Qualitative Approaches to Voice UX

Article Properties
Abstract
Cite
Seaborn, Katie, et al. “Qualitative Approaches to Voice UX”. ACM Computing Surveys, 2024, https://doi.org/10.1145/3658666.
Seaborn, K., Urakami, J., Pennefather, P., & Miyake, N. P. (2024). Qualitative Approaches to Voice UX. ACM Computing Surveys. https://doi.org/10.1145/3658666
Seaborn K, Urakami J, Pennefather P, Miyake NP. Qualitative Approaches to Voice UX. ACM Computing Surveys. 2024;.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Computer software
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Computer engineering
Computer hardware
Description

How can we better understand the user experience (UX) of voice-based interfaces? This paper presents a systematic review of qualitative research methods applied to voice UX. The authors conducted a comprehensive literature search, creating a systematic map of existing studies and synthesizing their findings. The research highlights the value of qualitative approaches in capturing the complexities of voice interactions, offering rich descriptions that quantitative data alone cannot provide. The review identifies opportunities for improving rigor in both methods and outcomes within voice UX research. It also distills recurring patterns of user experience across diverse devices and qualitative methods. The authors emphasize the importance of qualitative insights for designing more effective and user-friendly voice interfaces. This study provides a valuable resource for researchers and practitioners seeking to leverage qualitative methods in the development of voice technology.

Published in ACM Computing Surveys, this paper aligns with the journal's focus on computer science and human-computer interaction. By providing a systematic review and qualitative synthesis of voice UX research, the study contributes to the development of more user-centered and effective computing technologies.

Refrences