Abstract
This paper report on two experimental studies on digital monitoring interface to measure the user experience in intelligent tunnel monitoring system. Based on cognitive psychology theory, we conducted two experimental evaluation studies. The study 1 was using questionnaire method to explore and survey the end users. The study 2 was a comparative research study which were undergoing 7-point Likert user experience questionnaire. The prototypes of the study 2 were designed based on the study 1. Through the study 1 and study 2, we found that the target user needs of the digital monitoring interface were: (1) the interaction mode guided by logic of behaviors is more suitable for the design of tunnel data monitoring system; (2) professional background differences have lower significance on system availability; (3) data visualization should be different in different application scenarios. The research results can help us to deeper understand the design of digital monitoring interface in the related working scenarios.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Blažević, N.: Internet of everything. Mob. Inf. Syst. 2017, 1–3 (2017)
Yuan-Zhuo, W.: Network big data: present and future. Chin. J. Comput. 36(6), 1125–1138 (2013)
Hassenzahl, M., Tractinsky, N.: User experience - a research agenda. Behav. Inf. Technol. 25(2), 91–97 (2006)
Wen, J., Wu, M., Su, J.: Cyber-physical system. Acta Autom. Sin. 38(4), 507–517 (2012)
Liu, C., Xu, X.: Cyber-physical machine tool-the era of machine tool 4.0. Procedia CIRP 63, 70–75 (2017)
Khan, M., Wu, X., Xu, X., Dou, W.: Big data challenges and opportunities in the hype of industry 4.0. In: IEEE ICC 2017. IEEE (2017)
Bitner, M.J., Ostrom, A.L., Morgan, F.N.: Service blueprinting: a practical technique for service innovation. Calif. Manag. Rev. 50(3), 66–94 (2008)
Xin, X.: Interaction design: from logic of things to logic of behaviors. Art Des. 261(1), 58–62 (2015)
Acknowledgments
The research financial supports from the Natural Science Youth Foundation of Hubei Province (Project No: 2017CFB276), Hubei Provincial Teaching Research Project (Project No: 2017055), Hubei Provincial Department of Education Humanities and Social Sciences Project (Project No: 18G002), Program of Introduction of Entrepreneurial Talents in Dongguan.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Wu, L. et al. (2019). User Experience Evaluation of Intelligent Tunnel Digital Monitoring Interface Based on Cognitive Psychology. In: Stephanidis, C. (eds) HCI International 2019 - Posters. HCII 2019. Communications in Computer and Information Science, vol 1032. Springer, Cham. https://doi.org/10.1007/978-3-030-23522-2_53
Download citation
DOI: https://doi.org/10.1007/978-3-030-23522-2_53
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-23521-5
Online ISBN: 978-3-030-23522-2
eBook Packages: Computer ScienceComputer Science (R0)