Using information technology: engagement modes, flow experience, and personality orientations

被引:41
|
作者
Sharafi, P [1 ]
Hedman, L
Montgomery, H
机构
[1] Stockholm Univ, Dept Psychol, S-10691 Stockholm, Sweden
[2] Umea Univ, Dept Psychol, S-90187 Umea, Sweden
关键词
engagement modes; flow experience; motivational and personality orientation; information technology;
D O I
10.1016/j.chb.2004.03.022
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
The engagement mode (EM) model describes how an IT user (subject) engages in an activity with an object in a certain mode. The model specifies five engagement modes (Enjoying/Acceptance, Ambition/Curiosity, Avoidance/Hesitation, Frustration/Anxiety, and Efficiency/Productivity), which are characterized on three dimensions (evaluation of object, locus of control between subject and object, and intrinsic or extrinsic focus of motivation). Using questionnaire data from 290 participants, we extended previous empirical support for the model as well as described the model's relationship to flow experience. In addition, it was found that autonomy, controlled and impersonal orientation in conjunction with socio-demographic variables differentiated among specific engagement modes and flow experience. We conclude that the EM-model, flow experience, and causality orientation theories provide a uniform framework for understanding how people adapt to information technology. (c) 2004 Elsevier Ltd. All rights reserved.
引用
收藏
页码:899 / 916
页数:18
相关论文
共 50 条
  • [41] An Experience of Running a MOOC on Information Technology
    Dagiene, Valentina
    Rutkauskiene, Danguole
    Gudoniene, Daina
    INTERNATIONAL JOURNAL OF HUMAN CAPITAL AND INFORMATION TECHNOLOGY PROFESSIONALS, 2016, 7 (03) : 76 - 88
  • [42] Information technology and historians - The Australian experience
    McLachlan, RCD
    SOCIAL SCIENCE COMPUTER REVIEW, 2005, 23 (02) : 174 - 180
  • [43] Dissemination of information on debris flow hazard areas using GIS technology
    Mori, T.
    Tanaka, H.
    Kurihara, J.
    Mori, K.
    Tsuzuki, N.
    DEBRIS-FLOW HAZARDS MITIGATION: MECHANICS, PREDICTION, AND ASSESSMENT, 2007, : 455 - +
  • [44] Using Blockchain Technology to Ensure Trustful Information Flow Monitoring in CPS
    Gries, Stefan
    Meyer, Ole
    Wessling, Florian
    Hesenius, Marc
    Gruhn, Volker
    2018 IEEE 15TH INTERNATIONAL CONFERENCE ON SOFTWARE ARCHITECTURE COMPANION (ICSA-C 2018), 2018, : 35 - 38
  • [45] Affordances of using mobile technology to support experience sampling method in examining college students' engagement
    Xie, Kui
    Heddy, Benjamin C.
    Greene, Barbara A.
    COMPUTERS & EDUCATION, 2019, 128 : 183 - 198
  • [46] Effects of Personality and Information Technology on Plagiarism: An Iranian Perspective
    Sohrabi, Babak
    Gholipour, Aryan
    Mohammadesmaeili, Neda
    ETHICS & BEHAVIOR, 2011, 21 (05) : 367 - 379
  • [47] Using Health Information Technology to Foster Engagement: Patients' Experiences with an Active Patient Health Record
    Rief, John J.
    Hamm, Megan E.
    Zickmund, Susan L.
    Nikolajski, Cara
    Lesky, Dan
    Hess, Rachel
    Fischer, Gary S.
    Weimer, Melissa
    Clark, Sunday
    Zieth, Caroline
    Roberts, Mark S.
    HEALTH COMMUNICATION, 2017, 32 (03) : 310 - 319
  • [48] Information and political engagement in America: The search for effects of information technology at the individual level
    Bimber, B
    POLITICAL RESEARCH QUARTERLY, 2001, 54 (01) : 53 - 67
  • [49] Psychophysiological investigations of individual differences (personality orientations) using EEG & fMRI
    Ciorciari, Joseph
    Gountas, John
    INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, 2014, 94 (02) : 147 - 147
  • [50] The need for innovations in healthcare systems using patient experience and advancing information technology
    Gurupur, Varadraj P.
    Wan, Thomas T. H.
    Rudraraju, Rama Raju
    Kulkarni, Shrirang A.
    JOURNAL OF INTEGRATED DESIGN & PROCESS SCIENCE, 2023, 27 (01) : 1 - 5