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.
|Title of host publication||Advances in Interdisciplinary Practice in Industrial Design - Proceedings of the AHFE 2018 International Conference on Interdisciplinary Practice in Industrial Design, 2018|
|Editors||Cliff Sungsoo Shin, WonJoon Chung|
|Number of pages||11|
|Publication status||Published - 2019|
|Event||AHFE International Conference on Interdisciplinary Practice in Industrial Design, 2018 - Orlando, United States|
Duration: 2018 Jul 21 → 2018 Jul 25
|Name||Advances in Intelligent Systems and Computing|
|Other||AHFE International Conference on Interdisciplinary Practice in Industrial Design, 2018|
|Period||18/7/21 → 18/7/25|
Bibliographical noteFunding Information:
Acknowledgments. This research was supported by the MIST (Ministry of Science and ICT), Korea, under the “ICT Consilience Creative Program” (IITP-2018-2017-0-01015) supervised by the IITP (Institute for Information & communications Technology Promotion). This work was also supported by Korea Creative Content Agency (KOCCA), grant funded by the Korea government (MCST) (No. R2017030009, The development of infotainment contents and interaction for space of movement).
© Springer International Publishing AG, part of Springer Nature 2019.
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Computer Science(all)