Abstract
This study aims to predict user acceptance of smart clothing. The present research develops and validates new products for smart clothing. Studies suggest that further analysis of the process be undertaken to better establish properties for smart clothing, underlying structures and stability over innovative technologies. The findings reported in this paper should be useful methods which identify user needs. Such findings in now provide a way to explain technology acceptance. Both of qualitative and quantitative methods were applied to this study in order to find out user needs for smart clothing. We are writing scenarios and conducting both focused group interviews and a survey to assess the user’s interest. The purpose of the survey is to evaluate the importance of the functions and to evaluate the degree of the participant’s feeling and attitude. Furthermore, we explore the nature and specific influences of factors that may affect the user perception and usage.
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Hong, JY., Chae, HS., Han, KH. (2007). A Study on the Acceptance Factors of the Smart Clothing. In: Jacko, J.A. (eds) Human-Computer Interaction. Interaction Platforms and Techniques. HCI 2007. Lecture Notes in Computer Science, vol 4551. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73107-8_121
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DOI: https://doi.org/10.1007/978-3-540-73107-8_121
Publisher Name: Springer, Berlin, Heidelberg
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