TY - CONF TI - Exploring Eye-Tracking Data for Detection of Mind-Wandering on Web Tasks AU - Gwizdka, Jacek T2 - NeuroIS 2018 A2 - Davis, Fred D. A2 - Riedl, René A2 - vom Brocke, Jan A2 - Léger, Pierre-Majorique A2 - Randolph, Adriane B. T3 - Lecture Notes in Information Systems and Organisation AB - Mind-wandering (MW) is a phenomenon that affects most of us; it affects our interactions with information systems. Yet the literature on its effects on human-computer interaction is only scant. This research aims to contribute to establishing eye-tracking measures that could be used to detect periods of MW while a user is engaged in interaction with online information. We conducted a lab study (N = 30) and present an exploratory analysis of eye-tracking data with a focus on finding differences between periods of MW and not-MW. We found 12 eye tracking measures that were significantly different between periods of MW and not-MW. We also show promising classification results of the same variables. Our results indicate plausibility of using eye-tracking data to infer periods of MW. C3 - Information Systems and Neuroscience DA - 2019/// PY - 2019 DO - 10.1007/978-3-030-01087-4_6 DP - Springer Link SP - 47 EP - 55 LA - en PB - Springer International Publishing SN - 978-3-030-01087-4 KW - Eye-tracking KW - MW_project KW - Mind-wandering KW - Mindless reading KW - Pupillometry KW - mypub KW - z_IX_lab ER -