Providing Peripheral Trajectory Information to Avoid Motion Sickness During the In-car Reading Tasks

Autor:	Fong-Gong Wu, Wei Chi Chien, Yi Ting Mu
Rok vydání:	2019
Předmět:	Matching (statistics) Computer science media_common.quotation_subject Virtual reality User requirements document medicine.disease Motion (physics) Motion sickness Anticipation (artificial intelligence) Human–computer interaction Reading (process) Trajectory medicine media_common
Zdroj:	Human Systems Engineering and Design II ISBN: 9783030279271 IHSED
DOI:	10.1007/978-3-030-27928-8_33
Popis:	Carsickness is one of the most common types of motion sickness. It can be resulted by unanticipated body motion, which mismatches our anticipation of movement. However, related studies tend to increase user’s visual information which instead affects the possibility of doing non-driving tasks. Therefore, matching sensory signals and engaging in the performance of non-driving tasks will be the key to improving user requirements. The experiment, which we choose to carry on a vehicle, analyses subjective ratings of motion sickness, in order that the user not only releases carsickness symptom, but also obtains a meaningful and rich traveling experience (in-vehicle reading). The result and experience shall be able to be applied in other related design research about physiological issues of future technology, such as motion sickness in autonomous driving or virtual reality.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6af3e5ee54c9c29b58eb52af15edbac2 https://doi.org/10.1007/978-3-030-27928-8_33 Zobrazit plný text záznamu