Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Dina Kanaan"'
Publikováno v:
Frontiers in Future Transportation, Vol 3 (2022)
Background: SAE Level 2 driving automation, the state-of-the-art in commercial vehicles, requires drivers to monitor the environment to resume vehicle control when automation limits are surpassed. However, this type of driving automation was found to
Externí odkaz:
https://doaj.org/article/23cab47a8d5a45dda1674c5b1d56e9b2
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 65:1400-1404
Different in-vehicle interface designs have been proposed to support drivers in operating vehicle automation systems. Measures of visual attention are particularly useful in the evaluation of such interfaces, especially in conditions when driving per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::798dac94d3e1273b3caafaecc887abd4
https://doi.org/10.1177/1071181321651258
https://doi.org/10.1177/1071181321651258
Publikováno v:
Journal of Intelligent Transportation Systems. :1-31
Research on driving automation has investigated the use of takeover requests (TORs) to warn drivers about automation failures that require their intervention. Such failures can occur with informati...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15d2d8c64beb166df6908a2f92d28296
https://doi.org/10.1080/15472450.2021.1891536
https://doi.org/10.1080/15472450.2021.1891536
Publikováno v:
Studies in Computational Intelligence ISBN: 9783030777258
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7767054eec12ea39e35ad781d700550e
https://doi.org/10.1007/978-3-030-77726-5_12
https://doi.org/10.1007/978-3-030-77726-5_12
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 63:2088-2092
Driver distraction is one of the leading causes of vehicle crashes. The introduction of higher levels of vehicle control automation is expected to alleviate the negative effects of distraction by delegating the driving task to automation, thus enabli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecc5e2fa31a5be86014f4b7c88ac7608
https://doi.org/10.1177/1071181319631283
https://doi.org/10.1177/1071181319631283
Publikováno v:
International Journal of Mobile Human Computer Interaction. 11:59-70
This research utilized vehicle-based measures from a naturalistic driving dataset to detect distraction as indicated by long off-path glances (≥ 2 s) and whether the driver was engaged in a secondary (non-driving) task or not, as well as to estimat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a445e0fad9fe0c0512e7cee172101ce3
https://doi.org/10.4018/ijmhci.2019070104
https://doi.org/10.4018/ijmhci.2019070104
Autor:
Dina Kanaan, Nadine Marie Moacdieh
Publikováno v:
Human factors. 64(7)
Objective To use eye tracking to understand the effects of interruptions in different workload conditions as part of a monitoring and change detection task. Background Interruptions are detrimental to performance in complex, multitasking domains. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b965ba405d81b21ff2d77beab2c1bd2
https://pubmed.ncbi.nlm.nih.gov/33555965
https://pubmed.ncbi.nlm.nih.gov/33555965
Publikováno v:
Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021) ISBN: 9783030746070
In this paper, we report a secondary analysis of data collected from two driving simulator experiments to understand the effects of SAE-Level 2 driving automation on drivers’ glances in anticipation of traffic events. Background: Current state-of-t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e312ef0f1135382fbf2f93cd95c3ecf
https://doi.org/10.1007/978-3-030-74608-7_80
https://doi.org/10.1007/978-3-030-74608-7_80
Autor:
Donald L. Fisher, Tara Kelley-Baker, Andy Lehrer, Stephen M. Popkin, Birsen Donmez, Dina Kanaan
Publikováno v:
Handbook of Human Factors for Automated, Connected, and Intelligent Vehicles ISBN: 9781315269689
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ce2bd12e3b8641876b90269768d2dae
https://doi.org/10.1201/b21974-9
https://doi.org/10.1201/b21974-9
Publikováno v:
Accident; analysis and prevention. 149
Objective This paper investigates the effectiveness of in-vehicle displays in supporting drivers’ anticipation of traffic conflicts in automated vehicles (AVs). Background Providing takeover requests (TORs) along with information on automation capa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::225d657ae198dc037ae8c7970130f6a0
https://pubmed.ncbi.nlm.nih.gov/33157393
https://pubmed.ncbi.nlm.nih.gov/33157393