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      Adapting the Unified Theory of Acceptance and Use of Technology (UTAUT) as a Tool for Validating User Needs on the Implementation of e-Trial Software Systems


      Proceedings of HCI 2011 The 25th BCS Conference on Human Computer Interaction (HCI)

      Human Computer Interaction

      4 - 8 July 2011

      Health Information Technology (IT), Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology Theory (UTAUT)

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          This paper presents an adapted version of the Unified Theory of Acceptance and Use of Technology Model to be utilised as a validation tool of captured user needs and requirements of particular interactive software technologies, within the framework of Clinical Trial Management Systems (CTMS). In particular, this model is used to assess the users’ acceptance and technology adoption of specific CTMS modules of the electronic Primary Care Research Network (ePCRN) Clinical Trial Management Framework System. We present modifications on the variable of the key constructs of UTAUT, while we introduce our own moderating factors for the model in the context of validating an eligibility criteria tool for primary care and community-based clinical research.

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          The technology acceptance model: its past and its future in health care.

          Increasing interest in end users' reactions to health information technology (IT) has elevated the importance of theories that predict and explain health IT acceptance and use. This paper reviews the application of one such theory, the Technology Acceptance Model (TAM), to health care. We reviewed 16 data sets analyzed in over 20 studies of clinicians using health IT for patient care. Studies differed greatly in samples and settings, health ITs studied, research models, relationships tested, and construct operationalization. Certain TAM relationships were consistently found to be significant, whereas others were inconsistent. Several key relationships were infrequently assessed. Findings show that TAM predicts a substantial portion of the use or acceptance of health IT, but that the theory may benefit from several additions and modifications. Aside from improved study quality, standardization, and theoretically motivated additions to the model, an important future direction for TAM is to adapt the model specifically to the health care context, using beliefs elicitation methods.
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            Emotion & design: attractive things work better

             Don Norman (2002)

              Author and article information

              July 2011
              July 2011
              : 526-530
              Biomedical Informatics, Signals and Systems Research Lab.

              School of Electronic, Electrical and Computer Engineering

              The University of Birmingham, Edgbaston, B15 2TT
              © Amani J. Algharibi et al. Published by BCS Learning and Development Ltd. Proceedings of HCI 2011 The 25th BCS Conference on Human Computer Interaction, Newcastle Upon Tyne, UK

              This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit

              Proceedings of HCI 2011 The 25th BCS Conference on Human Computer Interaction
              Newcastle Upon Tyne, UK
              4 - 8 July 2011
              Electronic Workshops in Computing (eWiC)
              Human Computer Interaction
              Product Information: 1477-9358 BCS Learning & Development
              Self URI (journal page):
              Electronic Workshops in Computing


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