GazeIntent: Adapting Dwell-time Selection in VR Interaction with Real-time Intent Modeling
| dc.contributor.author | Narkar, Anish | en |
| dc.contributor.author | Michalak, Jan | en |
| dc.contributor.author | Peacock, Candace | en |
| dc.contributor.author | David-John, Brendan | en |
| dc.date.accessioned | 2024-06-04T18:47:25Z | en |
| dc.date.available | 2024-06-04T18:47:25Z | en |
| dc.date.issued | 2024-05-28 | en |
| dc.date.updated | 2024-06-01T08:00:36Z | en |
| dc.description.abstract | The use of ML models to predict a user’s cognitive state from behavioral data has been studied for various applications which includes predicting the intent to perform selections in VR.We developed a novel technique that uses gaze-based intent models to adapt dwell-time thresholds to aid gaze-only selection. A dataset of users performing selection in arithmetic tasks was used to develop intent prediction models (F1 = 0.94).We developed GazeIntent to adapt selection dwell times based on intent model outputs and conducted an end-user study with returning and new users performing additional tasks with varied selection frequencies. Personalized models for returning users effectively accounted for prior experience and were preferred by 63% of users. Our work provides the field with methods to adapt dwell-based selection to users, account for experience over time, and consider tasks that vary by selection frequency. | en |
| dc.description.version | Published version | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.doi | https://doi.org/10.1145/3655600 | en |
| dc.identifier.uri | https://hdl.handle.net/10919/119255 | 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 | GazeIntent: Adapting Dwell-time Selection in VR Interaction with Real-time Intent Modeling | en |
| dc.type | Article - Refereed | en |
| dc.type.dcmitype | Text | en |