聊天还是发短信?沟通方式在采用非指令、目标实现教练聊天机器人中的作用

IF 1 4区 计算机科学 Q3 COMPUTER SCIENCE, CYBERNETICS Interacting with Computers Pub Date : 2023-06-21 DOI:10.1093/iwc/iwad039
N. Terblanche, G. P. Wallis, M. Kidd
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引用次数: 1

摘要

尽管聊天机器人(会话代理)在日益多样化的环境中激增,但用户对聊天机器人交互的满意度仍然是一个挑战。我们还没有完全了解聊天机器人的可用性和采用因素,或者如何根据用户的个性特征定制聊天机器人。聊天机器人设计的一个重要且研究不足的方面是用户对不同通信方式(如语音和文本)的感知。在这项组间研究中(n = 393名参与者),我们要求参与者在可用性、性能预期和风险感知方面对同等的基于文本(n = 189)和基于语音(n = 204)的非指标性目标实现指导聊天机器人进行评分。我们还考虑了参与者的性格外向性。对于所有参与者的可用性,所有参与者的聊天机器人之间没有差异;然而,在被归类为内向者的小组中,观察到语音机器人的评分更高,而在被归类为外向者的小组中没有发现差异。就预期表现而言,所有参与者,无论是外向者还是内向者,都对短信机器人的评价更高。所有参与者(外向者和内向者)的风险评级显示,机器人之间没有差异。结果表明,一些参与者认为语音机器人更容易使用,而所有参与者都认为文本机器人表现更好。聊天机器人的创造者应该考虑将语音作为吸引用户的一种方式,将文本作为完成复杂任务的一种方式。外向性在聊天机器人沟通方式选择中没有显著作用。这些结果可能有助于设计上下文和受众特定的聊天机器人,以提高效率和用户满意度。
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Talk or Text? The Role of Communication Modalities in the Adoption of a Non-directive, Goal-Attainment Coaching Chatbot
Despite the proliferation of chatbots (conversational agents) in increasingly varied contexts, user satisfaction with chatbot interactions remains a challenge. We do not yet fully understand chatbot usability and adoption factors or how to customize chatbots based on users' personality traits. One important and under researched aspect of chatbot design is users' perceptions of different communication modalities such as voice and text. In this between-group study (n = 393 participants), we asked participants to rate an equivalent text-based (n = 189) and voice-based (n = 204) non-directive, goal-attainment coaching chatbot in terms of usability, performance expectancy and risk perception. We also considered participants' personality in terms of extraversion. For usability across all participants, there was no difference between the chatbots for all participants; however, a higher rating of the voicebot was observed in the group classified as introverts and no difference was found for participants classified as extroverts. For performance expectancy all participants, extroverts and introverts rated the textbot higher. Risk ratings showed no difference between bots for all participants, extroverts and introverts. The results suggest that the voicebot was considered slightly easier to use for some participants while the textbot was considered to perform better by all participants. Creators of chatbots should consider using voice as a modality to attract users and text as a mode to accomplish complex tasks. Extraversion did not play a significant part in chatbot communication modality choice. These results may assist in designing context and audience-specific chatbots for increased efficacy and user satisfaction.
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来源期刊
Interacting with Computers
Interacting with Computers 工程技术-计算机:控制论
CiteScore
2.70
自引率
0.00%
发文量
12
审稿时长
>12 weeks
期刊介绍: Interacting with Computers: The Interdisciplinary Journal of Human-Computer Interaction, is an official publication of BCS, The Chartered Institute for IT and the Interaction Specialist Group . Interacting with Computers (IwC) was launched in 1987 by interaction to provide access to the results of research in the field of Human-Computer Interaction (HCI) - an increasingly crucial discipline within the Computer, Information, and Design Sciences. Now one of the most highly rated journals in the field, IwC has a strong and growing Impact Factor, and a high ranking and excellent indices (h-index, SNIP, SJR).
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