Understanding Users' Attitudes Towards Using a VoIP Survey

  • Authors:
  • Hsiu-Mei Huang;Chun-Hung Hsieh;Pei-I Yang;Chung-Min Lai;Wei-Hong Lin

  • Affiliations:
  • Graduate School of Computer Science and Information Technology, National Taichung Institute of Technology, Email: xyz3028@msn.com, Email: s18943112@ntit.edu.tw, Email: s18953114@ntit.edu.tw, Taich ...;Graduate School of Computer Science and Information Technology, National Taichung Institute of Technology, Email: xyz3028@msn.com, Email: s18943112@ntit.edu.tw, Email: s18953114@ntit.edu.tw, Taich ...;Graduate School of Computer Science and Information Technology, National Taichung Institute of Technology, Email: xyz3028@msn.com, Email: s18943112@ntit.edu.tw, Email: s18953114@ntit.edu.tw, Taich ...;Graduate School of Computer Science and Information Technology, National Taichung Institute of Technology, Email: xyz3028@msn.com, Email: s18943112@ntit.edu.tw, Email: s18953114@ntit.edu.tw, Taich ...;Graduate School of Computer Science and Information Technology, National Taichung Institute of Technology, Email: xyz3028@msn.com, Email: s18943112@ntit.edu.tw, Email: s18953114@ntit.edu.tw, Taich ...

  • Venue:
  • PAISI, PACCF and SOCO '08 Proceedings of the IEEE ISI 2008 PAISI, PACCF, and SOCO international workshops on Intelligence and Security Informatics
  • Year:
  • 2008

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Abstract

The Internet phone is a popular new technology. Several researches have been done on Internet phone technology. Many researches were done on how to make use of the Internet phone. The purpose of this paper is to explore users' perceptions on the use of the Internet phone as a survey tool.There are five factors that include usefulness, ease-of-use, perceived liking, perceived self-efficacy and computer anxiety in this study. This questionnaire was designed based on prior factors. Next, the questionnaire is used to collect data that explores users' intentions to using a VoIP survey. The analysis tool of this study is to apply cluster analysis, discrimination analysis and an independent-sample T test.The results show that the k-means clustering is able to detect factor relationships and patterns for users' attitudes towards a VoIP survey. In this study, k-means clustering classifies users' attitudes into high pleasure and low pleasure towards a VoIP survey. After that, classification results indicate 97.3% of original grouped cases correctly classified and 97.3% of cross-validated grouped cases correctly classified.Finally, this study contributes to understanding that both self-efficacy and perceived anxiety are main factors to the impact users' attitudes toward a VoIP survey.