Quick and Dirty Prototyping and Testing for UX Design of Future Robo-Taxi
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lim, D. | - |
dc.contributor.author | Lee, M. | - |
dc.date.accessioned | 2021-12-17T02:41:23Z | - |
dc.date.available | 2021-12-17T02:41:23Z | - |
dc.date.created | 2021-12-17 | - |
dc.date.issued | 2022-01-01 | - |
dc.identifier.issn | 2367-3370 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/20971 | - |
dc.description.abstract | People increasingly view mobility as a service and want more choices for traveling between points A and B. Designing user experiences of future robo-taxi needs to be seen from a broad perspective and consider an extended user journey. Our work explores the application of quick and dirty prototyping and usability testing to design UX of future robo-taxi services from the ground up. We made low-fidelity prototypes early in the design process and quickly tested with users iteratively to answer initial questions arisen on critical touchpoints in the user journey. Two critical touchpoints are rider-driverless car match and in-car environment configuration. Five optional eHMI (external HMI) were tested, and our results suggest combining options depending on the distance between the vehicle and the passenger. We also tested two environment templates and found that preference depends on travel time regardless of the purpose of the journey. Finally, we suggest a service scenario composed of 14 scenes. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Springer Science and Business Media Deutschland GmbH | - |
dc.title | Quick and Dirty Prototyping and Testing for UX Design of Future Robo-Taxi | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lim, D. | - |
dc.identifier.doi | 10.1007/978-981-16-2380-6_30 | - |
dc.identifier.scopusid | 2-s2.0-85116005994 | - |
dc.identifier.wosid | 000767962400029 | - |
dc.identifier.bibliographicCitation | Lecture Notes in Networks and Systems, v.236, pp.345 - 356 | - |
dc.relation.isPartOf | Lecture Notes in Networks and Systems | - |
dc.citation.title | Lecture Notes in Networks and Systems | - |
dc.citation.volume | 236 | - |
dc.citation.startPage | 345 | - |
dc.citation.endPage | 356 | - |
dc.type.rims | ART | - |
dc.type.docType | Proceedings Paper | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.subject.keywordAuthor | Autonomous vehicles | - |
dc.subject.keywordAuthor | Co-creation | - |
dc.subject.keywordAuthor | eHMI | - |
dc.subject.keywordAuthor | Quick and dirty prototyping | - |
dc.subject.keywordAuthor | Robo-taxi | - |
dc.subject.keywordAuthor | Usability | - |
dc.subject.keywordAuthor | UX | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
94, Wausan-ro, Mapo-gu, Seoul, 04066, Korea02-320-1314
COPYRIGHT 2020 HONGIK UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.