Auto-Generating Personas from User Reviews in VR App Stores
Yi Wang, Kexin Cheng, Xiao Liu, Chetan Arora, John Grundy, Thuong Hoang, Henry Been-Lirn Duh

TL;DR
This paper presents an automated system for generating personas from user reviews in VR app stores, aiming to improve accessibility discussions and requirements elicitation in VR design education.
Contribution
It introduces a novel auto-generated persona system specifically designed for VR courses to facilitate accessibility-focused discussions and design improvements.
Findings
Enabled students to develop empathy more efficiently.
Facilitated elicitation of latent accessibility requirements.
Demonstrated effectiveness in VR course settings.
Abstract
Personas are a valuable tool for discussing accessibility requirements in software design and development practices. However, the use of personas for accessibility-focused requirements elicitation in VR projects remains limited and is accompanied by several challenges. To fill this gap, we developed an auto-generated persona system in a VR course, where the personas were used to facilitate discussions on accessibility requirements and to guide VR design and development. Our findings indicate that the auto-generated persona system enabled students to develop empathy more efficiently. This study demonstrates the use of automatically generated personas in VR course settings as a means of eliciting latent accessibility requirements.
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Taxonomy
TopicsPersona Design and Applications · Innovative Human-Technology Interaction · Technology Use by Older Adults
