Effects of Nudge Reflecting Day-of-Week Pattern against Induction to Walk
DOI:
https://doi.org/10.14738/assrj.81.9686Keywords:
Nudege, STL, Walking, Seasonal-trend decomposition, eHealthAbstract
This study proposes a tailored intervention method that takes individual contexts into account to increase walking steps in a sustainable way. Continuous exercise is necessary to reduce the risk of lifestyle-related diseases. However, many people are too busy to take constant exercises. Many existing approaches take enforcing ways in their support neglecting individual contexts, which prevents them to motivate individuals to exercise spontaneously. The proposed method figures out the periodicity of walking steps within every week. It regards the variation of the walking comes from inevitable contexts in the individual style of work and life. Reflecting the context, it encourages individuals with messages containing nudges. In a 4-week experiment with 13 university students, messages on days of the week of low walking succeeded in the improvement of the consciousness toward a healthy life. The use of periodicity and nudges turns out to be effective to lead individuals to sustained exercise.
References
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[2]. World Health Organization. Global action plan on physical activity 2018-2030: more active people for a healthier world. World Health Organization, 2019.
[3]. Regina Guthold, Gretchen A Stevens, Leanne M Riley, and Fiona C Bull. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1ﾂｷ 9 million participants. The Lancet Global Health, 6(10):e1077-e1086, 2018.
[4]. Jennifer R Kwapisz, Gary M Weiss, and Samuel A Moore. Activity recognition using cell phone accelerometers. ACM SigKDD Explorations Newsletter, 12(2):74–82, 2011.
[5]. Jennifer Hill, W Randolph Ford, and Ingrid G Farreras. Real conversations with artificial intelligence: A comparison between human-human online conversations and human- chatbot conversations. Computers in human behavior, 49:245-250, 2015.
[6]. Juho Hamari. Do badges increase user activity? a field experiment on the effects of gamification. Computers in human behavior, 71:469–478, 2017.
[7]. Richard H Thaler and Cass R Sunstein. Nudge: Improving decisions about health, wealth, and happiness. Penguin, 2009.
[8]. Yangjian Huang, Junkai Xu, Bo Yu, and Peter B Shull. Validity of fitbit, jawbone up, nike+ and other wearable devices for level and stair walking. Gait & Posture, 48:36–41, 2016.
[9]. S Baskar, P Mohamed Shakeel, R Kumar, MA Burhanuddin, and R Sampath. A dynamic and interoperable communication framework for controlling the operations of wearable sensors in smart healthcare applications. Computer Communications, 149:17– 26, 2020.
[10]. Abby C King, Eric B Hekler, Lauren A Grieco, Sandra J Winter, Jylana L Sheats, Matthew P Buman, Banny Banerjee, Thomas N Robinson, and Jesse Cirimele. Harness- ing different motivational frames via mobile phones to promote daily physical activity and reduce sedentary behavior in aging adults. PloS one, 8(4):e62613, 2013.
[11]. Supraja Sankaran, Paul Dendale, and Karin Coninx. Evaluating the impact of the hearthab app on motivation, physical activity, quality of life, and risk factors of coronary artery disease patients: multidisciplinary crossover study. JMIR mHealth and uHealth, 7(4):e10874, 2019.
[12]. Farshad Firouzi, Bahar Farahani, Mohamed Ibrahim, and Krishnendu Chakrabarty. Keynote paper: from eda to iot ehealth: promises, challenges, and solutions. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 37(12):2965–2978, 2018.
[13]. Farshad Firouzi, Bahar Farahani, Mohamed Ibrahim, and Krishnendu Chakrabarty. Keynote paper: from eda to iot ehealth: promises, challenges, and solutions. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 37(12):2965-2978, 2018.
[14]. Tim Althoff, Ryen W White, and Eric Horvitz. Influence of pok ́emon go on physical activity: study and implications. Journal of medical Internet research, 18(12):e315, 2016.
[15]. Peter Rasche, Anna Schlomann, and Alexander Mertens. Who is still playing pokemon go? a web-based survey. JMIR serious games, 5(2):e7, 2017.
[16]. Claudio R Nigg, Desiree Joi Mateo, and Jiyoung An. Pokemon go may increase physical activity and decrease sedentary behaviors. American journal of public health, 107(1):37, 2017.
[17]. Saurabh Bhargava and George Loewenstein. Behavioral economics and public policy 102: Beyond nudging. American Economic Review, 105(5):396–401, 2015.
[18]. Andreas Lieberoth, Niels Holm, and Thomas Bredahl. Selective psychological effects of nudging, gamification and rational information in converting commuters from cars to buses: A controlled field experiment. 2018.
[19]. Meng Li and Gretchen B Chapman. Nudge to health: Harnessing decision research to promote health behavior. Social and Personality Psychology Compass, 7(3):187–198, 2013.
[20]. Jennifer Swindell Blumenthal-Barby and Hadley Burroughs. Seeking better health care outcomes: the ethics of using the “nudge”. The American Journal of Bioethics, 12(2):1–10, 2012.
[21]. Markus Weinmann, Christoph Schneider, and Jan Vom Brocke. Digital nudging. Busi- ness & Information Systems Engineering, 58(6):433–436, 2016.
[22]. Randi Karlsen and Anders Andersen. Recommendations with a nudge. Technologies, 7(2):45, 2019.
[23]. Dennis Hummel and Alexander Maedche. How effective is nudging? a quantitative review on the effect sizes and limits of empirical nudging studies. Journal of Behavioral and Experimental Economics, 80:47–58, 2019.
[24]. Mauro Cherubini, Gabriela Villalobos-Zun ̃iga, Marc-Olivier Boldi, and Riccardo Bonazzi. The unexpected downside of paying or sending messages to people to make them walk: Comparing tangible rewards and motivational messages to improve physical activity. ACM Trans. Comput.-Hum. Interact., 27(2), 2020.
[25]. Ryan E. Rhodes, Desmond McEwan, and Amanda L. Rebar. Theories of physical activity behaviour change: A history and synthesis of approaches. Psychology of Sport and Exercise, 42:100 – 109, 2019. 50 years of FEPSAC: Current and future directions to sport and exercise Psychology research.
[26]. Susan Michie, Maartje M Van Stralen, and Robert West. The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Imple- mentation science, 6(1):42, 2011.
[27]. Robert B Cleveland, William S Cleveland, Jean E McRae, and Irma Terpenning. Stl: A seasonal-trend decomposition. Journal of official statistics, 6(1):3–73, 1990.
[28]. Song S Qian, Mark E Borsuk, and Craig A Stow. Seasonal and long-term nutrient trend decomposition along a spatial gradient in the neuse river watershed. Environmental Science & Technology, 34(21):4474–4482, 2000.
[29]. Alex V. Rowlands, Sjaan R. Gomersall, Catrine Tudor-Locke, David R. Bassett, Min- soo Kang, Fran ̧cois Fraysse, Barbara Ainsworth, and Tim S. Olds. Introducing novel approaches for examining the variability of individuals’ physical activity. Journal of Sports Sciences, 33(5):457–466, 2015.
[30]. Jeremy N Morris and Adrianne E Hardman. Walking to health. Sports medicine, 23(5):306–332, 1997.
[31]. Tim Harries, Parisa Eslambolchilar, Ruth Rettie, Chris Stride, Simon Walton, and Hugo C Van Woerden. Effectiveness of a smartphone app in increasing physical activity amongst male adults: a randomised controlled trial. BMC public health, 16(1):1–10, 2016.
[32]. Aditya Kumar Purohit and Adrian Holzer. Functional digital nudges: Identifying op- timal timing for effective behavior change. CHI EA ’19, page 1 ‒ 6, New York, NY, USA, 2019. Association for Computing Machinery.
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Published
2021-02-05
How to Cite
Mori, T., Harada, F., & Shimakawa, H. (2021). Effects of Nudge Reflecting Day-of-Week Pattern against Induction to Walk. Advances in Social Sciences Research Journal, 8(1), 610–630. https://doi.org/10.14738/assrj.81.9686
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