Title
Dr.
Last Name
Bektas
First name
Kenan
Email
kenan.bektas@unisg.ch
ORCID
Phone
+41 71 224 27 63
Google Scholar
1 - 5 of 5
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PublicationNeighboAR: Efficient Object Retrieval using Proximity-and Gaze-based Object Grouping with an AR SystemHumans only recognize a few items in a scene at once and memorize three to seven items in the short term. Such limitations can be mitigated using cognitive offloading (e.g., sticky notes, digital reminders). We studied whether a gaze-enabled Augmented Reality (AR) system could facilitate cognitive offloading and improve object retrieval performance. To this end, we developed NeighboAR, which detects objects in a user's surroundings and generates a graph that stores object proximity relationships and user's gaze dwell times for each object. In a controlled experiment, we asked N=17 participants to inspect randomly distributed objects and later recall the position of a given target object. Our results show that displaying the target together with the proximity object with the longest user gaze dwell time helps recalling the position of the target. Specifically, NeighboAR significantly reduces the retrieval time by 33%, number of errors by 71%, and perceived workload by 10%.Type:Journal:Volume:Issue:
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PublicationGEAR: Gaze-enabled augmented reality for human activity recognition(ACM, 2023-05-30)
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PublicationEToS-1: Eye Tracking on Shopfloors for User Engagement with Automation(CEUR Workshop Proceedings, 2022-04-30)
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PublicationGlassBoARd: A Gaze-Enabled AR Interface for Collaborative WorkRecent research on remote collaboration focuses on improving the sense of co-presence and mutual understanding among the collaborators, whereas there is limited research on using non-verbal cues such as gaze or head direction alongside their main communication channel. Our system – GlassBoARd – permits collaborators to see each other’s gaze behavior and even make eye contact while communicating verbally and in writing. GlassBoARd features a transparent shared Augmented Reality interface that is situated in-between two users, allowing face-to-face collaboration. From the perspective of each user, the remote collaborator is represented as an avatar that is located behind the GlassBoARd and whose eye movements are contingent on the remote collaborator’s instant eye movements. In three iterations, we improved the design of GlassBoARd and tested it with two use cases. Our preliminary evaluations showed that GlassBoARd facilitates an environment for conducting future user experiments to study the effect of sharing eye gaze on the communication bandwidth.
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PublicationPupillometry for Measuring User Response to Movement of an Industrial Robot( 2023-05-30)