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Voice orientation of conversational interfaces in vehicles.

Connected vehicles have become a promising platform for conversational agents. However, drivers might struggle to control systems that feature multiple AI agents. To improve the usability of increasingly complex systems and the user's interaction experience, the integration of various conversational...

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Published in:Behaviour & Information Technology Vol. 43; no. 3; pp. 433 - 445
Main Authors: Lee, Kwan Min, Moon, Yohan, Park, Inyoung, Lee, Jae-gil
Format: pictorial research tables/charts Journal Article
Published: Taylor & Francis Ltd Feb2024
Online Access:View this record in EBSCOhost
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        0144929X
        B6Q
      jtl: Behaviour & Information Technology
      issn: 0144929X
      maglogo: Y
    pubinfo:
      dt: Feb2024
      vid: 43
      iid: 3
      pid: 377
      pub: Taylor & Francis Ltd
      place: Philadelphia, Pennsylvania
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        175519541
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        175519541
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        10.1080/0144929X.2023.2166870
        175519541
      ppf: 433
      ppct: 12
      formats:
      tig:
        atl: Voice orientation of conversational interfaces in vehicles.
      aug:
        au:
          Lee, Kwan Min
          Moon, Yohan
          Park, Inyoung
          Lee, Jae-gil
        affil: Nanyang Technological University, Wee Kim Wee School of Communication & Information, Singapore
      sug:
        subj:
          Voice
          Conversation
          Artificial Intelligence
          Motor Vehicles
          Task Performance and Analysis
          User-Computer Interface
          Internet of Things
          Human
          Male
          Female
          Students, Undergraduate
          Funding Source
          Summated Rating Scaling
          Surveys
          Multivariate Analysis of Variance
          Descriptive Statistics
          Comparative Studies
          Mediation Analysis
          Confidence Intervals
          Student Satisfaction
          Male
          Female
      ab: Connected vehicles have become a promising platform for conversational agents. However, drivers might struggle to control systems that feature multiple AI agents. To improve the usability of increasingly complex systems and the user's interaction experience, the integration of various conversational agents needs to be carefully considered. This study aims to investigate the following: What constitutes an efficient, user-friendly arrangement of the tasks performed by a home and a car artificial intelligence (AI) agent? What is the optimal method to trigger the use of such agents? A between-subjects factorial experiment was conducted with three types of AI agent setting (home AI generalist vs. vehicle AI generalist vs. home and vehicle AI specialists) and two activation methods (voice activation vs. push-to-talk activation). The results indicate that interacting with specialist AI agents enhances the perceived ease of use and the credibility of these agents. Furthermore, voice activation improves the social presence and attractiveness of an AI agent. The findings suggest that an AI agent that offers role specialization and a natural interaction method will improve drivers' interaction experience.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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