由Smart Dynamics的Iwaa、汉森公司的Sophia机器人、Sophia的屏幕化身或人类助手完成。结果显示,人类特征并不在于外貌或行为,而在于其被赋予的有生命的品质。媒体方程、奇点理论和离奇假设均未得到证实。我们讨论了关于类人特征的理论不精确性,并倾向于使用“功能适当”的机器。