A Real-Time Error Prevention System for Gaze-Based Interaction in Virtual Reality Based on Anomaly Detection
Fuente:
arXiv
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866915744444317696 |
|---|---|
| author | Severitt, Björn R. Sauer, Yannick Castner, Nora Wahl, Siegfried |
| author_facet | Severitt, Björn R. Sauer, Yannick Castner, Nora Wahl, Siegfried |
| contents | Gaze-based interaction enables intuitive, hands-free control in immersive environments, but remains susceptible to unintended inputs. We present a real-time error prevention system (EPS) that uses a temporal convolutional network autoencoder (TCNAE) to detect anomalies in gaze dynamics during selection tasks. In a visual search task in VR, 41 participants used three gaze-based methods - dwell time, gaze and head direction alignment, and nod - with and without EPS. The system reduced erroneous selections by up to 95% for dwell time and gaze and head, and was positively received by most users. Performance varied for nodding and between individuals, suggesting the need for adaptive systems. Objective metrics and subjective evaluations show that anomaly-based error prevention can improve gaze interfaces without disrupting interaction. These findings demonstrate the potential of anomaly-based error prevention for gaze interfaces and suggest applications in VR, AR, and assistive technologies. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_15146 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | A Real-Time Error Prevention System for Gaze-Based Interaction in Virtual Reality Based on Anomaly Detection Severitt, Björn R. Sauer, Yannick Castner, Nora Wahl, Siegfried Human-Computer Interaction Gaze-based interaction enables intuitive, hands-free control in immersive environments, but remains susceptible to unintended inputs. We present a real-time error prevention system (EPS) that uses a temporal convolutional network autoencoder (TCNAE) to detect anomalies in gaze dynamics during selection tasks. In a visual search task in VR, 41 participants used three gaze-based methods - dwell time, gaze and head direction alignment, and nod - with and without EPS. The system reduced erroneous selections by up to 95% for dwell time and gaze and head, and was positively received by most users. Performance varied for nodding and between individuals, suggesting the need for adaptive systems. Objective metrics and subjective evaluations show that anomaly-based error prevention can improve gaze interfaces without disrupting interaction. These findings demonstrate the potential of anomaly-based error prevention for gaze interfaces and suggest applications in VR, AR, and assistive technologies. |
| title | A Real-Time Error Prevention System for Gaze-Based Interaction in Virtual Reality Based on Anomaly Detection |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2601.15146 |