非语言交际对聊天机器人感知个性和用户满意度的影响

Hsiao-Chen You, H. Weng
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摘要

随着人工智能的迅速发展,公司已经开发出专属的聊天机器人来促进对话式商务,并在品牌和客户之间建立情感联系。因此,塑造与品牌形象相匹配的聊天机器人个性往往是聊天机器人设计的重点。两项研究考察了非语言交流元素(头像、表情包、表情符号)如何影响用户对聊天机器人性格的判断,并探讨了聊天机器人性格对用户满意度的影响。研究1采用感性工学,以非语言元素的六种组合为实验条件,以品牌人格量表的五个维度为感性词汇,进行在线调查。结果显示,这三种非语言因素确实影响了用户对聊天机器人性格的看法;然而,每个因素对不同人格维度的影响是不同的。在研究2中,在研究1的基础上,开发了两个具有鲜明个性特征的众筹聊天机器人,真诚和不真诚,作为实验条件,在FB messenger中与参与者进行互动。收集有效问卷150份及实验过程中被试的点击率来衡量被试的满意度。结果显示,参与者对真诚的聊天机器人比不真诚的聊天机器人更满意。此外,聊天机器人的个性也影响了参与者对信息质量的判断以及他们使用聊天机器人的意愿。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of nonverbal communication on Chatbot's perceived personality and user satisfaction
As artificial intelligence develops rapidly, companies have created exclusive chatbots to facilitate conversational commerce and establish an emotional connection between their brands and their customers. Therefore, shaping the chatbot personality to match the brand image is often the focus of chatbot design. Two studies were conducted to investigate how nonverbal communication elements (avatar, sticker, emoji) affect users' judgment of chatbot personality and explore the effect of chatbot personality on user satisfaction. In Study 1, Kansei engineering was adopted to conduct an online survey using six combinations of nonverbal elements as experimental conditions and the five dimensions of the Brand Personality Scale as Kansei vocabularies. The results revealed that the three nonverbal elements did affect users' perceptions of chatbot personalities; however, the impacts of each element on different personality dimensions varied. In Study 2, based on Study 1, two crowdfunding chatbots with distinct personality traits, sincere and insincere, were developed as the experimental conditions to interact with participants within FB messenger. One hundred fifty valid questionnaires and the click rate of participants during the experiment were collected to measure participants' satisfaction. The results showed that participants were more satisfied with the sincere chatbot than the insincere chatbot. In addition, the personality of the chatbots also affected the participants' judgment of the quality of the messages as well as their willingness to use the chatbots.
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