From Voice to Value: Leveraging AI to Enhance Spoken Online Reviews on the Go
This addresses the challenge of encouraging comprehensive reviews for mobile users, though it is incremental as it applies existing AI methods to a specific domain.
The paper tackled the problem of low-quality typed online reviews by developing Vocalizer, a mobile app that uses voice input and LLM enhancements to help users create better reviews, finding that AI features increased detail and user willingness to share.
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.