An investigation of usability evaluation for smart clothing

  • Authors:
  • Haeng-Suk Chae;Ji-Young Hong;Hyun-Seung Cho;Kwang-Hee Han;Joo-Hyeon Lee

  • Affiliations:
  • Cognitive Engineering Lab, Yonsei University, Seoul, Korea;Cognitive Engineering Lab, Yonsei University, Seoul, Korea;Research Institute of Clothing & Textile Sciences, Yonsei University, Seoul, Korea;Cognitive Engineering Lab, Yonsei University, Seoul, Korea;Dept. of Clothing and Textiles, Yonsei University, Seoul, Korea

  • Venue:
  • HCI'07 Proceedings of the 12th international conference on Human-computer interaction: interaction platforms and techniques
  • Year:
  • 2007

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Abstract

The purpose of this paper is to develop usability evaluation for smart clothing. In this paper, we propose evaluation factor and object through user centered evaluation process. The basic idea of this paper is to know the thought from wearable user. Also, we gathered the opinion from expert group. As a result, we adopted evaluation item categories. By examining some empirical data which is obtained from Observation Evaluation (OE) and Wearability Evaluation (WE), we conclude usability evaluation of Smart Clothing. The design process in creating a successful wearable usability is no longer about providing technical success, rather about creating an optimal user experience. Their studies provide guideline on the types of limit process that can affect user's situation in wearable computing. In this paper, usability of smart clothing is described, including improving reinforces of previous studies [2], [4], [5]. In addition, we provide a framework for usability to support new types. First, we were composed of systematic experience factor structure from an extraction factor as qualitative process based on scenario. We made factor-object matrix to check usability factor and wearable object position. Second, we finished developing questions about evaluation domain. Third, we took evaluation by questionnaire as observational and wearable types. Last, we did analysis and structure evaluation. We implemented factor analysis which was possible to access theoretic structure and delete meaningless questionnaire.