Eyes on the Mission: Mixed Methods Assessment of Eye-Tracker-Enabled Interactive Decision Support in a Simulated Unmanned Aerial Vehicle System
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866908788585398272 |
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| author | Jei, Hyun-Gee Demir, Mustafa Sasangohar, Farzan |
| author_facet | Jei, Hyun-Gee Demir, Mustafa Sasangohar, Farzan |
| contents | Supervisors in military command and control (C2) environments face dynamic conditions. Dynamically changing information continuously flows to the supervisors through multiple displays. In this environment, important pieces of information can be overlooked due to the complexity of tasks and environments. This study examined the efficacy of an eye-tracker-based adaptive attention-guided decision support tool (DST) for supervisors in a simulated C2 environment. The DST monitors supervisors' visual attention allocation in real time and displays visually salient cues if critical changes or events are missed. Twenty-five military students participated in a simulated intelligence task. Results indicated significant performance enhancement when the adaptive DST was present. Eye-tracking analysis also showed that longer, more frequent fixations on critical areas of interest were negatively correlated with performance. Additionally, post-experiment interviews revealed that the adaptive DST was unobtrusive and positively received. These findings underscore the potential of real-time gaze-based interventions to optimize supervisory decision-making. Future research could incorporate AI-driven approaches to better support supervisors in complex task environments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_18015 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Eyes on the Mission: Mixed Methods Assessment of Eye-Tracker-Enabled Interactive Decision Support in a Simulated Unmanned Aerial Vehicle System Jei, Hyun-Gee Demir, Mustafa Sasangohar, Farzan Emerging Technologies Computational Complexity Human-Computer Interaction Multiagent Systems Supervisors in military command and control (C2) environments face dynamic conditions. Dynamically changing information continuously flows to the supervisors through multiple displays. In this environment, important pieces of information can be overlooked due to the complexity of tasks and environments. This study examined the efficacy of an eye-tracker-based adaptive attention-guided decision support tool (DST) for supervisors in a simulated C2 environment. The DST monitors supervisors' visual attention allocation in real time and displays visually salient cues if critical changes or events are missed. Twenty-five military students participated in a simulated intelligence task. Results indicated significant performance enhancement when the adaptive DST was present. Eye-tracking analysis also showed that longer, more frequent fixations on critical areas of interest were negatively correlated with performance. Additionally, post-experiment interviews revealed that the adaptive DST was unobtrusive and positively received. These findings underscore the potential of real-time gaze-based interventions to optimize supervisory decision-making. Future research could incorporate AI-driven approaches to better support supervisors in complex task environments. |
| title | Eyes on the Mission: Mixed Methods Assessment of Eye-Tracker-Enabled Interactive Decision Support in a Simulated Unmanned Aerial Vehicle System |
| topic | Emerging Technologies Computational Complexity Human-Computer Interaction Multiagent Systems |
| url | https://arxiv.org/abs/2601.18015 |