Research and Optimization on Ticket Vending Machine Based on Human-computer Interaction

DOI

10.2991/caai-17.2017.19How to use a DOI?

Keywords

Keywords-component; human-computer interaction; user experience; Ticket Vending Machine (TVM); AHP-grey relational analysis

Abstract

This paper makes the subway automatic ticket machine as the research subject, presents the suggestion of conducting the research and optimization based on human-computer interaction. We establish evaluation model of user experience based on the survey, correlation analysis and factor analysis. Selecting the representative TVM scheme and quantize the indicators based on the evaluation model, the best scheme with the highest degree of user experience will be selected. Furthermore, this paper establishes and standardizes the evaluation element index matrix by using the Analytic Hierarchy Process(AHP)-Grey Relational Analysis(GRA) and compute the comprehensive correlation degree to determine the best solution. The TVM differences between China and Japan are analyzed based on the calculation results, and the suggestion on the user experience improvement is put forward.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yan Zhou
AU  - Siyu Wang
PY  - 2017/06
DA  - 2017/06
TI  - Research and Optimization on Ticket Vending Machine Based on Human-computer Interaction
BT  - Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
PB  - Atlantis Press
SP  - 92
EP  - 95
SN  - 1951-6851
UR  - https://doi.org/10.2991/caai-17.2017.19
DO  - 10.2991/caai-17.2017.19
ID  - Zhou2017/06
ER  -