A review of motion sickness in automated vehicles
dc.contributor.author | Dam, A. | en |
dc.contributor.author | Jeon, Myounghoon | en |
dc.date.accessioned | 2025-01-10T14:27:17Z | en |
dc.date.available | 2025-01-10T14:27:17Z | en |
dc.date.issued | 2021-09-09 | en |
dc.date.issued | 2021-09-20 | en |
dc.description.abstract | Automated vehicles (AVs) are the next wave of evolution in the transportation industry, but the progress towards increased levels of automation faces several challenges. One of the major problems, that gets overlooked, is motion sickness. As more drivers become passengers engaging in 'assenger tasks', it will lead to greater occurrences of motion sickness, preventing AVs from providing their true benefit to society. In an attempt to encourage more researchers to solve the problem of motion sickness in AVs, this study conducted a literature review following the PRISMA framework to identify the latest research trends and methodologies. Based on the findings and limitations in the existing literature, this study suggests a bird's-eye-view research framework consisting of causation, induction, measurement, and mitigation techniques, that researchers and early practitioners can utilize to conduct research in this field. Furthermore, the paper highlights future research directions in mitigation techniques to combat motion sickness in AVs. | en |
dc.description.notes | Yes, full paper (Peer reviewed?) | en |
dc.description.version | Published version | en |
dc.format.extent | Pages 39-48 | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.doi | https://doi.org/10.1145/3409118.3475146 | en |
dc.identifier.isbn | 9781450380638 | en |
dc.identifier.orcid | Jeon, Myounghoon [0000-0003-2908-671X] | en |
dc.identifier.uri | https://hdl.handle.net/10919/124110 | en |
dc.language.iso | en | en |
dc.publisher | ACM | en |
dc.relation.uri | https://doi.org/10.1145/3409118.3475146 | en |
dc.rights | In Copyright | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject | Computer Science, Interdisciplinary Applications | en |
dc.subject | Engineering, Electrical & Electronic | en |
dc.subject | Transportation | en |
dc.subject | Computer Science | en |
dc.subject | Engineering | en |
dc.subject | Transportation | en |
dc.subject | vehicle automation | en |
dc.subject | motion sickness | en |
dc.subject | review | en |
dc.subject | mitigation methods | en |
dc.subject | induction methods | en |
dc.subject | measures of motion sickness | en |
dc.subject | sensory conflict | en |
dc.subject | anticipation | en |
dc.subject | PREVENTION | en |
dc.subject | FREQUENCY | en |
dc.subject | SYMPTOMS | en |
dc.subject | BALANCE | en |
dc.subject | 3509 Transportation, Logistics and Supply Chains | en |
dc.subject | 46 Information and Computing Sciences | en |
dc.subject | 35 Commerce, Management, Tourism and Services | en |
dc.title | A review of motion sickness in automated vehicles | en |
dc.title.serial | Proceedings - 13th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2021 | en |
dc.type | Conference proceeding | en |
dc.type.dcmitype | Text | en |
dc.type.other | Proceedings Paper | en |
dc.type.other | Book | en |
pubs.finish-date | 2021-09-14 | en |
pubs.organisational-group | Virginia Tech | en |
pubs.organisational-group | Virginia Tech/Engineering | en |
pubs.organisational-group | Virginia Tech/Engineering/Industrial and Systems Engineering | en |
pubs.organisational-group | Virginia Tech/All T&R Faculty | en |
pubs.organisational-group | Virginia Tech/Engineering/COE T&R Faculty | en |
pubs.start-date | 2021-09-09 | en |