“I felt her company”: A qualitative study on factors affecting closeness and emotional support seeking with an embodied conversational agent

亲密度 具身认知 心理学 社会心理学 质量(理念) 样品(材料) 探索性研究 定性研究 应用心理学 定性性质 情感表达 计算机科学 人工智能 社会学 认识论 化学 哲学 数学分析 机器学习 色谱法 社会科学 数学 人类学
作者
Kate Loveys,Catherine Hiko,Mark Sagar,Xueyuan Zhang,Elizabeth Broadbent
出处
期刊:International journal of human-computer studies [Elsevier BV]
卷期号:160: 102771-102771 被引量:34
标识
DOI:10.1016/j.ijhcs.2021.102771
摘要

Embodied conversational agents (ECAs) show promise for use as companions in emotional support applications, although real world uptake can be low. Incorporating closeness building techniques to interactions may improve engagement. Research has identified a range of linguistic, behavioural, emotional, and appearance strategies to build rapport and working alliance with ECAs, however substantially less research has investigated closeness; a relationship quality that is more suited to ECAs in supportive companion roles. Exploratory qualitative research may help to inform theoretical models and the design of ECAs for closeness in supportive applications. Qualitative data were collected as part of a mixed-method experimental study. As part of the study, a community sample of 197 adults provided written responses to two open-ended questions assessing barriers and facilitators to closeness and emotional support seeking with an ECA. Data were analysed by two independent raters using conventional content analysis. Parent themes and sub-themes were derived from the data and refined to achieve agreement. Factors affecting closeness with an ECA included its physical characteristics, conversational ability, rapport building behaviours, and program errors. These factors, plus features of ECA specific support and preferences for human support affected willingness to seek emotional support from the ECA. The results contribute to the theoretical framework of embodied agent-patient communication and may inform the design of companion ECAs. The findings suggest that companion ECAs should deliver rapport building behaviours and high quality conversations, be constructed with humanlike facial features, and be error free. Although, these features should be further evaluated experimentally.
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