Older adults' perspectives on multimodal interaction with a conversational virtual coach

IF 2.4 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Frontiers in Computer Science Pub Date : 2023-11-07 DOI:10.3389/fcomp.2023.1125895
Mira El Kamali, Leonardo Angelini, Denis Lalanne, Omar Abou Khaled, Elena Mugellini
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Abstract

Introduction The use of multiple interfaces may improve the perception of a stronger relationship between a conversational virtual coach and older adults. The purpose of this paper is to show the effect of output combinations [single-interface (chatbot, tangible coach), multi-interface (assignment, redundant-complementary)] of two distinct conversational agent interfaces (chatbot and tangible coach) on the eCoach-user relationship (closeness, commitment, complementarity) and the older adults' feeling of social presence of the eCoach. Methods Our study was conducted with two different study settings: an online web survey and a face to face experiment. Results Our online study with 59 seniors shows that the output modes in multi-interface redundant-complementary manner significantly improves the eCoach-user relationship and social presence of the eCoach compared to only using single-interfaces outputs. Whereas in our face to face experiment with 15 seniors, significant results were found only in terms of higher social presence of multi-interface redundant complementary manner compared to chatbot only. Discussion We also investigated the effect of each study design on our results, using both quantitative and qualitative methods.
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老年人对会话式虚拟教练多模式互动的看法
多界面的使用可以提高会话虚拟教练与老年人之间更强关系的感知。本文的目的是展示两个不同的会话代理界面(聊天机器人和有形教练)的输出组合[单界面(聊天机器人,有形教练),多界面(分配,冗余互补)]对eCoach-用户关系(亲密,承诺,互补性)和老年人对eCoach的社会存在感的影响。方法本研究采用两种不同的研究设置:在线网络调查和面对面实验。结果我们对59名老年人的在线研究表明,与仅使用单界面输出相比,多界面冗余互补的输出模式显著改善了eCoach与用户的关系和eCoach的社会存在。而在我们对15名老年人进行的面对面实验中,与聊天机器人相比,多界面冗余互补方式的社会存在感更高。我们还使用定量和定性方法调查了每个研究设计对结果的影响。
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来源期刊
Frontiers in Computer Science
Frontiers in Computer Science COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
4.30
自引率
0.00%
发文量
152
审稿时长
13 weeks
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