Using the technology acceptance model to understand behavioral intentions in the use of a human computer interface (HCI) system

Wen Jye Shyr, Chi Feng Feng, Po Wen Liu, Tsung Lin Chiang, Te Jen Su

Research output: Contribution to journalArticle

1 Citation (Scopus)


This study presents the technology acceptance model to assist universities in predicting the behavioral intentions associated with the use of a human computer interface system for learning. A total of 41 students responded to a survey following the completion of an eight-week teaching course. Data were collected to examine the path relationships among all variables (perceived usefulness, perceived ease of use, attitude toward use, and behavioral intention to use) influencing the acceptance of the system learning. The partial least squares method was used to test the measurement and the structural model. Path analysis verified that acceptance of the human computer interface system was directly influenced by the learner's "attitude toward use" and "perceived usefulness." Rich content and the ease of use should be the focus when designing systems for university students, due to their effects on the behavioral intentions of students.

Original languageEnglish
Pages (from-to)121-127
Number of pages7
JournalInternational Journal of Engineering Education
Issue number1
Publication statusPublished - 2017 Jan 1


All Science Journal Classification (ASJC) codes

  • Education
  • Engineering(all)

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