Technological Determinism vs. Social Shaping of Technology. The influence of activity trackers on user’s attitudes
AbstractTechnology and its influence upon society have turned into a controversial topic in today’s fast-developing world, where advances in innovation are continuous, fast, and complex. The relationship between technology and society has become an increasing interest for many researchers, trying to explore and clarify this connection. This article focuses on the psychological impact of technology, expressed through activity tracking devices, upon user’s attitudes towards pursuing an active lifestyle. To conduct the analysis, users ’ registered behavioral changes after engaging with technological devices are explored, by examining academic literature reports studies, supplemented by experimental material written by the users themselves on publicly available websites. The study proposes a deductive research design, by constructing its analysis on a relevant theoretical framework, that of Technological Determinism theory, which advocates that technology can influence society, however without being affected by humans. Nevertheless, the results of the research show that the relationship between technology and society is not that linear, as influences coming from the social environment usually interact and impact the way technology is used. This determines the consideration of an additional theoretical concept to the analysis, that of Social Shaping of Technology, and changes the dynamics of exploring the topic. Conclusions demonstrate that the relationship between user and technology can be characterized as a double-way approach, with complex and ambiguous attributes, where both forces interact and can lead to positive and constructive behavioral outcomes but also to critical and hard to control mental conditions.
Adler, P. S. (2006). Technological Determinism. In Clegg, S.,& Bailey J. R (Eds.),The International Encyclopedia of Organization Studies (2nd., 1-5) Sage.
Asimakopoulos, S., Asimakopoulos, G., & Spiller, F. (2017). Motivation and User Engagement in Fitness Tracking: Heuristics for Mobile Healthcare Wearables. Informatics, 4(1), 2-16. https://doi.org/10.3390/informatics4010005.
Bratianu, C., Hadad, S., & Bejinaru, R. (2020). Paradigm shift in business education: a competence-based approach. Sustainability, 12(4,), 1348-1365. https://doi.org/10.3390/su12041348.
Bratianu, C., & Vasilache, S. (2009). Evaluating linear-nonlinear thinking style for knowledge management education. Management & Marketing, 4(3), 3-18.
Caulfield, J. (2019). How To Do Thematic Analysis. A Step-By-Step Guide & Examples. Scribbr. https://www.scribbr.com/methodology/thematic-analysis/
Chandler, D. (2000). Technological or Media Determinism. Aberystwyth University. Retrieved December 1, 2010, from http://www.aber.ac.uk/media/Documents/tecdet/tecdet.html.
Cialdini, R. B. (2001). Influence: Science and practice. Allyn & Bacon.
Communication Theory. (n.d.). Technological Determinism. https://www.communicationtheory.org/technological-determinism
Connell, J.P. (in press). Context, self and action: A motivational analysis of self-system processes across the life-span. In D, Cicchetti (ed), The self in transition: From infancy to childhood. University of Chicago Press.
Coorevits, L,. & Coenen, T. (2016). The rise and fall of Wearable Fitness Trackers. Academy of Management Annual Meeting Proceedings, 2016(1). https://doi.org/10.5465/ambpp.2016.17305abstract
Cox, C. (2019, April, 19). The Dark Side Of Fitness Tracking. Medium. Available at: https://elemental.medium.com/the-dark-side-of-fitness-tracking-9b218989bc47
Dafoe, A. (2015). On Technological Determinism: A Typology, Scope Conditions, And A Mechanism. SAGE Journals. https://journals.sagepub.com/doi/abs/10.1177/0162243915579283?casa_token=mu1EdnAeXAcAAAAA:TBdLKYd3_OvhZZOrpow9PzqG7zz8cDwf33uSPBYdiUoALLRi9tb3JM6us6uS1tFWMUrCrGEM5cN5dA
Deci, E. L,. & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. Plenum Press.
Cambridge Dictionary. (n.d.). The Cambridge English Dictionary. Retrieved August 2, 2020, from https://dictionary.cambridge.org/us/dictionary/english/trend
Cambridge Dictionary. (n.d. ). The Cambridge English Dictionary. Retrieved from July 3, 2020, from https://dictionary.cambridge.org/dictionary/english/anxiety
Donnachie, C., Wyke, S., Mutrie, N., Hunt, K., (2017). It’s like a personal motivator that you carried around wi’ you’: utilising self-determination theory to understand men’s experiences of using pedometers to increase physical activity in a weight management programme. Int J Behav Nutr Phys Act, 14(61), 1-14. https://doi.org/10.1186/s12966-017-0505-z
Dunne, L. E. (2004). The design of wearable technology: addressing the human-device interface through functional apparel design [Master’s thesis, Cornell University]. Cornell University Digital Archive. https://ecommons.cornell.edu/handle/1813/150
Edge, D. (1988). The social shaping of technology. Edinburgh PICT Working Paper, 1, Edinburgh University.
Etkin, J. (2016). The Hidden Cost of Personal Quantification. Journal of Consumer Research, 42(6), 967-984, https://doi.org/ 10.1093/JCR/UCV095.
Feenberg, A. (1992). Subversive rationalization: Technology, power, and democracy. Inquiry: An Interdisciplinary Journal of Philosophy, 35(3-4), 301-32. https://doi.org/10.1080/00201749208602296.
Community.fitbit.com. (2020, September 6). Fitbit Community.: https://community.fitbit.com/t5/Community/ct-p/EN
Freeman, C., & Soete, L. (2008). A Economia Da Inovação Industrial. Unicamp. Campinas. SP.
Fritz, T., Huang, E. M., Murphy, G. C., & Zimmerman, T. (2013). Persuasive technology in the real world: A study of long-term use of activity sensing devices for fitness [Conference session].Proceedings of the ACM Conference on Human Factors in Computing Systems. https://doi.org/10.1145/2556288.2557383.
Galalae, C., & Voicu, A. (2013). Consumer Behaviour Research: Jacquard Weaving in the Social Sciences. Management Dynamics in the Knowledge Economy, 1(2), 277-292.
Gartner (2016, December 7). Gartner Survey Shows Wearable Devices Need To Be More Useful. https://www.gartner.com/en/newsroom/press-releases/2016-12-07-gartner-survey-shows-wearable-devices-need-to-be-more-useful
Giddens, L., Gonzalez, E. & Leidner, D. (2019, June 12). Unintended Consequences of Wearable Fitness Devices in Corporate Wellness Programs [Conference session]. Proceedings of the 2019 on Computers and People Research Conference. https://doi.org/10.1145/3322385.3322416
Hawkins, D. I., & Mothersbaugh, D. L. (2010). Consumer Behavior: Building Marketing Strategy (11th ed). McGraw-Hill.
Hein D., Rauschnabel P. (2016). Augmented Reality Smart Glasses and Knowledge Management: A Conceptual Framework for Enterprise Social Networks. In Rossmann A., Stei G., & Besch M. (Eds.), Enterprise Social Networks (2nd., pp 83-109). Springer Gabler. https://doi.org/10.1007/978-3-658-12652-0_5
Johnson, D., Bardhi, F., & Dunn, D. (2008). Understanding how technology paradoxes affect customer satisfaction with self-service technology: The role of performance ambiguity and trust in technology. Psychology&Marketing, 25(5), 416-443. https://doi.org/ 10.1002/mar.20218.
Karahanoglu, A., & Erbug, C. (2011). Perceived qualities of smart wearables: determinants of user acceptance [Conference session]. Proceedings of the 2011 Conference on Designing Pleasurable Products and Interfaces. https://doi.org/10.1145/2347504.2347533.
Karapanos, E., Gouvela, R., Hassenzahl, M., & Forlizzi, J. (2016). Wellbeing in the Making: People’s Experiences with Wearable Activity Trackers. Psychology of Well-being, 4(6), 1-33. https:// 10.1186/s13612-016-0042-6.
Ledger, D., & McCaffrey, D. (2014). Inside wearables: How the science of human behavior change offers the secret to long-term engagement. Cambridge
Loomba, S. & Khairnar, A. (2018, April 25). Fitness Trackers Market by Device Type (Fitness Bands, Smartwatch, and Others), Display Type (Monochrome and Colored), Sales Channel (Online and Offline), and Compatibility (iOS, Android, Windows, Tizen, and Others). Global Opportunity Analysis and Industry Forecast. https://www.alliedmarketresearch.com/fitness-tracker-market
Lunney, A., Cunningham, N. R., & Eastin, M. S. (2016). Wearable fitness technology: a structural investigation into acceptance and perceived fitness outcomes. Computers in Human Behavior, 65, 114-120.
Notthoff, N., & Carstensen, L. L. (2014). Positive messaging promotes walking in older adults. Psychol Aging, 29(2), 329-341. https://doi.org/10.1037/a0036748.
Page, T. (2015). A Forecast of the Adoption of Wearable Technology.. International Journal of Technology Diffusion, 6(2), 12–29. https://doi.org/10.4018/978-1-5225-5484-4.ch063
Pinch, T. J., & Bijker, W. E. (1984). The Social Construction of Facts and Artefacts: Or How the Sociology of Science and the Sociology of Technology might Benefit Each Other. Social Studies of Science, 14, 399-441, https://doi.org/10.1177/030631284014003004
Punch, K. F. (2005). Introduction to Social Research- Quantitative and Qualitative Approaches (2nd ed.). Sage Publications.
Statepress.com (2016, June 17). The Darker Side Of Fitness Wearables. The Arizona State Press. https://www.statepress.com/article/2016/02/nothing-comes-without- drawbacks-not-even-your-fitbit#
Sullivan, A. N., & Lachman, M. E. (2017). Behavior change with fitness technology in sedentary adults: a review of the evidence for increasing physical activity. Frontiers in public health, 4, 289. https://doi.org/ 10.3389/fpubh.2016.00289
Rogers, E. M. (2003). Diffusion of Innovations( 5th ed.). Free Press.
Ryan, R., & Deci, E. (2000). Self-Determination Theory and the Facilitation of Intrinsic Motivation, Social Development, and Well-Being. American Psychologist, 55(1), 68-78, https://doi.org/10.1037110003-066X.55.1.68
Ryan, R. M., & Connell, J. P. (1989). Perceived Locus of Causality and Internalization: Examining Reasons for Acting in Two Domains. Journal of Personality and Social Psychology, 57, 749–761. https://doi.org/10.1037//0022-35126.96.36.1999
Sheldon, K. M., Elliot, A .J., Kim, & Y., Kasser, T., (2001). What is satisfying about satisfying events? Testing 10 candidate psychological needs. Journal of Personality and Social Psychology, 80(2), 325–339. https://doi.org/10.1037/0022-35188.8.131.525
Shin, G., & Jarrahi, M. (2013). Studying the Role of Wearable Health-Tracking Devices in Raising Users’ Self-Awareness and Motivating Physical Activities. https://wish2014.files.wordpress.com/2014/10/sub-12shin_jarrahi_wish_workshop_paper_2014.pdf
Streefkerk, R. (2019). Inductive Vs. Deductive Research Approach (With Examples). Scribbr. https://www.scribbr.com/methodology/inductive-deductive-reasoning/
Sunrise House. (2019). Obsessive Vs Compulsive Behavior. Sunrise House. https://sunrisehouse.com/obsessive-compulsive-disorder/comparing-behavior/
Talukder, M., Chiong, R., Bao, Y., & Hayat Malik, B. (2019). Acceptance and use predictors of fitness wearable technology and intention to recommend: An empirical study, Industrial Management & Data Systems, 119(1), 170-188.
Thompson, W. R. (2019). ‘Worldwide survey of fitness trends for 2020. ACSM’s Health&Fitness Journal, 23(6), 10-18. https://doi.org/ 10.1249/FIT.0000000000000526
Thompson, W .R. (2018). Worldwide survey of fitness trends for 2019. ACSM’s Health&Fitness Journal, 22(6), 10-17. https://doi.org/10.1249/FIT.0000000000000438
Walton, S. A. (2019). Technological Determinism(s) and the Study of War. Vulcan, 7(1), 4-18. http://doi.org/10.1163/22134603-00701003
Widman, J. (2020). What is Reddit?. Digitaltrends.com. https://www.digitaltrends.com/web/what-is-reddit/
Williams, R., & Edge, D. (1996). The social shaping of technology’, Research Policy, 25, 865-899. https://doi.org/10.1016/0048-7333(96)00885-2.
Worldpopulationreview.com. (2020). Depression Rates By Country 2020. https://worldpopulationreview.com/country-rankings/depression-rates-by-country
Wright, R., & Keith, L. (2014). Wearable technology: if the tech fits, wear it. Journal of Electronic Resources in Medical Libraries, 11(4), 204-216, https://doi.org/10.1080/15424065.2014.969051
Wu, Q., Sum, K., & Nathan-Roberts, D. (2016). How Fitness Trackers Facilitate Health Behaviour Change. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 60(1), 1068-1072. https://doi.org/10.1177/1541931213601247.
Yin, R. K. (1994). Case Study Research Design and Methods: Applied Social Research and Methods Series(2nd ed.). Sage Publications Inc.
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