Modeling Software Quality in Virtual Reality Applications from User Feedback

[2308.06783] Modeling Software Quality in Virtual Reality Applications from User Feedback Skip to main content Search Submit Donate Log in Computer Science > Software Engineering arXiv:2308.06783 (cs) [Submitted on 13 Aug 2023 ( v1 ), last revised 25 Aug 2026 (this version, v2)] Title: Modeling Software Quality in Virtual Reality Applications from User Feedback Authors: Shuqing Li , Chenran Zhang , Yepang Liu , Cuiyun Gao , Shing-Chi Cheung , Michael R. Lyu View PDF HTML (experimental) Abstract: Virtual Reality (VR) applications couple software behavior with head-mounted displays, body movement, spatial interaction, and multimodal feedback. Consequently, familiar software-quality problems can have distinct consequences in VR, yet empirical knowledge of the quality concerns expressed by VR users remains fragmented. We analyze 1,656,968 public reviews of 28,745 VR applications across seven app stores. Our semiautomatic workflow uses five unsupervised methods to generate candidate aspects and multi-round human open and focused coding to construct and refine a hierarchical model of user-perceived VR software quality. The resulting model comprises 12 quality attributes and ten influencing factors. It distinguishes conventional attributes whose consequences change in VR from attributes closely tied to VR, including multisensory perception, user-friendly interaction mechanisms, immersivity, and comfort and safety. The influencing factors connect perceived quality problems to movement, control, tracking, multimedia, physics, configuration, and content decisions. Supplementary analyses examine temporal variation, platform and genre composition, accessibility-related reviews, and developer update logs. These descriptive analyses show that the concerns surfaced by reviews depend on context and identify concrete priorities for VR quality assurance. We release the available datasets, taxonomy materials, and analysis results to support replication and follow-up research: [ this https URL ]( this https URL ). Subjects: Software Engineering (cs.SE) ; Human-Computer Interaction (cs.HC) ACM classes: D.2.9; H.5.1 Cite as: arXiv:2308.06783 [cs.SE] (or arXiv:2308.06783v2 [cs.SE] for this version) https://doi.org/10.48550/arXiv.2308.06783 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Shuqing Li [ view email ] [v1] Sun, 13 Aug 2023 14:42:47 UTC (378 KB) [v2] Tue, 25 Aug 2026 02:24:38 UTC (5,835 KB) Full-text links: Access Paper: View PDF HTML (experimental) TeX Source view license Additional Features Audio Summary Current browse context: cs.SE < prev | next > new | recent | 2023-08 Change to browse by: cs cs.HC References & Citations SciX Google Scholar Semantic Scholar export BibTeX citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab)

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