From Voice to Value: Leveraging AI to Enhance Spoken Online Reviews on the Go

Online reviews help people make better decisions. Review platforms usually depend on typed input, where leaving a good review requires significant effort because users must carefully organize and articulate their thoughts. This may discourage users from leaving comprehensive and high-quality reviews, especially when they are on the go. To address this challenge, we developed Vocalizer, a mobile application that enables users to provide reviews through voice input, with enhancements from a large language model (LLM). In a longitudinal study, we analysed user interactions with the app, focusing on AI-driven features that help refine and improve reviews. Our findings show that users frequently utilized the AI agent to add more detailed information to their reviews. We also show how interactive AI features can improve users self-efficacy and willingness to share reviews online. Finally, we discuss the opportunities and challenges of integrating AI assistance into review-writing systems.

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Publication Details

Published
2024-12-01
DOI
https://doi.org/10.1145/3701571.3701593
Primary Topic
Sentiment Analysis and Opinion Mining
Type
article
Field-Weighted Citation Impact
0.00

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article

From Voice to Value: Leveraging AI to Enhance Spoken Online Reviews on the Go

Niels van Berkel, Chi-Lan Yang, Dániel Szabó, Aku Visuri et al.
Sentiment Analysis and Opinion Mining
article

From Voice to Value: Leveraging AI to Enhance Spoken Online Reviews on the Go

Niels van Berkel, Chi-Lan Yang, Dániel Szabó, Aku Visuri, Simo Johannes Hosio, Koji Yatani, Kavindu Ravishan
article en

Abstract

Online reviews help people make better decisions. Review platforms usually depend on typed input, where leaving a good review requires significant effort because users must carefully organize and articulate their thoughts. This may discourage users from leaving comprehensive and high-quality reviews, especially when they are on the go. To address this challenge, we developed Vocalizer, a mobile application that enables users to provide reviews through voice input, with enhancements from a large language model (LLM). In a longitudinal study, we analysed user interactions with the app, focusing on AI-driven features that help refine and improve reviews. Our findings show that users frequently utilized the AI agent to add more detailed information to their reviews. We also show how interactive AI features can improve users self-efficacy and willingness to share reviews online. Finally, we discuss the opportunities and challenges of integrating AI assistance into review-writing systems.

The University of Tokyo (JP), Aalborg University (DK), University of Oulu (FI)
Japan Society for the Promotion of Science, Strategic Research Council
Openalex Percentile: Top 80%
Sentiment Analysis and Opinion Mining
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From Voice to Value: Leveraging AI to Enhance Spoken Online Reviews on the Go — Niels van Berkel, Chi-Lan Yang, et al. · (2024) | TGRS Research Map | TGRS