Nabil Al Nahin Ch

dblp:302/0525 · DBLP profile ↗
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4ranked-venue papers
3as first author
4since 2021 · last 2026
0000-0002-0202-1724ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 4 · 3 first-author · 4 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021
YearPublicationVenuePosition
2026 Integrating Educator-Designed AI Tools in Classrooms: Teachers' Practices, Perceptions, and Concerns
Nabil Al Nahin Ch, Aaron Y. Wong, Betsy Corcoran, Hilah Barbot, Yusuf Ahmad, Caitlin Mills 0001
AIED1
2024 Text a Bit Longer or Drive Now? Resuming Driving after Texting in Conditionally Automated Cars
abstract
In this study, we focus on different strategies drivers use in terms of interleaving between driving and non-driving related tasks (NDRT) while taking back control from automated driving. We conducted two driving simulator experiments to examine how different cognitive demands of texting, priorities, and takeover time budgets affect drivers’ takeover strategies. We also evaluated how different takeover strategies affect takeover performance. We found that the choice of takeover strategy was influenced by the priority and takeover time budget but not by the cognitive demand of the NDRT. The takeover strategy did not have any effect on takeover quality or NDRT engagement but influenced takeover timing.
Nabil Al Nahin Ch, Jared Fortier, Christian P. Janssen, Orit Shaer, Caitlin Mills 0001, Andrew L. Kun
AutomotiveUI1
2023 Virtual nature experiences and mindfulness practices while working from home during COVID-19: Effects on stress, focus, and creativity
Nabil Al Nahin Ch, Alberta Ansah, Atefeh Katrahmani, Julia Burmeister, Andrew L. Kun, Caitlin Mills 0001, Orit Shaer, John D. Lee
Int. J. Hum. Comput. Stud.1
2021 How Will Drivers Take Back Control in Automated Vehicles? A Driving Simulator Test of an Interleaving Framework
abstract
We explore the transfer of control from an automated vehicle to the driver. Based on data from N=19 participants who participated in a driving simulator experiment, we find evidence that the transfer of control often does not take place in one step. In other words, when the automated system requests the transfer of control back to the driver, the driver often does not simply stop the non-driving task. Rather, the transfer unfolds as a process of interleaving the non-driving and driving tasks. We also find that the process is moderated by the length of time available for the transfer of control: interleaving is more likely when more time is available. Our interface designs for automated vehicles must take these results into account so as to allow drivers to safely take back control from automation.
Divyabharathi Nagaraju, Alberta Ansah, Nabil Al Nahin Ch, Caitlin Mills 0001, Christian P. Janssen, Orit Shaer, Andrew L. Kun
AutomotiveUI3