不开玩笑：以幽默或微笑问候老年人的具身对话智能体与初始接受度无关
No Joke: An Embodied Conversational Agent Greeting Older Adults with Humour or a Smile Unrelated to Initial Acceptance
AI总结：
本研究针对老年人对具身对话智能体（ECAs）的接受度问题，基于情绪环状模型开发三种不同表情的ECA开展实验，发现除技术态度外，积极表情未显著提升初始接受度，质疑了相关互动方式的效果。
摘要：
具身对话智能体（Embodied conversation agents, ECAs）正越来越多地被开发为面向老年人的助手或伴侣。老年人可能对ECAs不熟悉，这会影响其采用度和可接受性。第一印象与后续判断高度相关，即便是对计算机智能体的判断也是如此，且可能影响接受度。我们利用情绪环状模型（circumplex model of affect）开发了三种版本的ECA——表情分别为大笑、微笑和中性——以评估积极第一印象如何影响接受度。249名老年人的实验结果显示，除了对技术和智能智能体的总体态度外，不存在统计学上的显著效应。这对大笑、笑话、双关语和微笑作为老年人初始参与方法的潜力提出了质疑。
英文摘要：
Embodied conversation agents (ECAs) are increasingly being developed for older adults as assistants or companions. Older adults may not be familiar with ECAs, influencing uptake and acceptability. First impressions can correlate strongly with subsequent judgments, even of computer agents, and could influence acceptance. Using the circumplex model of affect, we developed three versions of an ECA -- laughing, smiling, and neutral in expression -- to evaluate how positive first impressions affect acceptance. Results from 249 older adults indicated no statistically significant effects except for general attitudes towards technology and intelligent agents. This questions the potential of laughter, jokes, puns, and smiles as a method of initial engagement for older adults.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
