Emotional elements of user experience on autonomous vehicle

Jung Min Lee, Da Young Ju

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Through the technical convergence in the information technology and vehicle industry, there had been increase in interest on the development of the input interaction method in the autonomous vehicle. Here, using Patrick Jordan’s Four Pleasures theory, this research aims to understand the relationship between emotional element of user experience and prioritized input interaction method in the autonomous environment. Through the online survey that was conducted among 78 participants, the study found that first, biometrics is the most preferred input interaction method in autonomous vehicle, second, apart from air gesture and electroencephalography, no significance preference difference exists among age, gender, driving experience or innovation adoption group over the input interaction method. Lastly, physiological pleasure plays the most significant role on the prioritization over the input interaction method in the autonomous vehicle.

Original languageEnglish
Title of host publicationAdvances in Interdisciplinary Practice in Industrial Design - Proceedings of the AHFE 2018 International Conference on Interdisciplinary Practice in Industrial Design, 2018
EditorsCliff Sungsoo Shin, WonJoon Chung
PublisherSpringer Verlag
Pages312-322
Number of pages11
ISBN (Print)9783319946009
DOIs
Publication statusPublished - 2019
EventAHFE International Conference on Interdisciplinary Practice in Industrial Design, 2018 - Orlando, United States
Duration: 2018 Jul 212018 Jul 25

Publication series

NameAdvances in Intelligent Systems and Computing
Volume790
ISSN (Print)2194-5357

Other

OtherAHFE International Conference on Interdisciplinary Practice in Industrial Design, 2018
Country/TerritoryUnited States
CityOrlando
Period18/7/2118/7/25

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG, part of Springer Nature 2019.

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

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