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Original Articles

Evaluating technology engagement in the time of COVID-19: the Technology Engagement Scale

, , , , &
Pages 943-955 | Received 22 Jun 2022, Accepted 22 Mar 2023, Published online: 09 May 2023

References

  • Andrich, D., B. Sheridan, A. Lyne, and G. Luo. 2000. RUMM: A Windows-Based Item Analysis Program Employing Rasch Unidimensional Measurement Models. Perth: Murdoch University.
  • Barello, S., C. Castiglioni, A. Bonanomi, and G. Graffigna. 2019. “The Caregiving Health Engagement Scale (CHE-s): Development and Initial Validation of a New Questionnaire for Measuring Family Caregiver Engagement in Healthcare.” BMC Public Health 19 (1): 1–16. doi:10.1186/s12889-019-7743-8
  • Bombard, Y., G. R. Baker, E. Orlando, C. Fancott, P. Bhatia, S. Casalino, … M.-P. Pomey. 2018. “Engaging Patients to Improve Quality of Care: A Systematic Review.” Implementation Science 13 (1): 1–22. doi:10.1186/s13012-018-0784-z
  • Bonanomi, A., G. Cantaluppi, M. Nai Ruscone, and S. A. Osmetti. 2015. “A New Estimator of Zumbo’s Ordinal Alpha: A Copula Approach.” Quality & Quantity 49 (3): 941–953. doi:10.1007/s11135-014-0114-8
  • Bouvier, P., E. Lavoué, and K. Sehaba. 2014. “Defining Engagement and Characterizing Engaged-Behaviors in Digital Gaming.” Simulation & Gaming 45 (4–5): 491–507. doi:10.1177/1046878114553571
  • Budd, J., B. S. Miller, E. M. Manning, V. Lampos, M. Zhuang, M. Edelstein, … N. Keegan. 2020. “Digital Technologies in the Public-Health Response to COVID-19.” Nature Medicine 26 (8): 1183–1192. doi:10.1038/s41591-020-1011-4
  • Calvo, R. A., and D. Peters. 2014. Positive Computing: Technology for Wellbeing and Human Potential. MIT Press.
  • Cellini, N., N. Canale, G. Mioni, and S. Costa. 2020. “Changes in Sleep Pattern, Sense of Time and Digital Media use During COVID-19 Lockdown in Italy.” Journal of Sleep Research 29 (4): e13074. doi:10.1111/jsr.13074
  • Chessa, M., and F. Solari. 2021. “The Sense of Being There During Online Classes: Analysis of Usability and Presence in Web-Conferencing Systems and Virtual Reality Social Platforms.” Behaviour & Information Technology 40 (12): 1237–1249. doi:10.1080/0144929X.2021.1957017
  • Davies, C. H. J. (2002). Student Engagement with Simulations: A Case Study. Computers & Education, 39(3), 271–282. doi:10.1016/S0360-1315(02)00046-5
  • Davis, F. D. 1985. A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results. Massachusetts Institute of Technology.
  • Deutrom, J., V. Katos, and R. Ali. 2021. “Loneliness, Life Satisfaction, Problematic Internet use and Security Behaviours: Re-Examining the Relationships When Working from Home During COVID-19.” Behaviour & Information Technology, 1–15.
  • Doherty, K., and G. Doherty. 2019. “Engagement in HCI: Conception, Theory and Measurement.” ACM Computing Surveys 51 (5): 1–39. doi:10.1145/3234149
  • Erjavec, J., and A. Manfreda. 2022. “Online Shopping Adoption During COVID-19 and Social Isolation: Extending the UTAUT Model with Herd Behavior.” Journal of Retailing and Consumer Services 65: 102867. doi:10.1016/j.jretconser.2021.102867
  • Gaggioli, A., G. Riva, D. Peters, and R. A. Calvo. 2017. “Positive Technology, Computing, and Design: Shaping a Future in Which Technology Promotes Psychological Well-Being.” In Emotions and Affect in Human Factors and Human-Computer Interaction, 477–502. Elsevier.
  • Garfin, D. R. 2020. Technology as a Coping Tool During the COVID-19 Pandemic: Implications and Recommendations. Stress and Health.
  • Golinelli, D., E. Boetto, G. Carullo, A. G. Nuzzolese, M. P. Landini, and M. P. Fantini. 2020. “How the COVID-19 Pandemic is Favoring the Adoption of Digital Technologies in Healthcare: A Literature Review.” MedRxiv.
  • Graffigna, G., and S. Barello. 2018. “Spotlight on the Patient Health Engagement model (PHE model): A Psychosocial Theory to Understand People’s Meaningful Engagement in Their Own Health Care.” Patient Preference and Adherence 12: 1261. doi:10.2147/PPA.S145646
  • Graffigna, G., S. Barello, A. Bonanomi, and E. Lozza. 2015. “Measuring Patient Engagement: Development and Psychometric Properties of the Patient Health Engagement (PHE) Scale.” Frontiers in Psychology 6: 274. doi:10.3389/fpsyg.2015.00274
  • Graffigna, G., S. Barello, M. Savarese, L. Palamenghi, G. Castellini, A. Bonanomi, and E. Lozza. 2020. “Measuring Italian Citizens’ Engagement in the First Wave of the COVID-19 Pandemic Containment Measures: A Cross-Sectional Study.” PloS One 15 (9): e0238613. doi:10.1371/journal.pone.0238613
  • Graffigna, G., L. Palamenghi, S. Barello, M. Savarese, G. Castellini, E. Lozza, and A. Bonanomi. 2021. “Measuring Citizens’ Engagement During Emergencies: Psychometric Validation of the Public Health Engagement Scale for Emergency Settings (PHEs-E).” PloS One 16 (12): e0261733. doi:10.1371/journal.pone.0261733
  • Gruber, J., M. J. Prinstein, L. A. Clark, J. Rottenberg, J. S. Abramowitz, A. M. Albano, … L. M. Weinstock. 2020. “Mental Health and Clinical Psychological Science in the Time of COVID-19: Challenges, Opportunities, and a Call to Action.” American Psychologist. doi:10.1037/amp0000707
  • Haberman, S. J. 1973. “The Analysis of Residuals in Cross-Classified Tables.” Biometrics, 205–220. doi:10.2307/2529686
  • Hu, L. T., and P. M. Bentler. 1999. “Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria Versus New Alternatives.” Structural Equation Modeling: A Multidisciplinary Journal 6 (1): 1–55.
  • Jacques, R. D. 1996. The Nature of Engagement and its Role in Hypermedia Evaluation and Design. South Bank University.
  • Kim, Y. H., D. J. Kim, and K. Wachter. 2013. “A Study of Mobile User Engagement (MoEN): Engagement Motivations, Perceived Value, Satisfaction, and Continued Engagement Intention.” Decision Support Systems 56: 361–370. doi:10.1016/j.dss.2013.07.002
  • Koumaditis, K., C. Mousas, and F. Chinello. 2021. XR in the era of COVID-19. Behaviour & Information Technology. Taylor & Francis.
  • Lee, Y., K. A. Kozar, and K. R. T. Larsen. 2003. “The Technology Acceptance Model: Past, Present, and Future.” Communications of the Association for Information Systems 12 (1): 50.
  • Li, M., Q. Jiang, C.-H. Tan, and K.-K. Wei. 2014. “Enhancing User-Game Engagement Through Software Gaming Elements.” Journal of Management Information Systems 30 (4): 115–150. doi:10.2753/MIS0742-1222300405
  • Li, S., Y. Wang, J. Xue, N. Zhao, and T. Zhu. 2020. “The Impact of COVID-19 Epidemic Declaration on Psychological Consequences: A Study on Active Weibo Users.” International Journal of Environmental Research and Public Health 17 (6): 2032. doi:10.3390/ijerph17062032
  • Magallares, A., G. Graffigna, S. Barello, A. Bonanomi, and E. Lozza. 2017. “Spanish Adaptation of the Patient Health Engagement Scale (S. PHE-s) in Patients with Chronic Diseases.” Psicothema 29 (3): 408–413.
  • Majumdar, P., A. Biswas, and S. Sahu. 2020. “COVID-19 Pandemic and Lockdown: Cause of Sleep Disruption, Depression, Somatic Pain, and Increased Screen Exposure of Office Workers and Students of India.” Chronobiology International 37 (8): 1191–1200. doi:10.1080/07420528.2020.1786107
  • Meyer, J., C. McDowell, J. Lansing, C. Brower, L. Smith, M. Tully, and M. Herring. 2020. “Changes in Physical Activity and Sedentary Behavior in Response to COVID-19 and Their Associations with Mental Health in 3052 US Adults.” International Journal of Environmental Research and Public Health 17 (18): 6469. doi:10.3390/ijerph17186469
  • Mouratidis, K., and A. Papagiannakis. 2021. “COVID-19, Internet, and Mobility: The Rise of Telework, Telehealth, e-Learning, and e-Shopping.” Sustainable Cities and Society 74: 103182. doi:10.1016/j.scs.2021.103182
  • O’Brien, H. 2016. “Theoretical Perspectives on User Engagement.” In Why Engagement Matters, 1–26. Springer.
  • O’Brien, H. L., and E. G. Toms. 2008. “What is User Engagement? A Conceptual Framework for Defining User Engagement with Technology.” Journal of the American Society for Information Science and Technology 59 (6): 938–955. doi:10.1002/asi.20801
  • O’Brien, H. L., and E. G. Toms. 2010. “The Development and Evaluation of a Survey to Measure User Engagement.” Journal of the American Society for Information Science and Technology 61 (1): 50–69. doi:10.1002/asi.21229
  • O’brien, H. L., and E. G. Toms. 2013. “Examining the Generalizability of the User Engagement Scale (UES) in Exploratory Search.” Information Processing & Management 49 (5): 1092–1107. doi:10.1016/j.ipm.2012.08.005
  • Papouli, E., S. Chatzifotiou, and C. Tsairidis. 2020. “The Use of Digital Technology at Home During the COVID-19 Outbreak:Views of Social Work Students in Greece.” Social Work Education 39 (8): 1107–1115. doi:10.1080/02615479.2020.1807496
  • Peters, D., R. A. Calvo, and R. M. Ryan. 2018. “Designing for Motivation, Engagement and Wellbeing in Digital Experience.” Frontiers in Psychology 9: 797. doi:10.3389/fpsyg.2018.00797
  • Prieto, L., J. Alonso, and R. Lamarca. 2003. “Classical Test Theory Versus Rasch Analysis for Quality of Life Questionnaire Reduction.” Health and Quality of Life Outcomes 1 (1): 1–13. doi:10.1186/1477-7525-1-1
  • Riva, G., R. M. Baños, C. Botella, B. K. Wiederhold, and A. Gaggioli. 2012. “Positive Technology: Using Interactive Technologies to Promote Positive Functioning.” Cyberpsychology, Behavior, and Social Networking 15 (2): 69–77. doi:10.1089/cyber.2011.0139
  • Romero-Blanco, C., J. Rodríguez-Almagro, M. D. Onieva-Zafra, M. L. Parra-Fernández, M. del C. Prado-Laguna, and A. Hernández-Martínez. 2020. “Physical Activity and Sedentary Lifestyle in University Students: Changes During Confinement due to the COVID-19 Pandemic.” International Journal of Environmental Research and Public Health 17 (18): 6567. doi:10.3390/ijerph17186567
  • Seah, M., and P. Cairns. 2008. “From Immersion to Addiction in Videogames.” People and Computers XXII Culture, Creativity, Interaction 22: 55–63.
  • Seifert, A., S. R. Cotten, and B. Xie. 2021. “A Double Burden of Exclusion? Digital and Social Exclusion of Older Adults in Times of COVID-19.” The Journals of Gerontology: Series B 76 (3): e99–e103. doi:10.1093/geronb/gbaa098
  • Sharafi, P., L. Hedman, and H. Montgomery. 2006. “Using Information Technology: Engagement Modes, Flow Experience, and Personality Orientations.” Computers in Human Behavior 22 (5): 899–916. doi:10.1016/j.chb.2004.03.022
  • Sutcliffe, A., S. Thew, O. De Bruijn, I. Buchan, P. Jarvis, J. McNaught, and R. Procter. 2010. “User Engagement by User-Centred Design in e-Health.” Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 368 (1926): 4209–4224. doi:10.1098/rsta.2010.0141
  • Torous, J., J. Nicholas, M. E. Larsen, J. Firth, and H. Christensen. 2018. “Clinical Review of User Engagement with Mental Health Smartphone Apps: Evidence, Theory and Improvements.” Evidence Based Mental Health 21 (3): 116–119. doi:10.1136/eb-2018-102891
  • Townsend, A. K., D. M. Hawley, J. F. Stephenson, and K. E. G. Williams. 2020. “Emerging Infectious Disease and the Challenges of Social Distancing in Human and Non-Human Animals.” Proceedings of the Royal Society B: Biological Sciences, doi:10.1098/rspb.2020.1039.
  • Triberti, S., S. M. Kelders, and A. Gaggioli. 2018. “User Engagement.” In eHealth Research, Theory and Development, 271–289. Routledge.
  • Triberti, S., and G. Riva. 2015. “Engaging Users to Design Positive Technologies for Patient Engagement: The Perfect Interaction Model.” In Patient Engagement, 56–65. De Gruyter Open Poland.
  • van Leeuwen, M., Y. Klerks, B. Bargeman, J. Heslinga, and M. Bastiaansen. 2020. “Leisure Will Not Be Locked Down–Insights on Leisure and COVID-19 from the Netherlands.” World Leisure Journal 62 (4): 339–343. doi:10.1080/16078055.2020.1825255
  • Vargo, D., L. Zhu, B. Benwell, and Z. Yan. 2021. “Digital Technology Use During COVID-19 Pandemic: A Rapid Review.” Human Behavior and Emerging Technologies 3 (1): 13–24. doi:10.1002/hbe2.242
  • Wright, B. D., and G. N. Masters. 1982. Rating Scale Analysis. MESA press.
  • Zhang, Y., G. Graffigna, A. Bonanomi, K. Choi, S. Barello, P. Mao, and H. Feng. 2017. “Adaptation and Validation of a Chinese Version of Patient Health Engagement Scale for Patients with Chronic Disease.” Frontiers in Psychiatry 8: 104. doi:10.3389/fpsyt.2017.00104
  • Zullig, L. L., and H. Bosworth. 2017. “Engaging Patients to Optimize Medication Adherence.” NEJM Catalyst 3 (3).

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