| Title | In-Vehicle Voice Control Interface Evaluation: Preliminary Driver Workload and Risk Analysis |
|---|---|
| Record ID | 68885 |
| Personal Name Creator |
Jenness, James; Boyle, Linda Ng; Lee, John D.; Miller, Erika; Yahoodik, S.; Huey, Richard; Lee, Ja Young; Benedick, A.; Petraglia, Elizabeth |
| Corporate Creator | Westat, Inc. |
| Corporate Contributor |
United States. Department of Transportation. National Highway Traffic Safety Administration |
| Publisher | United States. Department of Transportation. National Highway Traffic Safety Administration |
| Publication Date | 20200101 |
| Language | English |
| Abstract | This project evaluated distraction and relative risk associated with using voice control systems (VCS) while driving. The objective was to explore potential empirical measures and to use a modeling approach for evaluating risk with these voice-based systems. The project included three studies. Study 1 and Study 2 were designed to assess potential measures of the workload and demands on the driver imposed by voice-based and hybrid (audio plus visual) tasks. Participants interacted with a “Wizard of Oz” VCS while driving and a novel radio tuning benchmark task was used. Study 1 (n = 9) compared response times for the tactile detection response task (TDRT), which is a standardized measure of cognitive load, with a modified remote detection response task (RDRT) which was implemented in this study to provide a complementary measure of visual attention toward the forward roadway. Response time was sensitive to differences between VCS tasks, and there was a significant interaction between detection response task (DRT) type and VCS task. Study 2 (n = 9) included both on-road data collection and data collection with a driving simulator. In three different sessions, measurement protocols included TDRT, response time to the lead vehicle (LV) brake light, speed matching to a speed-varying LV, and off-road eye glance measures. Results indicated that task completion time, TDRT performance, and eye glance measures distinguished between VCS tasks and provided similar results in the on-road and simulated driving contexts. Study 3 used an analytical approach to develop relative risk estimates and crash severity estimates for the VCS tasks tested in this project. Counterfactual -- or “what if” -- simulations made use of a set of crash events and near crash events recorded in the second Strategic Highway Research Program (SHRP 2) naturalistic driving study. These events were then replayed as a set of simulations, where the eye glance data collected in Study 1 and Study 2 were substituted for the original eye glance data recorded from drivers in the SHRP 2 study. Risk estimates and crash severity estimates developed using this technique varied considerably by VCS task and by driver. |
| Rosap ID | dot:43640 |
| Rosap URL | https://rosap.ntl.bts.gov/view/dot/43640 |
| TRT Terms | Distraction; Driver performance; Driver vehicle interfaces; Drivers; Errors; Speech recognition |
| General Subjects | Driver distraction; in-vehicle technologies; voice control system; counterfactual simulation; on-road; driving simulator; N-back task |
| Geographical Coverage |
United States |
| TRIS Online Accession No |
1732494 |
| Contract Number | DTNH22-11-D-00237/0013 |
| Report Number | DOT HS 812 813 |
| Resource type | Tech Report |
| URL | https://ntlrepository.blob.core.windows.net/lib/68000/68800/68885/14456_VOICE2study_100419-v2-tag_Rem.pdf |
| Format | |
| Database | NTL Digital Repository |