Gaze Scan-Path Similarity in Mobile Eye Tracking
Wann
Montag, 25. November 2024
16 bis 18 Uhr
Wo
ZT 702 (transmitted from LMU Munich)
Veranstaltet von
SFB-TRR 161
Vortragende Person/Vortragende Personen:
Dr. Bahador Bahrami
Diese Veranstaltung ist Teil der Veranstaltungsreihe „SFB-TRR 161 Lecture Series“.
Abstract:
Eye-tracking research, which often captures and analyses the trajectory of an observer’s gaze (commonly known as the scanpath) is crucial for understanding the dynamics of visual attention. While scanpath analysis typically relies on high-resolution data collected in controlled lab settings, it faces challenges in real-world applications with more contemporary wearable devices, where data are often noisy and resolution and precision are traded off for felxibility. I will present one of our recent projects focusing on the application of spatio-temporal scanpath similarity metrics as a measure of gaze pattern similarity, with a primary focus on dynamic time warping (DTW) algorithm.
Bio:
Bahador is from Tehran, Iran. He got his MD from Tehran University of Medical Sciences in 2003 and then moved to London to do a PhD in cognitive neuroscience of consciousness in the human brain which he finished in 2008. Since then he has worked in Aarhus, Denmark (2008-10) and London (2010-2017) where he founded the Crowd Cognition research lab. In 2018 he moved his lab to Ludwig Maximilian Universität in Munich Germany. Over the past decade, his lab has been supported by two European Council Research grants (starting grant 2013-2018 and consolidator grant 2019-ongoing). Bahador's reasearch focuses on the cognitive and neurobiological basis of interactive decision making between human-human and more recently, human-AI agents.