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Improvement Method for Business Operations Using User Experience Adaptive Information Sharing Terminals

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Advances in Usability, User Experience and Assistive Technology (AHFE 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 794))

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Abstract

Cost reduction and operational efficiency improvement are important issues for corporate management. Hence, in this work, we focus on the time span of a momentary User Experience (UX). To our knowledge, there is no case study on incorporating the objective indicators based on individual experience and on improving the quality of teamwork. We propose a method to improve work by customizing the information presented to the users participating in a teamwork based on the experience and satisfaction of each user. As a method of evaluation, we use the user experience questionnaire. In addition, we perform a customer satisfaction analysis. We can extract the evaluation terms that largely improve the ease of viewing the screen and operability using this analysis. Moreover, from the evaluation terms, we can extract specific items that need to be improved preferentially as knowledge for the next design. Therefore, it is possible to improve both the work and user experience when sharing information.

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Acknowledgments

I wish to thank Human Media Engineering Laboratory of the Faculty of Science and Technology, Chuo University, and the Kansei Robotics Research Center who supported the discussions and reviewed this study.

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Correspondence to Yuka Sugiyama .

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Sugiyama, Y., Kato, T., Sakamoto, T. (2019). Improvement Method for Business Operations Using User Experience Adaptive Information Sharing Terminals. In: Ahram, T., Falcão, C. (eds) Advances in Usability, User Experience and Assistive Technology. AHFE 2018. Advances in Intelligent Systems and Computing, vol 794. Springer, Cham. https://doi.org/10.1007/978-3-319-94947-5_32

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  • DOI: https://doi.org/10.1007/978-3-319-94947-5_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94946-8

  • Online ISBN: 978-3-319-94947-5

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