%0 Book Section %1 Koch2023 %A Koch, Maurice %A Kurzhals, Kuno %A Burch, Michael %A Weiskopf, Daniel %B Visualization Psychology %C Cham %D 2023 %E Albers Szafir, Danielle %E Borgo, Rita %E Chen, Min %E Edwards, Darren J. %E Fisher, Brian %E Padilla, Lace %I Springer International Publishing %K peer rp28 %P 243--260 %R 10.1007/978-3-031-34738-2_10 %T Visualization Psychology for Eye Tracking Evaluation %U https://doi.org/10.1007/978-3-031-34738-2_10 %X Technical progress in hardware and software enables us to record gaze data in everyday situations and over long time spans. Among a multitude of research opportunities, this technology enables visualization researchers to catch a glimpse behind performance measures and into the perceptual and cognitive processes of people using visualization techniques. The majority of eye tracking studies performed for visualization research are limited to the analysis of gaze distributions and aggregated statistics, thus only covering a small portion of insights that can be derived from gaze data. We argue that incorporating theories and methodology from psychology and cognitive science will benefit the design and evaluation of eye tracking experiments for visualization. This book chapter provides an overview of how eye tracking can be used in a variety of study designs. Furthermore, we discuss the potential merits of cognitive models for the evaluation of visualizations. We exemplify these concepts on two scenarios, each focusing on a different eye tracking study. Lastly, we identify several call for actions. %@ 978-3-031-34738-2

@inbook{Koch2023, abstract = {Technical progress in hardware and software enables us to record gaze data in everyday situations and over long time spans. Among a multitude of research opportunities, this technology enables visualization researchers to catch a glimpse behind performance measures and into the perceptual and cognitive processes of people using visualization techniques. The majority of eye tracking studies performed for visualization research are limited to the analysis of gaze distributions and aggregated statistics, thus only covering a small portion of insights that can be derived from gaze data. We argue that incorporating theories and methodology from psychology and cognitive science will benefit the design and evaluation of eye tracking experiments for visualization. This book chapter provides an overview of how eye tracking can be used in a variety of study designs. Furthermore, we discuss the potential merits of cognitive models for the evaluation of visualizations. We exemplify these concepts on two scenarios, each focusing on a different eye tracking study. Lastly, we identify several call for actions.}, added-at = {2023-12-19T09:28:46.000+0100}, address = {Cham}, author = {Koch, Maurice and Kurzhals, Kuno and Burch, Michael and Weiskopf, Daniel}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2e494c9c9c174d56f13500e4376acd3ec/intcdc}, booktitle = {Visualization Psychology}, doi = {10.1007/978-3-031-34738-2_10}, editor = {Albers Szafir, Danielle and Borgo, Rita and Chen, Min and Edwards, Darren J. and Fisher, Brian and Padilla, Lace}, interhash = {4440f28dc616781b9a2b6c5d8972fe91}, intrahash = {e494c9c9c174d56f13500e4376acd3ec}, isbn = {978-3-031-34738-2}, keywords = {peer rp28}, pages = {243--260}, publisher = {Springer International Publishing}, timestamp = {2024-03-14T17:10:03.000+0100}, title = {Visualization Psychology for Eye Tracking Evaluation}, url = {https://doi.org/10.1007/978-3-031-34738-2_10}, year = 2023 }