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Mapping Perceptions of Humanness in Intelligent Personal Assistant Interaction / Philip R. Doyle; Justin Edwards; Leigh Clark; Odile Dumbleton; Benjamin R. Cowan

Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services, Pages: 1 - 12

Swansea University Author: Leigh, Clark

DOI (Published version): 10.1145/3338286.3340116

Abstract

Humanness is core to speech interface design. Yet little is known about how users conceptualise perceptions of humanness and how people define their interaction with speech interfaces through this. To map these perceptions n=21 participants held dialogues with a human and two speech interface based...

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Published in: Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services
ISBN: 9781450368254 978-1-4503-6825-4
Published: New York, NY, USA ACM 2019
URI: https://cronfa.swan.ac.uk/Record/cronfa52498
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Abstract: Humanness is core to speech interface design. Yet little is known about how users conceptualise perceptions of humanness and how people define their interaction with speech interfaces through this. To map these perceptions n=21 participants held dialogues with a human and two speech interface based intelligent personal assistants, and then reflected and compared their experiences using the repertory grid technique. Analysis of the constructs show that perceptions of humanness are multidimensional, focusing on eight key themes: partner knowledge set, interpersonal connection, linguistic content, partner performance and capabilities, conversational interaction, partner identity and role, vocal qualities and behavioral affordances. Through these themes, it is clear that users define the capabilities of speech interfaces differently to humans, seeing them as more formal, fact based, impersonal and less authentic. Based on the findings, we discuss how the themes help to scaffold, categorise and target research and design efforts, considering the appropriateness of emulating humanness.
Keywords: speech interface; voice user interface; intelligent personal assistants; repertory grid; mental models; humanness.
Start Page: 1
End Page: 12