Mental Models of Gestural Interaction for Information Processing in Virtual Reality

Virtual reality (VR) provides an immersive medium for information processing. Gestures offer a natural and intuitive means of translating cognitive processes into physical actions, making them a promising interaction method to support information processing in VR. However, how gestures reflect and map abstract cognitive tasks to physical interactions remains underexplored. To address this gap, this study explored the mental models by which end-users design gestural interactions to support information processing in VR. Using a gesture elicitation method, 8 participants created 445 gestures representing 19 cognitive processes in Bloom’s taxonomy. Five categories of mental models were identified: linguistic-symbolic, spatial-manipulative, metaphoric, social-conventional, and traditional graphical user interface-derived. Furthermore, the study found that the cognitive process categories affected the mental model adoption, with higher-order cognitive processes prompting more human-like interaction. These findings suggest the potential for developing more natural interactions for cognitive tasks and offer guidance for designing gestural interactions in VR.

Authors

Institutions

Publication Details

Journal
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Published
2025-07-16
DOI
https://doi.org/10.1177/10711813251357931
Primary Topic
Virtual Reality Applications and Impacts
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mental Models of Gestural Interaction for Information Processing in Virtual Reality

Emily Fang, Fangyuan Cheng, Karen Chen
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Virtual Reality Applications and Impacts
article

Mental Models of Gestural Interaction for Information Processing in Virtual Reality

Emily Fang, Fangyuan Cheng, Karen Chen
article en

Abstract

Virtual reality (VR) provides an immersive medium for information processing. Gestures offer a natural and intuitive means of translating cognitive processes into physical actions, making them a promising interaction method to support information processing in VR. However, how gestures reflect and map abstract cognitive tasks to physical interactions remains underexplored. To address this gap, this study explored the mental models by which end-users design gestural interactions to support information processing in VR. Using a gesture elicitation method, 8 participants created 445 gestures representing 19 cognitive processes in Bloom’s taxonomy. Five categories of mental models were identified: linguistic-symbolic, spatial-manipulative, metaphoric, social-conventional, and traditional graphical user interface-derived. Furthermore, the study found that the cognitive process categories affected the mental model adoption, with higher-order cognitive processes prompting more human-like interaction. These findings suggest the potential for developing more natural interactions for cognitive tasks and offer guidance for designing gestural interactions in VR.

Proceedings of the Human Factors and Ergonomics Society Annual MeetingVol. 69(1)
North Carolina State University (US)
Openalex Percentile: Top 83%
Virtual Reality Applications and Impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.