User experience evaluation on the usage of commuter line train ticket vending machine

Faishal Muhammad, Nadia Faradilla, Erlinda Muslim, Desica Nur Adimia

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

To deal with the increase of mass transportation needs problem, PT. Kereta Commuter Jabodetabek (KCJ) implements Commuter Vending Machine (C-VIM) as the solution. However, this implementation is causing problems and long queues when the user is not accustomed to using the machine. The objective of this research is to evaluate user experience after using the commuter vending machine, to analyze the existing user experience problem, and to achieve a better user experience design. User experience is measured using both quantitative and qualitative measurements. The quantitative measurement comprises user performance metrics, such as task success, time on task, error, efficiency, and learnability. The qualitative measurement includes system usability scale questionnaire (SUS), questionnaire for user interface satisfaction (QUIS), and retrospective think aloud (RTA). This study shows that C-VIM has a bad performance and user experience. Interface redesign using activity relationship chart (ARC) was proposed and resulted in a better performance and user experience.

Original languageEnglish
Title of host publication2017 6th International Conference on Industrial Technology and Management, ICITM 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages164-170
Number of pages7
ISBN (Electronic)9781509053292
DOIs
Publication statusPublished - 2 May 2017
Event6th International Conference on Industrial Technology and Management, ICITM 2017 - Cambridge, United Kingdom
Duration: 7 Mar 201710 Mar 2017

Publication series

Name2017 6th International Conference on Industrial Technology and Management, ICITM 2017

Conference

Conference6th International Conference on Industrial Technology and Management, ICITM 2017
Country/TerritoryUnited Kingdom
CityCambridge
Period7/03/1710/03/17

Keywords

  • ARC
  • QUIS
  • RTA
  • SUS
  • cognitive ergonomics
  • commuter line train
  • performance metrics
  • user experience
  • vending machine

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