Work place: Faculty of Information Technology, King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand
E-mail: thippayac@kmutnb.ac.th
Website:
Research Interests: Human-Computer Interaction, Computer systems and computational processes, Computer Architecture and Organization, Computer Networks, Data Structures and Algorithms
Biography
Thippaya Chintakovid Ph.D., is a lecturer at Faculty of Information Technology, King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand. She earned her Ph.D. in Information Science & Technology from College of Information Science & Technology, Drexel University, USA. Her research interest is in the area of Human-Computer Interaction, Computer-Supported Cooperative Work, and User Experience Design. She specializes in designing experimental research to study user behavior, user experience, and user motivation.
By Tharis Thimthong Thippaya Chintakovid Soradech Krootjohn
DOI: https://doi.org/10.5815/ijitcs.2013.08.09, Pub. Date: 8 Jul. 2013
Web interface design patterns provide solutions to recurring design problems. Many design patterns use various techniques, which have been proven to be significantly different, to solve the same design problem. Normally, web designers do not know whether users would be satisfied with their chosen choice until near or at the end of the web development process. To obtain user feedback, users are usually asked to interact with a web prototype or the finished web and give their opinion through standardized questionnaires. Net Promoter Score is one of such questionnaires. This scale categorizes users’ responses into promoters and detractors, which makes it easier for companies to understand user satisfaction towards their web. To enable the designers to obtain user feedback early in the design stage, Net Easy Score, a new metric based on Net Promoter Score, was proposed. With Net Easy Score (NES), ease-of-use scores on different design patterns will be divided into a positive and a negative group. The NES is a difference between percentages of positive responses and negative ones. This study examined ease-of-use scores on design patterns for five common tasks in commercial web applications. Results showed that NES and mean ease-of-use score were significantly correlated with an r of 0.965 (p < .000). Also, ranking the average ease-of-use scores and NES revealed the same design patterns identified as the best and the worst ones, which was consistent with the easiest-to-use design patterns voted by participants.
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