User Experience and Usability of Voice User Interfaces: A Systematic Literature Review

As voice user interfaces (VUIs) rapidly transform the landscape of human–computer interaction, their potential to revolutionize user engagement is becoming increasingly evident. This paper aims to advance the field of human–computer interaction by conducting a bibliometric analysis of the user experience associated with VUIs. It proposes a classification framework comprising six research categories to systematically organize the existing literature, analyzes the primary research streams, and identifies future research directions within each category. This systematic literature review provides a comprehensive analysis of the development and effectiveness of VUIs in facilitating natural human–machine interaction. It offers critical insights into the user experience of VUIs, contributing to the refinement of VUI design to optimize overall user interaction and satisfaction.

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Published
2024-09-19
DOI
https://doi.org/10.3390/info15090579
Citations
15
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
5.21
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article

User Experience and Usability of Voice User Interfaces: A Systematic Literature Review

Akshay Madhav Deshmukh, Ricardo Chalmeta
15 citations
Information
AI in Service Interactions
5.21
article

User Experience and Usability of Voice User Interfaces: A Systematic Literature Review

Akshay Madhav Deshmukh, Ricardo Chalmeta
article en
15 citations

Abstract

As voice user interfaces (VUIs) rapidly transform the landscape of human–computer interaction, their potential to revolutionize user engagement is becoming increasingly evident. This paper aims to advance the field of human–computer interaction by conducting a bibliometric analysis of the user experience associated with VUIs. It proposes a classification framework comprising six research categories to systematically organize the existing literature, analyzes the primary research streams, and identifies future research directions within each category. This systematic literature review provides a comprehensive analysis of the development and effectiveness of VUIs in facilitating natural human–machine interaction. It offers critical insights into the user experience of VUIs, contributing to the refinement of VUI design to optimize overall user interaction and satisfaction.

InformationVol. 15(9)
Universitat Jaume I (ES)
Openalex Percentile: Top 4%
AI in Service Interactions
5.21
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