Goldilocks Zoning: Evaluating a Gaze-Aware Approach to Task-Agnostic VR Notification Placement
| dc.contributor.author | Ilo, Cory | en |
| dc.contributor.author | DiVerdi, Stephen | en |
| dc.contributor.author | Bowman, Douglas A. | en |
| dc.date.accessioned | 2024-11-04T14:13:43Z | en |
| dc.date.available | 2024-11-04T14:13:43Z | en |
| dc.date.issued | 2024-10-07 | en |
| dc.date.updated | 2024-11-01T07:56:36Z | en |
| dc.description.abstract | While virtual reality (VR) offers immersive experiences, users need to remain aware of notifications from outside VR. However, inserting notifications into a VR experience can result in distraction or breaks in presence, since existing notification systems in VR use static placement and lack situational awareness. We address this challenge by introducing a novel notification placement technique, Goldilocks Zoning (GZ), which leverages a 360-degree heatmap generated using gaze data to place notifications near salient areas of the environment without obstructing the primary task. To investigate the effectiveness of this technique, we conducted a dualtask experiment comparing GZ to common notification placement techniques. We found that GZ had similar performance to state-ofthe- art techniques in a variety of primary task scenarios. Our study reveals that no single technique is universally optimal in dynamic settings, underscoring the potential for adaptive approaches to notification management. As a step in this direction, we explored the potential to use machine learning to predict the task based on the gaze heatmap. | en |
| dc.description.version | Published version | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.doi | https://doi.org/10.1145/3677386.3682087 | en |
| dc.identifier.uri | https://hdl.handle.net/10919/121533 | en |
| dc.language.iso | en | en |
| dc.publisher | ACM | en |
| dc.rights | Creative Commons Attribution 4.0 International | en |
| dc.rights.holder | The author(s) | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en |
| dc.title | Goldilocks Zoning: Evaluating a Gaze-Aware Approach to Task-Agnostic VR Notification Placement | en |
| dc.type | Article - Refereed | en |
| dc.type.dcmitype | Text | en |