Cited by 249Social Robot Interaction and HRISpeech and dialogue systemsAI in Service Interactions

Voice in Human–Agent Interaction: A Survey

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Seaborn, Katie, Miyake, Norihisa P., Pennefather, Peter, Otake-Matsuura, Mihoko·2022·ACM Computing Surveys

Abstract

Social robots, conversational agents, voice assistants, and other embodied AI are increasingly a feature of everyday life. What connects these various types of intelligent agents is their ability to interact with people through voice. Voice is becoming an essential modality of embodiment, communication, and interaction between computer-based agents and end-users. This survey presents a meta-synthesis on agent voice in the design and experience of agents from a human-centered perspective: voice-based human–agent interaction (vHAI). Findings emphasize the social role of voice in HAI as well as circumscribe a relationship between agent voice and body, corresponding to human models of social psychology and cognition. Additionally, changes in perceptions of and reactions to agent voice over time reveals a generational shift coinciding with the commercial proliferation of mobile voice assistants. The main contributions of this work are a vHAI classification framework for voice across various agent forms, contexts, and user groups, a critical analysis grounded in key theories, and an identification of future directions for the oncoming wave of vocal machines.

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  • Research on CAs is a rapidly growing field, with an increase in publications over the last few decades, especially fueled through the development of CAs such as Amazon's Alexa that build upon voice as a modality.

    “Research on such agents is a rapidly growing field, with an increase in publications over the last few decades, especially fueled through the development of CAs such as Amazon's Alexa that build upon voice as a modality, so called voice bots (Schmitt et al., 2021;Seaborn et al., 2022;Kendall et al., 2020).”

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Authors
Seaborn, K., Miyake, N. P., Pennefather, P., & Otake-Matsuura, M.
Affiliations
  • Tokyo Institute of Technology (JP)
  • RIKEN Center for Advanced Intelligence Project (JP)
  • gDial Inc., Toronto, Ontario, Canada
  • RIKEN Center for Advanced Intelligence Project (AIP), Tokyo, Japan
Venue
ACM Computing Surveys
Published
2021-05-03
Volume
54
Issue
4
Pages
1-43
ISSN
  • 0360-0300 (ISSN-L)
  • 1557-7341
OpenAlex
W3159367349
Cited by
249
References
176
Citations by year
2026: 59 · 2025: 69 · 2024: 50 · 2023: 37 · 2022: 31 · 2021: 3
FWCI
29.64
Type
journal article
Language
en
Open access
Locations
ACM Computing Surveys (publishedVersion)
Funders
Japan Society for the Promotion of Science (20H05022,20H05574)
Topics
  • Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
  • Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
Keywords
social robots, chatbots, voice assistants, embodied AI, human-centered design, classification framework

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