Zobrazeno 1 - 10
of 78
pro vyhledávání: '"X Jessie Yang"'
Autor:
Yifan Zheng, Brigid Rowell, Qiyuan Chen, Jin Yong Kim, Raed Al Kontar, X Jessie Yang, Corey A Lester
Publikováno v:
JMIR Formative Research, Vol 7, p e51921 (2023)
BackgroundMedication errors, including dispensing errors, represent a substantial worldwide health risk with significant implications in terms of morbidity, mortality, and financial costs. Although pharmacists use methods like barcode scanning and do
Externí odkaz:
https://doaj.org/article/615248feb31841e994376b2ebbc82c2e
Publikováno v:
IEEE Access, Vol 9, Pp 27708-27722 (2021)
For automated vehicles (AVs) to navigate safely, they must be able to anticipate and predict the behavior of pedestrians. This is particularly critical in urban driving environments where risks of collisions are high. However, a major challenge is th
Externí odkaz:
https://doaj.org/article/ca1fb1c65a504b579c324565b2b5539e
Publikováno v:
IEEE Access, Vol 9, Pp 159533-159540 (2021)
Automated vehicles (AV) have the potential to decrease driving-related accidents and traffic congestion and to reduce fuel consumption and carbon emissions. However, because of a lack of trust and acceptance, their widespread adoption is far from cer
Externí odkaz:
https://doaj.org/article/f35f83b45baa45fda8d03f2703586de9
Autor:
Ruikun Luo, Yifan Weng, Paramsothy Jayakumar, Mark J. Brudnak, Victor Paul, Vishnu R. Desaraju, Jeffrey L. Stein, Tulga Ersal, X. Jessie Yang
Publikováno v:
International Journal of Human–Computer Interaction. :1-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2de202bae4e7ddfaf69c1526b79a4c80
https://doi.org/10.1080/10447318.2023.2205274
https://doi.org/10.1080/10447318.2023.2205274
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 66:1627-1631
The use of an online crowdsourcing platform makes it easier and quicker for researchers to recruit participants online. It also allows researchers to adopt another payment method traditionally used on crowdsourcing platforms: the piece-rate payment m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a821f4a426054399b29746a9f9c6f259
https://doi.org/10.1177/1071181322661135
https://doi.org/10.1177/1071181322661135
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 66:2220-2224
Using online crowdsourcing platforms has become an option for researchers to rapidly recruit participants for completing tasks that require human ingenuity. However, a growing concern is that workers on online crowdsourcing platforms, such as Amazon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5bf81748081193d3fb7b3387f207aeb
https://doi.org/10.1177/1071181322661532
https://doi.org/10.1177/1071181322661532
Publikováno v:
International Journal of Human–Computer Interaction. 38:1962-1971
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d96ba85d6725f138dfdcb6b8c07bd296
https://doi.org/10.1080/10447318.2022.2097602
https://doi.org/10.1080/10447318.2022.2097602
Autor:
Suresh Kumaar Jayaraman, Chandler Creech, Dawn M. Tilbury, X. Jessie Yang, Anuj K. Pradhan, Katherine M. Tsui, Lionel P. Robert
Publikováno v:
Frontiers in Robotics and AI, Vol 6 (2019)
Pedestrians' acceptance of automated vehicles (AVs) depends on their trust in the AVs. We developed a model of pedestrians' trust in AVs based on AV driving behavior and traffic signal presence. To empirically verify this model, we conducted a human
Externí odkaz:
https://doaj.org/article/1ddf5fae06944bff851d827448f64390
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2677:554-561
This study explored, in consideration of cultural differences, how explanation timing and permission of the automated vehicle’s (AV’s) actions affected drivers’ trust in, preference for, and anxiety about the AV. We conducted a video-based onli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bc8e2752e15c583f1d467a55036f262
https://doi.org/10.1177/03611981221100528
https://doi.org/10.1177/03611981221100528
Publikováno v:
Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction.
Trust has been identified as a central factor for effective human-robot teaming. Existing literature on trust modeling predominantly focuses on dyadic human-autonomy teams where one human agent interacts with one robot. There is little, if not no, re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6453ebc5db90f571c3073e6533375a26
https://doi.org/10.1145/3568294.3580164
https://doi.org/10.1145/3568294.3580164