[Development of Visually Induced Motion Sickness Evaluation Index Using Gaze Data of Elderly People].

driving simulator (DS) elderly people gaze data rotational eye movement visually induced motion sickness (VIMS)

Journal

Nihon eiseigaku zasshi. Japanese journal of hygiene
ISSN: 1882-6482
Titre abrégé: Nihon Eiseigaku Zasshi
Pays: Japan
ID NLM: 0417457

Informations de publication

Date de publication:
2022
Historique:
entrez: 22 3 2022
pubmed: 23 3 2022
medline: 24 3 2022
Statut: ppublish

Résumé

The benefit of using a noncontact eye-tracking system is its low a burden on individuals for measuring biological signals. The goal of this study was to develop a visually induced motion sickness (VIMS) evaluation index using data collected with a noncontact eye-tracking system for driving simulator (DS) experiments. The participants included nine elderly people with visual and balance functions that did not interfere with their daily life. The gaze data of the participants were measured at rest-both before and after DS trials. The participants answered followed up the simulator sickness questionnaire (SSQ) before and after each trial. The participants were divided into two groups on the basis of their SSQ results. One group experienced VIMS during the DS trial (four people; average age, 79.0 years), whereas the other group did not experience it (five people; average age, 71.2 years). The results of VIMS symptoms were confirmed: data concerning the locus of eye-tracking were lengthened, the eye-tracking data were diffused. This experiment demonstrated the usefulness of sparse density as a quantification index based on eye-tracking data in the evaluation of VIMS. Regarding the application of the findings of this study, it is believed that it will be easier to detect VIMS symptoms induced by DS operations if the index can be used for an eye-tracking data-based evaluation of VIMS.

Identifiants

pubmed: 35314574
doi: 10.1265/jjh.21001
doi:

Types de publication

Journal Article

Langues

jpn

Sous-ensembles de citation

IM

Auteurs

Kazuhiro Fujikake (K)

School of Psychology, Chukyo University.

Rentaro Ono (R)

Department of Human and Artificial Intelligent Systems, Graduate School of Engineering, University of Fukui.

Hiroki Takada (H)

Department of Human and Artificial Intelligent Systems, Graduate School of Engineering, University of Fukui.

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Classifications MeSH