SIG ODIS - Artificial Intelligence and Semantic Technologies for Intelligent Systems
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Paper Type
ERF
Paper Number
1444
Description
Accents are an extensively researched topic in social psychology. Research shows that individuals with nonnative accents are likely to experience stigmatization. Prior research has also shown that humans treat computers as they would other humans and that voice agents’ accents affect perceptions and evaluations of these systems. As the market for intelligent conversational agents (ICAs) like Siri and Alexa continues to grow, it becomes increasingly relevant to understand how ICA accents are used and how they might be utilized to improve the user relationship. Guided by and looking to address several gaps in the literature, two studies are proposed. The first aims to collect information on ICA accent functionality usage while the second aims to explore if human biases related to accents transfer to ICAs. As a novel area of research, findings of the research would impact future design and development of ICAs, as well as contribute to existing literature on ICAs.
Recommended Citation
Low, Caitlyn and Moussawi, Sara, "Does the Accent of an Intelligent Conversational Agent Matter?" (2022). AMCIS 2022 Proceedings. 3.
https://aisel.aisnet.org/amcis2022/sig_odis/sig_odis/3
Does the Accent of an Intelligent Conversational Agent Matter?
Accents are an extensively researched topic in social psychology. Research shows that individuals with nonnative accents are likely to experience stigmatization. Prior research has also shown that humans treat computers as they would other humans and that voice agents’ accents affect perceptions and evaluations of these systems. As the market for intelligent conversational agents (ICAs) like Siri and Alexa continues to grow, it becomes increasingly relevant to understand how ICA accents are used and how they might be utilized to improve the user relationship. Guided by and looking to address several gaps in the literature, two studies are proposed. The first aims to collect information on ICA accent functionality usage while the second aims to explore if human biases related to accents transfer to ICAs. As a novel area of research, findings of the research would impact future design and development of ICAs, as well as contribute to existing literature on ICAs.
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SIG ODIS