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  • 标题:Assessment Metrics for Intelligence Level of Human-Computer Interface
  • 本地全文:下载
  • 作者:Ahmed El Zarka ; Tarik Ozkul
  • 期刊名称:Journal of Emerging Trends in Computing and Information Sciences
  • 电子版ISSN:2079-8407
  • 出版年度:2013
  • 卷号:4
  • 期号:3
  • 页码:319-352
  • 出版社:ARPN Publishers
  • 摘要:The quality of human computer interfaces is becoming increasingly important as embedded computers and mobile computing are evolving into an essential part of our lives. Often what makes or breaks the market success of a device is not the hardware, but the quality and ease-of-use of the human computer interface. Just as it is possible to discuss the intelligence level of machines in terms of “machine intelligence quotient”, it is becoming increasingly appropriate to discourse about the concept of “intelligence level of user interface”. This new quotient would provide a quantitative assessment of user interface quality, and would be an indicator for rating the ease-of-use of the user interface of human-computer interfaces. In this study, a framework has been developed for the assessment of “user interface intelligence” and is used to determine the quality of different smartphone interfaces.
  • 关键词:Machine Intelligence Quotient (MIQ); Mobile; User Interface; Smartphones.
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