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The influence of agent and message type on perceptions of social support in human-machine communication
Communication Research Reports ( IF 1.9 ) Pub Date : 2021-09-01 , DOI: 10.1080/08824096.2021.1966405
Bryan Abendschein , Chad Edwards , Autumn Edwards

ABSTRACT

In this study, we investigated the differences in perceived competence, credibility, and social presence within socially supportive interactions (emotional or instrumental) using human, AI, and social robot actors. We further differentiated our findings by actor and type of support and found that participants thought the human and social robot differed in terms of competence but did not rate them differently on impressions of support. Our findings suggest that people may be more attuned to the outcomes of support versus the actors involved in the interaction. In this brief report, we present CASA as a theoretical framework, offer a detailed analysis of our findings, and discuss the perceived criteria for effective socially supportive interactions.



中文翻译:

人机交流中Agent和消息类型对社会支持感知的影响

摘要

在这项研究中,我们使用人类、人工智能和社交机器人演员调查了在社会支持互动(情感或工具)中感知能力、可信度和社会存在感的差异。我们通过参与者和支持类型进一步区分了我们的发现,发现参与者认为人类和社交机器人在能力方面存在差异,但在支持印象方面并没有对它们进行不同的评价。我们的研究结果表明,与参与互动的参与者相比,人们可能更关注支持的结果。在这份简短的报告中,我们将 CASA 作为一个理论框架,对我们的发现进行了详细分析,并讨论了有效的社会支持互动的感知标准。

更新日期:2021-10-12
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