Citation

Perumal, Vimala and Shah, Zeeshan Jawed (2026) AI-Powered Procedural Haptics for Narrative VR: A Systematic Literature Review. Multimodal Technologies and Interaction, 10 (1). p. 9. ISSN 2414-4088

Text mti-10-00009.pdf - Published Version Restricted to Repository staff only Download (1MB)

Abstract

Haptic feedback is important for narrative virtual reality (VR), yet authoring remains costly and difficult to scale due to device-specific tuning, placement constraints, and the need for semantically congruent timing. We systematically reviewed user studies on haptics in narrative VR to establish an empirical baseline and identify gaps for AI-powered procedural haptics. Following PRISMA 2020, we searched IEEE Xplore, ACM Digital Library, Scopus, Web of Science, PubMed, and PsycINFO (English; human participants; haptics synchronized to narrative events) and performed backward/forward citation chasing (final search: 31 July 2025). We also conducted a parallel scoping scan of grey literature (arXiv and CHI/SIGGRAPH workshops/demos), finalized on 7 September 2025; these records are summarized separately and were not included in the evidence synthesis. Of 493 records screened, 26 full texts were assessed, and 10 studies were included. Quantitatively, presence improved in 6/8 studies that measured it and immersion improved in 3/3; sample sizes ranged 8–108. Across varied modalities and placements, haptics improved presence and immersion and often enhanced affect; validated measures of narrative comprehension were rare. None of the included studies evaluated AI-generated procedural haptics in user studies. We conclude by proposing a structured, three-phase research roadmap designed to bridge this critical gap, moving the field from theoretical promise to the empirical validation of intelligent systems capable of making rich, adaptive, and scalable haptic narratives a reality.

Item Type:	Article
Uncontrolled Keywords:	virtual reality, haptics, procedural generation, artificial intelligence, storytelling, user experience, immersion
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD28-70 Management. Industrial Management > HD30.2 Electronic data processing. Information technology. Including artificial intelligence and knowledge management
Divisions:	Faculty of Creative Multimedia (FCM)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	09 Feb 2026 07:22
Last Modified:	09 Feb 2026 07:22
URII:	http://shdl.mmu.edu.my/id/eprint/15244

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