Managing level of detail through head-tracked peripheral degradation: a model and resulting design principles
June 26, 2025 Β· Declared Dead Β· π Virtual Reality Software and Technology
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Benjamin Watson, Neff Walker, Larry F Hodges
arXiv ID
2506.21456
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.GR
Citations
20
Venue
Virtual Reality Software and Technology
Last Checked
4 months ago
Abstract
Previous work has demonstrated the utility of reductions in the level of detail (LOD) in the periphery of head-tracked, large field of view displays. This paper provides a psychophysically based model, centered around an eye/head movement tradeoff, that explains the effectiveness of peripheral degradation and suggests how peripherally degraded displays should be designed. An experiment evaluating the effect on search performance of the shape and area of the high detail central area (inset) in peripherally degraded displays was performed, results indicated that inset shape is not a significant factor in performance. Inset area, however, was significant: performance with displays subtending at least 30 degrees of horizontal and vertical angle was not significantly different from performance with an undegraded display. These results agreed with the proposed model.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Human-Computer Interaction
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Improving fairness in machine learning systems: What do industry practitioners need?
R.I.P.
π»
Ghosted
Identifying Stable Patterns over Time for Emotion Recognition from EEG
R.I.P.
π»
Ghosted
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
R.I.P.
π»
Ghosted
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
R.I.P.
π»
Ghosted
Educational data mining and learning analytics: An updated survey
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted