As voice search has progressively become a new way of information acquisition and human–computer interaction, this paper aims to explore the users' voice search behavior in human–vehicle interaction.
This study employed mixed research methods, including questionnaires and interviews. A total of 151 Amazon MTurk volunteers were recruited to complete a questionnaire based on their most recent and impressive voice search experience. After the questionnaire, this paper conducted an online interview with the participants.
This paper studied users' voice search behavior characteristics in the context of the human–vehicle interaction and analyzed the voice search content, search need, search motivation and user satisfaction. In addition, this paper studied the barriers and suggestions for voice search in human–vehicle interaction through a content analysis of the interviews.
This paper's analysis of users' barriers and suggestions has a specific reference value for optimizing the voice search interaction system and improving the service.
This study is exploratory research that seeks to identify users' voice search needs and tasks and investigate voice search satisfaction in human–vehicle interaction context.
This work was supported by National Natural Science Foundation of China (No. 72104187), China Postdoctoral Science Foundation (No. 2021M692480) and Fundamental Research Funds for the Central Universities.
Liang, S. and Yu, L. (2023), "Voice search behavior under human–vehicle interaction context: an exploratory study", Library Hi Tech, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/LHT-04-2022-0174
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