@article{SchartmuellerWeiglLoeckenetal.2021, author = {Schartm{\"u}ller, Clemens and Weigl, Klemens and L{\"o}cken, Andreas and Wintersberger, Philipp and Steinhauser, Marco and Riener, Andreas}, title = {Displays for Productive Non-Driving Related Tasks: Visual Behavior and Its Impact in Conditionally Automated Driving}, volume = {5}, pages = {21}, journal = {Multimodal Technologies and Interaction}, number = {4}, publisher = {MDPI}, address = {Basel}, issn = {2414-4088}, doi = {https://doi.org/10.3390/mti5040021}, year = {2021}, abstract = {(1) Background: Primary driving tasks are increasingly being handled by vehicle automation so that support for non-driving related tasks (NDRTs) is becoming more and more important. In SAE L3 automation, vehicles can require the driver-passenger to take over driving controls, though. Interfaces for NDRTs must therefore guarantee safe operation and should also support productive work. (2) Method: We conducted a within-subjects driving simulator study (N=53) comparing Heads-Up Displays (HUDs) and Auditory Speech Displays (ASDs) for productive NDRT engagement. In this article, we assess the NDRT displays' effectiveness by evaluating eye-tracking measures and setting them into relation to workload measures, self-ratings, and NDRT/take-over performance. (3) Results: Our data highlights substantially higher gaze dispersion but more extensive glances on the road center in the auditory condition than the HUD condition during automated driving. We further observed potentially safety-critical glance deviations from the road during take-overs after a HUD was used. These differences are reflected in self-ratings, workload indicators and take-over reaction times, but not in driving performance. (4) Conclusion: NDRT interfaces can influence visual attention even beyond their usage during automated driving. In particular, the HUD has resulted in safety-critical glances during manual driving after take-overs. We found this impacted workload and productivity but not driving performance}, language = {en} } @article{WeiglSchartmuellerRieneretal.2021, author = {Weigl, Klemens and Schartm{\"u}ller, Clemens and Riener, Andreas and Steinhauser, Marco}, title = {Development of the Questionnaire on the Acceptance of Automated Driving (QAAD): Data-driven models for Level 3 and Level 5 automated driving}, volume = {2021}, journal = {Transportation Research Part F: Traffic Psychology and Behaviour}, number = {83}, publisher = {Elsevier}, address = {Amsterdam}, issn = {1369-8478}, doi = {https://doi.org/10.1016/j.trf.2021.09.011}, pages = {42 -- 59}, year = {2021}, language = {en} } @inproceedings{SchartmuellerWeiglWintersbergeretal.2019, author = {Schartm{\"u}ller, Clemens and Weigl, Klemens and Wintersberger, Philipp and Riener, Andreas and Steinhauser, Marco}, title = {Text comprehension: heads-up vs. auditory displays: implications for a productive work environment in SAE level 3 automated vehicles}, booktitle = {Proceedings: 11th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications}, publisher = {ACM}, address = {New York}, isbn = {978-1-4503-6884-1}, doi = {https://doi.org/10.1145/3342197.3344547}, pages = {342 -- 354}, year = {2019}, language = {en} } @article{WeiglSchartmuellerWintersbergeretal.2021, author = {Weigl, Klemens and Schartm{\"u}ller, Clemens and Wintersberger, Philipp and Steinhauser, Marco and Riener, Andreas}, title = {The influence of experienced severe road traffic accidents on take-over reactions and non-driving-related tasks in an automated driving simulator study}, volume = {2021}, pages = {106408}, journal = {Accident Analysis \& Prevention}, number = {162}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0001-4575}, doi = {https://doi.org/10.1016/j.aap.2021.106408}, year = {2021}, language = {en} } @inproceedings{WischertZielkeWeiglSteinhauseretal.2020, author = {Wischert-Zielke, Moritz and Weigl, Klemens and Steinhauser, Marco and Riener, Andreas}, title = {Age differences in the anticipated acceptance of egoistic versus altruistic crash-control-algorithms in automated vehicles}, booktitle = {Tagungsband: Mensch \& Computer 2020}, editor = {Alt, Florian and Schneegass, Stefan and Hornecker, Eva}, publisher = {ACM}, address = {New York}, isbn = {978-1-4503-7540-5}, doi = {https://doi.org/10.1145/3404983.3409992}, pages = {467 -- 471}, year = {2020}, language = {en} } @article{WeiglSteinhauserRiener2022, author = {Weigl, Klemens and Steinhauser, Marco and Riener, Andreas}, title = {Gender and age differences in the anticipated acceptance of automated vehicles: insights from a questionnaire study and potential for application}, volume = {27}, journal = {Gender, Technology and Development}, number = {1}, publisher = {Routledge}, address = {London}, issn = {0973-0656}, doi = {https://doi.org/10.1080/09718524.2022.2137893}, pages = {88 -- 108}, year = {2022}, language = {en} }