Demo Data from SIGIR 2026 / reviewers in the wild / expert
Rawan Srour Zreik
dblp:356/8389
· DBLP profile ↗
2ranked-venue papers
2as first author
2since 2021 · last 2025
0009-0007-0684-7842ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 2 first-author · 2 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Human-computer interaction and pervasive computing
1 paper |
Interaction techniques and input · 50% Design research and methods · 50% | |
| Artificial intelligence
1 paper |
Autonomous driving · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Design research and methods
cross-cultural design |
0.9 | 1 | 2025 | All-inclusive TORs: Cross-Cultural and Age-Sensitive Design for Take-Over Requests in Level 3 Cars · CHI 2025 |
Robotics › Autonomous driving
human factors of automated vehicles |
0.3 | 1 | 2025 | All-inclusive TORs: Cross-Cultural and Age-Sensitive Design for Take-Over Requests in Level 3 Cars · CHI 2025 |
Methods — techniques the papers use, named apart from their topics
participatory design · 1.7cross-cultural study · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | All-inclusive TORs: Cross-Cultural and Age-Sensitive Design for Take-Over Requests in Level 3 CarsabstractTransitioning to manual control following a Take-Over Request (TOR) in Level 3 autonomous cars is challenging, requiring drivers to re-engage with driving after engaging with Non-Driving Related Tasks (NDRTs). Effective TOR design can mitigate this challenge. We present the first study on how culture, age, and NDRT intersect to shape TOR design. In a cross-cultural study across the UK (high traffic-law compliance) and Israel (low compliance), involving older and younger drivers, participants designed TORs for four NDRTs in a real car setting. Results revealed a universal preference for re-purposing NDRT-devices to issue TORs. Older drivers preferred tri-modal TORs that suspend the NDRT; younger drivers favoured bi-modal TORs allowing NDRT interruption management. Due to altered alert sensitivity and low law compliance, Israeli participants included a RiskMeter to assess hazard criticality. We introduce novel TOR designs and taxonomy features to guide culturally and age-sensitive TOR development, key for global Level 3 adoption. Rawan Srour Zreik, Monika Harvey, Stephen A. Brewster |
CHI | 1 |
| 2024 | Where's my TOR?: Evaluating the Effect of Take-Over Request Source on Older Drivers' Control Transition in Level 3 CarsabstractIt is challenging for older drivers to transition to manual control after a Take-Over Request (TOR) has been issued by a Level 3 car. This study investigated if the presentation source of the TOR affects driver performance when resuming control. We measured take-over performance, hazard perception, and user acceptance when the TOR was presented on (1) a smartphone displaying a Non-Driving Related Task (NDRT) simultaneously with the In-Vehicle Information System (IVIS), or (2) presented on the IVIS only. Two NDRTs that varied in cognitive demand were tested with older drivers aged 60-69 and 70+. For the lower cognitive demand NDRT, presenting the TOR on the smartphone+IVIS improved takeover performance, hazard perception, and user acceptance, with greater benefits observed in the 70+ group. For the cognitively demanding NDRT, the smartphone+IVIS presentation did not benefit either group of drivers. TOR designers can apply these findings to enhance TORs and assist older drivers in managing control transitions considering the NDRT cognitive demand. Rawan Srour Zreik, Thomas Goodge, Monika Harvey, Stephen A. Brewster |
Proc. ACM Hum. Comput. Interact. | 1 |