Mind wandering (MW) is defined as a shift of attention to task-unrelated internal thoughts that is pervasive and disruptive for learning performance. Current state-of-the-art gaze-based attention-aware intelligent systems are capable of detecting MW from eye movements and delivering interventions to mitigate its negative effects. However, the beneficial functions of MW and its trait-level tendency, defined as the content of MW experience, are still largely neglected by these systems. In this pilot study, we address the questions of whether different MW trait-level tendencies can be detected through off-screen fixations’ frequency and duration and blink rate during a lecture viewing task. We focus on prospective planning and creative problem-solving as two of the main MW trait-level tendencies. Despite the non-significance, the descriptive values show a higher frequency and duration of off-screen fixations, but lower blink rate, in the creative problem-solving MW condition. Interestingly, we do find a highly significant correlation between MW level and engagement scores in the prospective planning MW group. Potential explanations for the observed results are discussed. Overall, these findings represent a preliminary step towards the development of more accurate and adaptive learning technologies, and call for further studies on MW trait-level tendency detection.
%0 Conference Paper
%1 zermiani2022wandering
%A Zermiani, Francesca
%A Bulling, Andreas
%A Wirzberger, Maria
%B 2022 Symposium on Eye Tracking Research and Applications (ETRA '22), June 8–11, 2022, Seattle, WA, USA
%C New York, NY, USA
%D 2022
%I ACM
%K attention cognition instruction learning mind-wandering myown video
%R https://doi.org/10.1145/3517031.3529241
%T Mind wandering trait-level tendencies during lecture viewing: A pilot study
%U https://camps.aptaracorp.com/ACM_PMS/PMS/ACM/ETRA22/12/3756a261-b991-11ec-9f8a-16db2db7c9b5/OUT/etra22-12.html
%X Mind wandering (MW) is defined as a shift of attention to task-unrelated internal thoughts that is pervasive and disruptive for learning performance. Current state-of-the-art gaze-based attention-aware intelligent systems are capable of detecting MW from eye movements and delivering interventions to mitigate its negative effects. However, the beneficial functions of MW and its trait-level tendency, defined as the content of MW experience, are still largely neglected by these systems. In this pilot study, we address the questions of whether different MW trait-level tendencies can be detected through off-screen fixations’ frequency and duration and blink rate during a lecture viewing task. We focus on prospective planning and creative problem-solving as two of the main MW trait-level tendencies. Despite the non-significance, the descriptive values show a higher frequency and duration of off-screen fixations, but lower blink rate, in the creative problem-solving MW condition. Interestingly, we do find a highly significant correlation between MW level and engagement scores in the prospective planning MW group. Potential explanations for the observed results are discussed. Overall, these findings represent a preliminary step towards the development of more accurate and adaptive learning technologies, and call for further studies on MW trait-level tendency detection.
@inproceedings{zermiani2022wandering,
abstract = {Mind wandering (MW) is defined as a shift of attention to task-unrelated internal thoughts that is pervasive and disruptive for learning performance. Current state-of-the-art gaze-based attention-aware intelligent systems are capable of detecting MW from eye movements and delivering interventions to mitigate its negative effects. However, the beneficial functions of MW and its trait-level tendency, defined as the content of MW experience, are still largely neglected by these systems. In this pilot study, we address the questions of whether different MW trait-level tendencies can be detected through off-screen fixations’ frequency and duration and blink rate during a lecture viewing task. We focus on prospective planning and creative problem-solving as two of the main MW trait-level tendencies. Despite the non-significance, the descriptive values show a higher frequency and duration of off-screen fixations, but lower blink rate, in the creative problem-solving MW condition. Interestingly, we do find a highly significant correlation between MW level and engagement scores in the prospective planning MW group. Potential explanations for the observed results are discussed. Overall, these findings represent a preliminary step towards the development of more accurate and adaptive learning technologies, and call for further studies on MW trait-level tendency detection.},
added-at = {2022-04-14T07:10:54.000+0200},
address = {New York, NY, USA},
author = {Zermiani, Francesca and Bulling, Andreas and Wirzberger, Maria},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2e36b4e8e15fde2a2cd5880a2c346dc45/mariawirzberger},
booktitle = {2022 Symposium on Eye Tracking Research and Applications (ETRA '22), June 8–11, 2022, Seattle, WA, USA},
doi = {https://doi.org/10.1145/3517031.3529241},
interhash = {f68fd5dc59da2486b709bbe6c5a434d8},
intrahash = {e36b4e8e15fde2a2cd5880a2c346dc45},
keywords = {attention cognition instruction learning mind-wandering myown video},
publisher = {ACM},
timestamp = {2023-10-31T09:23:49.000+0100},
title = {Mind wandering trait-level tendencies during lecture viewing: A pilot study},
url = {https://camps.aptaracorp.com/ACM_PMS/PMS/ACM/ETRA22/12/3756a261-b991-11ec-9f8a-16db2db7c9b5/OUT/etra22-12.html},
year = 2022
}
