Bibliography
Alshawmar, M., Hall-Phillips, A., & Tulu, B. (2022). Influence of personality traits on the continued use of fitness apps. Proceedings of the 55th Hawaii International Conference on System Sciences.
Amichai-Hamburger, Y., & Ben-Artzi, E. (2003). Loneliness and Internet use. Computers in Human Behavior, 19(1), 71–80. https://doi.org/10.1016/s0747-5632(02)00014-6 Amichai-Hamburger, Y., & Vinitzky, G. (2010). Social network use and
personality. Computers in Human Behavior, 26(6), 1289–1295.
https://doi.org/10.1016/j.chb.2010.03.018
Amichai-Hamburger, Y., Wainapel, G., & Fox, S. (2002). “On the Internet no one knows I’m an introvert”: Extroversion, neuroticism, and Internet interaction. CyberPsychology &
Behavior, 5(2), 125–128. https://doi.org/10.1089/109493102753770507
Ang, C. (2020). Fitness apps grew by nearly 50% during the first half of 2020, study finds.
World Economic Forum. https://www.weforum.org/agenda/2020/09/fitness-apps-gym-health-downloads/
Antezana, G., Venning, A., Smith, D., & Bidargaddi, N. (2022). Do young men and women differ in well-being apps usage? Findings from a randomised trial. Health Informatics Journal, 28(1), 1–14. https://doi.org/10.1177/14604582211064825
Anvari, F., Richards, D., Hitchens, M., Babar, M. A., Tran, H. M. T., & Busch, P. (2017). An empirical investigation of the influence of persona with personality traits on conceptual design. Journal of Systems and Software, 134, 324–339.
https://doi.org/10.1016/j.jss.2017.09.020
Ardies, J., De Maeyer, S., Gijbels, D., & Van Keulen, H. (2015). Students’ attitudes towards technology. International Journal of Technology and Design Education, 25(1), 43–65.
https://doi.org/10.1007/s10798-014-9268-x
Baker, R. K., & White, K. M. (2010). Predicting adolescents’ use of social networking sites from an extended theory of planned behaviour perspective. Computers in Human Behavior, 26(6), 1591–1597. https://doi.org/10.1016/j.chb.2010.06.006
Bandura, A. (1977). Social learning theory. Englewood Cliffs, N.J. Prentice-Hall.
Barratt, P. (2017). Healthy competition: A qualitative study investigating persuasive technologies and the gamification of cycling. Health & Place, 46, 328–336.
https://doi.org/10.1016/j.healthplace.2016.09.009
Beldad, A. D., & Hegner, S. M. (2017). Expanding the technology acceptance model with the inclusion of trust, social influence, and health valuation to determine the predictors of German users’ willingness to continue using a fitness app: A structural equation modeling approach. International Journal of Human–Computer Interaction, 34(9), 882–893. https://doi.org/10.1080/10447318.2017.1403220
Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351–370. https://doi.org/10.2307/3250921 Bowden-Green, T., Hinds, J., & Joinson, A. (2021). Understanding neuroticism and social
media: A systematic review. Personality and Individual Differences, 168, 110344.
https://doi.org/10.1016/j.paid.2020.110344
Brinson, N. H., & Rutherford, D. N. (2020). Privacy and the quantified self: A review of U.S.
health information policy limitations related to wearable technologies. Journal of Consumer Affairs, 54, 1355–1374. https://doi.org/10.1111/joca.12320
Butt, S., & Phillips, J. G. (2008). Personality and self reported mobile phone use. Computers in Human Behavior, 24(2), 346–360. https://doi.org/10.1016/j.chb.2007.01.019
Byerly, T. R., Hill, P. C., & Edwards, K. J. (2022). Others-centeredness: A uniquely positive tendency to put others first. Personality and Individual Differences, 186, 1–10.
Cai, Z., Fan, X., & Du, J. (2017). Gender and attitudes toward technology use: A
meta-analysis. Computers & Education, 105, 1–13.
https://doi.org/10.1016/j.compedu.2016.11.003
Cavallo, D. N., Tate, D. F., Ries, A. V., Brown, J. D., DeVellis, R. F., & Ammerman, A. S.
(2012). A social media-based physical activity intervention: A randomized controlled trial. American Journal of Preventive Medicine, 43(5), 527–532.
https://doi.org/10.1016/j.amepre.2012.07.019
Chen, Y., & Pu, P. (2014). HealthyTogether: Exploring social incentives for mobile fitness applications. Proceedings of the Second International Symposium of Chinese CHI on - Chinese CHI ’14. https://doi.org/10.1145/2592235.2592240
Cheung, C. M. K., Chiu, P.-Y., & Lee, M. K. O. (2011). Online social networks: Why do students use Facebook? Computers in Human Behavior, 27(4), 1337–1343.
https://doi.org/10.1016/j.chb.2010.07.028
Cheung, C. M. K., & Lee, M. K. O. (2010). A theoretical model of intentional social action in online social networks. Decision Support Systems, 49(1), 24–30.
https://doi.org/10.1016/j.dss.2009.12.006
Chittaranjan, G., Blom, J., & Gatica-Perez, D. (2013). Mining large-scale smartphone data for personality studies. Personal and Ubiquitous Computing, 17(3), 433–450.
https://doi.org/10.1007/s00779-011-0490-1
Chiu, C.-M., Hsu, M.-H., & Wang, E. T. G. (2006). Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive
theories. Decision Support Systems, 42(3), 1872–1888.
https://doi.org/10.1016/j.dss.2006.04.001
Cho, J. (2016). The impact of post-adoption beliefs on the continued use of health apps. International Journal of Medical Informatics, 87, 75–83.
https://doi.org/10.1016/j.ijmedinf.2015.12.016
Choi, T. R., Sung, Y., Lee, J.-A., & Choi, S. M. (2017). Get behind my selfies: The Big Five traits and social networking behaviors through selfies. Personality and Individual Differences, 109, 98–101. https://doi.org/10.1016/j.paid.2016.12.057
Cialdini, R. B. (2009). Influence: Science and practice. Pearson Education, Boston, MA.
Cialdini, R. B., & Goldstein, N. J. (2004). Social influence: Compliance and conformity. Annual Review of Psychology, 55(1), 591–621.
https://doi.org/10.1146/annurev.psych.55.090902.142015
Cialdini, R. B., Green, B. L., & Rusch, A. J. (1992). When tactical pronouncements of change become real change: The case of reciprocal persuasion. Journal of Personality and Social Psychology, 63(1), 30–40. https://doi.org/10.1037/0022-3514.63.1.30
Clawson, J., Pater, J. A., Miller, A. D., Mynatt, E. D., & Mamykina, L. (2015). No longer wearing: Investigating the abandonment of personal health-tracking technologies on Craigslist. Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing - UbiComp ’15, 647–658.
https://doi.org/10.1145/2750858.2807554
Correa, T., Hinsley, A. W., & de Zúñiga, H. G. (2010). Who interacts on the web? The intersection of users’ personality and social media use. Computers in Human Behavior, 26(2), 247–253. https://doi.org/10.1016/j.chb.2009.09.003
Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. Springer Science & Business Media. https://doi.org/10.1007/978-1-4899-2271-7
Deng, S., Liu, Y., Li, H., & Hu, F. (2013). How does personality matter? An investigation of the impact of extraversion on individuals’ SNS use. Cyberpsychology, Behavior, and Social Networking, 16(8), 575–581. https://doi.org/10.1089/cyber.2012.0383
Dessart, L., & Duclou, M. (2019). Health and fitness online communities and product behaviour. Journal of Product & Brand Management, 28(2), 188–199.
https://doi.org/10.1108/jpbm-12-2017-1710
Digman, J. M. (1990). Personality structure: Emergence of the five-factor model. Annual
Review of Psychology, 41(1), 417–440.
https://doi.org/10.1146/annurev.ps.41.020190.002221
Egli, T., Bland, H. W., Melton, B. F., & Czech, D. R. (2011). Influence of age, sex, and race on college students’ exercise motivation of physical activity. Journal of American College Health, 59(5), 399–406. https://doi.org/10.1080/07448481.2010.513074 Ellison, N. B., Steinfield, C., & Lampe, C. (2007). The benefits of Facebook “friends:” Social
capital and college students’ use of online social network sites. Journal of Computer-Mediated Communication, 12(4), 1143–1168. https://doi.org/10.1111/j.1083-6101.2007.00367.x
Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). Sage Publications.
Foy, T., Dwyer, R. J., Nafarrete, R., Hammoud, M. S. S., & Rockett, P. (2019). Managing job performance, social support and work-life conflict to reduce workplace stress. International Journal of Productivity and Performance Management, 68(6).
https://doi.org/10.1108/ijppm-03-2017-0061
Gil de Zúñiga, H., Diehl, T., Huber, B., & Liu, J. (2017). Personality traits and social media use in 20 countries: How personality relates to frequency of social media use, social media news use, and social media use for social interaction. Cyberpsychology,
Behavior, and Social Networking, 20(9), 540–552.
https://doi.org/10.1089/cyber.2017.0295
Giles-Corti, B., & Donovan, R. J. (2002). The relative influence of individual, social and physical environment determinants of physical activity. Social Science &
Medicine, 54(12), 1793–1812. https://doi.org/10.1016/s0277-9536(01)00150-2
Gross, E. F., Juvonen, J., & Gable, S. L. (2002). Internet use and well-being in adolescence. Journal of Social Issues, 58(1), 75–90. https://doi.org/10.1111/1540-4560.00249
Guadagno, R. E., Okdie, B. M., & Eno, C. A. (2008). Who blogs? Personality predictors of blogging. Computers in Human Behavior, 24(5), 1993–2004.
https://doi.org/10.1016/j.chb.2007.09.001
Habashi, M. M., Graziano, W. G., & Hoover, A. E. (2016). Searching for the prosocial personality: A Big Five approach to linking personality and prosocial behavior. Personality and Social Psychology Bulletin, 42(9), 1177–1192.
https://doi.org/10.1177/0146167216652859
Hakim, L. N., Santoso, G. A., Takwin, B., Sunitiyoso, Y., & Abraham, J. (2021). Group decision quality, conscientiousness and competition. Cogent Psychology, 8(1).
https://doi.org/10.1080/23311908.2021.1872907
Halko, S., & Kientz, J. A. (2010). Personality and persuasive technology: An exploratory study on health-promoting mobile applications. Persuasive Technology, 5th International Conference, 150–161. https://doi.org/10.1007/978-3-642-13226-1_16
Hamari, J., Hassan, L., & Dias, A. (2018). Gamification, quantified-self or social networking?
Matching users’ goals with motivational technology. User Modeling and User-Adapted Interaction, 28(4), 35–74. https://doi.org/10.1007/s11257-018-9200-2
Hamari, J., & Koivisto, J. (2015). “Working out for likes”: An empirical study on social influence in exercise gamification. Computers in Human Behavior, 50, 333–347.
https://doi.org/10.1016/j.chb.2015.04.018
Hamari, J., Koivisto, J., & Sarsa, H. (2014). Does gamification work? -- A literature review of empirical studies on gamification. Proceedings of the Annual Hawaii International Conference on System Sciences, 3025–3034. https://doi.org/10.1109/hicss.2014.377 Hamburger, Y. A., & Ben-Artzi, E. (2000). The relationship between extraversion and
neuroticism and the different uses of the Internet. Computers in Human Behavior, 16(4), 441–449. https://doi.org/10.1016/s0747-5632(00)00017-0
Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis:
A regression-based approach. (2nd ed.). Guilford Publications.
Hong, S., & Oh, S. K. (2020). Why people don’t use Facebook anymore? An investigation into the relationship between the Big Five personality traits and the motivation to leave Facebook. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.01497 Hsieh, J. J. P.-A., Rai, A., & Keil, M. (2008). Understanding digital inequality: Comparing
continued use behavioral models of the socio-economically advantaged and disadvantaged. MIS Quarterly, 32(1), 97–126. https://doi.org/10.2307/25148830 Huang, C.-K., Chen, C.-D., & Liu, Y.-T. (2019). To stay or not to stay? Discontinuance
intention of gamification apps. Information Technology & People, 32(6), 1423–1445.
https://doi.org/10.1108/itp-08-2017-0271
Islam, N., Mäntymäki, M., & Benbasat, I. (2019). Duality of self-promotion on social networking sites. Information Technology & People, 32(2), 269–296.
https://doi.org/10.1108/itp-07-2017-0213
James, T. L., Wallace, L., & Deane, J. K. (2019). Using organismic integration theory to explore the associations between users’ exercise motivations and fitness technology
feature set use. MIS Quarterly, 43(1), 287–312.
https://doi.org/10.25300/misq/2019/14128
John, O. P., & Srivastava, S. (1999). The Big Five trait taxonomy: History, measurement, and theoretical perspectives (2nd ed., pp. 102–138). New York: Springer.
Jones, M., & Alony, I. (2008). Blogs – The new source of data analysis. Issues in Informing Science and Information Technology, 5, 433–446. https://doi.org/10.28945/1019 Kandler, C., Zimmermann, J., & McAdams, D. P. (2014). Core and surface characteristics for
the description and theory of personality differences and development. European Journal of Personality, 28(3), 231–243. https://doi.org/10.1002/per.1952
Kelman, H. C. (1958). Compliance, identification, and internalization: Three processes of attitude change. Journal of Conflict Resolution, 2(1), 51–60.
https://doi.org/10.1177/002200275800200106
Kelman, H. C. (1961). Processes of opinion change. Public Opinion Quarterly, 25(1), 57–78.
https://doi.org/10.1086/266996
Kimbrough, A. M., Guadagno, R. E., Muscanell, N. L., & Dill, J. (2013). Gender differences in mediated communication: Women connect more than do men. Computers in Human Behavior, 29(3), 896–900. https://doi.org/10.1016/j.chb.2012.12.005
Kraut, R., Kiesler, S., Boneva, B., Cummings, J., Helgeson, V., & Crawford, A. (2002).
Internet paradox revisited. Journal of Social Issues, 58(1), 49–74.
https://doi.org/10.1111/1540-4560.00248
Landers, R. N., & Lounsbury, J. W. (2006). An investigation of Big Five and narrow personality traits in relation to Internet usage. Computers in Human Behavior, 22(2), 283–293. https://doi.org/10.1016/j.chb.2004.06.001
Lane, W., & Manner, C. (2012). The influence of personality traits on mobile phone application preferences. Journal of Economics and Behavioral Studies, 4(5), 252–260.
https://doi.org/10.22610/jebs.v4i5.325
Leng, J., Guo, Q., Ma, B., Zhang, S., & Sun, P. (2020). Bridging personality and online prosocial behavior: The roles of empathy, moral identity, and social self-efficacy. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.575053 Lin, C.-P., & Bhattacherjee, A. (2009). Understanding online social support and its
antecedents: A socio-cognitive model. The Social Science Journal, 46(4), 724–737.
https://doi.org/10.1016/j.soscij.2009.03.004
Lin, C.-W., Mao, T.-Y., Huang, Y.-C., Sia, W. Y., & Yang, C.-C. (2020). Exploring the Adoption of Nike+ Run Club App: An Application of the Theory of Reasoned
Action. Mathematical Problems in Engineering, 1–7.
https://doi.org/10.1155/2020/8568629
Lin, H.-F. (2008). Determinants of successful virtual communities: Contributions from system characteristics and social factors. Information & Management, 45(8), 522–527.
https://doi.org/10.1016/j.im.2008.08.002
Lin, K.-Y., & Lu, H.-P. (2011). Why people use social networking sites: An empirical study integrating network externalities and motivation theory. Computers in Human Behavior, 27(3), 1152–1161. https://doi.org/10.1016/j.chb.2010.12.009
Lomborg, S. (2014). Social media, social genres: Making sense of the ordinary. Routledge.
Lomborg, S., & Frandsen, K. (2015). Self-tracking as communication. Information,
Communication & Society, 19(7), 1015–1027.
https://doi.org/10.1080/1369118x.2015.1067710
Lupton, D. (2016). The quantified self: A sociology of self-tracking (1st ed.). Polity Press.
http://au.wiley.com/WileyCDA/WileyTitle/productCd-1509500634.html
Marcolino, M. S., Oliveira, J. A. Q., D’Agostino, M., Ribeiro, A. L., Alkmim, M. B. M., &
Novillo-Ortiz, D. (2018). The impact of mHealth interventions: Systematic review of systematic reviews. JMIR MHealth and UHealth, 6(1), 1–11.
https://doi.org/10.2196/mhealth.8873
McCall, K. (2016). How to get more kudos. Strava. https://blog.strava.com/how-to-get-more-kudos-12482/
McCrae, R. R., & Costa, P. T. (1997). Personality trait structure as a human universal.
American Psychologist, 52(5), 509–516. https://doi.org/10.1037/0003-066x.52.5.509 Molanorouzi, K., Khoo, S., & Morris, T. (2015). Motives for adult participation in physical
activity: Type of activity, age, and gender. BMC Public Health, 15(66), 1–12.
https://doi.org/10.1186/s12889-015-1429-7
Morgan, C. F., McKenzie, T. L., Sallis, J. F., Broyles, S. L., Zive, M. M., & Nader, P. R. (2003).
Personal, social, and environmental correlates of physical activity in a bi-ethnic sample of adolescents. Pediatric Exercise Science, 15(3), 288–301.
https://doi.org/10.1123/pes.15.3.288
Morris, T., Clayton, H., Power, H., & Han, J. (1995). Activity type differences in participation motives. Australian Journal of Psychology, 47, 101–102.
Mouakket, S. (2018). The role of personality traits in motivating users’ continuance intention towards Facebook: Gender differences. Journal of High Technology Management Research, 29(1), 124–140. https://doi.org/10.1016/j.hitech.2016.10.003
Ong, C.-S., & Lai, J.-Y. (2006). Gender differences in perceptions and relationships among dominants of e-learning acceptance. Computers in Human Behavior, 22(5), 816–829.
https://doi.org/10.1016/j.chb.2004.03.006
Ong, E. Y. L., Ang, R. P., Ho, J. C. M., Lim, J. C. Y., Goh, D. H., Lee, C. S., & Chua, A. Y.
Facebook. Personality and Individual Differences, 50(2), 180–185.
https://doi.org/10.1016/j.paid.2010.09.022
Pinkerton, S., Tobin, J. L., Querfurth, S. C., Pena, I. M., & Wilson, K. S. (2017). “Those sweet, sweet likes”: Sharing physical activity over social network sites. Computers in Human Behavior, 69, 128–135. https://doi.org/10.1016/j.chb.2016.12.028c
Pollet, T. V., Roberts, S. G. B., & Dunbar, R. I. M. (2011). Extraverts have larger social network layers: But do not feel closer to individuals at any layer. Journal of Individual Differences, 32(3), 161–169. https://doi.org/10.1027/1614-0001/a000048
Pornsakulvanich, V. (2017). Personality, attitudes, social influences, and social networking site usage predicting online social support. Computers in Human Behavior, 76, 255–262.
https://doi.org/10.1016/j.chb.2017.07.021
Ross, C., Orr, E. S., Sisic, M., Arseneault, J. M., Simmering, M. G., & Orr, R. R. (2009).
Personality and motivations associated with Facebook use. Computers in Human Behavior, 25(2), 578–586. https://doi.org/10.1016/j.chb.2008.12.024
Rupp, M. A., Michaelis, J. R., McConnell, D. S., & Smither, J. A. (2018). The role of individual differences on perceptions of wearable fitness device trust, usability, and motivational impact. Applied Ergonomics, 70, 77–87. https://doi.org/10.1016/j.apergo.2018.02.005 Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic
motivation, social development, and well-being. American Psychologist, 55(1), 68–78.
https://doi.org/10.1037/0003-066x.55.1.68
Sáinz, M., & López-Sáez, M. (2010). Gender differences in computer attitudes and the choice of technology-related occupations in a sample of secondary students in
Spain. Computers & Education, 54(2), 578–587.
https://doi.org/10.1016/j.compedu.2009.09.007
Seidman, G. (2013). Self-presentation and belonging on Facebook: How personality influences social media use and motivations. Personality and Individual Differences, 54(3), 402–
407. https://doi.org/10.1016/j.paid.2012.10.009
Shaban, H. (2021). The pandemic’s home-workout revolution may be here to stay. Washington Post. https://www.washingtonpost.com/road-to-recovery/2021/01/07/home-fitness-boom/
Shannon, J. (2021). Strava’s group challenges lets you compete against friends. Coach.
https://www.coachmag.co.uk/fitness-apps/8942/strava-group-challenges
Shi, Y., Yue, X., & He, J. (2013). Understanding social network sites (SNSs) preferences:
Personality, motivation, and happiness matters. Online Communities and Social Computing, 94–103. https://doi.org/10.1007/978-3-642-39371-6_11
Skinner, B. F. (1963). Operant behavior. American Psychologist, 18(8), 503–515.
https://doi.org/10.1037/h0045185
Sledgianowski, D., & Kulviwat, S. (2009). Using social network sites: The effects of playfulness, critical mass and trust in a hedonic context. Journal of Computer Information Systems, 49(4), 74–83.
Stragier, J., Vanden Abeele, M., Mechant, P., & De Marez, L. (2016). Understanding persistence in the use of Online Fitness Communities: Comparing novice and experienced users. Computers in Human Behavior, 64, 34–42.
https://doi.org/10.1016/j.chb.2016.06.013
Swickert, R. J., Rosentreter, C. J., Hittner, J. B., & Mushrush, J. E. (2002). Extraversion, social support processes, and stress. Personality and Individual Differences, 32(5), 877–891.
https://doi.org/10.1016/s0191-8869(01)00093-9
Tackett, J. L., & Lahey, B. B. (2016). Neuroticism. In Oxford Handbooks Online. Oxford
Tan, C.-S., Low, S.-K., & Viapude, G. N. (2018). Extraversion and happiness: The mediating role of social support and hope. PsyCh Journal, 7(3), 133–143.
https://doi.org/10.1002/pchj.220
Tong, S. T., Van Der Heide, B., Langwell, L., & Walther, J. B. (2008). Too much of a good thing? The relationship between number of friends and interpersonal impressions on Facebook. Journal of Computer-Mediated Communication, 13(3), 531–549.
https://doi.org/10.1111/j.1083-6101.2008.00409.x
Unal, P., Temizel, T. T., & Eren, P. E. (2017). What installed mobile applications tell about their owners and how they affect users’ download behavior. Telematics and Informatics, 34(7), 1153–1165. https://doi.org/10.1016/j.tele.2017.05.005
Vaghefi, I., & Tulu, B. (2019). The continued use of mobile health apps: Insights from a longitudinal study. JMIR MHealth and UHealth, 7(8), 1–11.
https://doi.org/10.2196/12983
Valkenburg, P. M., Schouten, A. P., & Peter, J. (2005). Adolescents’ identity experiments on the Internet. New Media & Society, 7(3), 383–402.
https://doi.org/10.1177/1461444805052282
Vallerand, R. J., & Losier, G. F. (1999). An integrative analysis of intrinsic and extrinsic motivation in sport. Journal of Applied Sport Psychology, 11(1), 142–169.
Vannoy, S. A., & Palvia, P. (2010). The social influence model of technology
adoption. Communications of the ACM, 53(6), 149–153.
https://doi.org/10.1145/1743546.1743585
Weiser, E. B. (2000). Gender differences in Internet use patterns and Internet application preferences: A two-sample comparison. CyberPsychology & Behavior, 3, 167–178.
https://doi.org/10.1089/109493100316012
Whelan, E., & Clohessy, T. (2021). How the social dimension of fitness apps can enhance and undermine wellbeing. Information Technology & People, 34(1), 68–92.
https://doi.org/10.1108/itp-04-2019-0156
Xu, R., Frey, R. M., Fleisch, E., & Ilic, A. (2016). Understanding the impact of personality traits on mobile app adoption – Insights from a large-scale field study. Computers in Human Behavior, 62, 244–256. https://doi.org/10.1016/j.chb.2016.04.011
Yau, H. K., & Cheng, A. L. F. (2012). Gender difference of confidence in using technology for
learning. The Journal of Technology Studies, 38(2).
https://doi.org/10.21061/jots.v38i2.a.2
Zhang, P. (2008). Motivational affordances: Fundamental reasons for ICT design and
use. Communications of the ACM, 51(11), 145–147.
https://doi.org/10.1145/1400214.1400244
Zhou, L., Bao, J., & Parmanto, B. (2017). Systematic review protocol to assess the effectiveness of usability questionnaires in mHealth app studies. JMIR Research Protocols, 6(8), 1–7. https://doi.org/10.2196/resprot.7826
Zywica, J., & Danowski, J. (2008). The faces of Facebookers: Investigating social enhancement and social compensation hypotheses. Journal of Computer-Mediated Communication, 14(1), 1–34. https://doi.org/10.1111/j.1083-6101.2008.01429.x
Appendices
Appendix 1: Survey
Structure of the survey
1. Introduction & informed consent 2. Demographic information 3. Assessment of personality type 4. Assessment of physical activity 5. Assessment of app usage status
6. Assessment of app usage frequency (conditional question) 7. Assessment of app usage duration (conditional question) 8. Scenario
9. Recognition, reciprocal benefits, and network exposure 10. App usage continuation intention
11. Debrief
1. Introduction and informed consent
2. Demographic information
3. Assessment of personality type
4. Assessment of physical activity
5. Assessment of app usage status
6. Assessment of app usage frequency (conditional question; in case answer 1 has been selected in question 6)
7. Assessment of app usage duration (conditional question; in case answer 1 has been selected in question 6)
8. Scenario
9. Recognition, reciprocal benefits, and network exposure
10. App usage continuation intention
11. Debrief
Appendix 2: Demographics
Variable Level # of subjects % of subjects
Gender Female
Male Non-binary
115 63 4
63.2 34.6 2.2
Age 18
19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 37
1 1 4 25 29 19 26 20 15 7 4 4 4 1 2 3 1 1 4
0.5 0.5 2.2 13.7 15.9 10.4 14.3 11.0 8.2 3.8 2.2 2.2 2.2 0.5 1.1 1.6 0.5 0.5 2.2
39 45 46 48 52 56 62 68
1 3 1 1 1 1 1 1
0.5 1.6 0.5 0.5 0.5 0.5 0.5 0.5 Country of residence Belgium
Canada China Croatia Denmark France Germany Greece India Iraq Ireland Italy Lithuania Luxembourg Malaysia Netherlands Norway
3 2 1 1 2 3 15 1 2 1 2 2 1 1 2 85 2
1.6 1.1 0.5 0.5 1.1 1.6 8.2 0.5 1.1 0.5 1.1 1.1 0.5 0.5 1.1 46.7 1.1
Pakistan Portugal Romania Saudi Arabia Serbia Slovakia Slovenia South Africa Spain
Sri Lanka Sweden Switzerland United Kingdom United States Vietnam
1 1 2 1 1 1 1 1 3 1 4 1 22 15 1
0.5 0.5 1.1 0.5 0.5 0.5 0.5 0.5 1.6 0.5 2.2 0.5 12.1 8.2 0.5 Education level Less than high school
High school Bachelor’s degree Master’s degree Doctorate degree/PhD
0 33 107 37 5
0 18.1 58.8 20.3 2.7
Appendix 3: Physical Activity and QS App Usage
Variable Level # of subjects % of subjects
Current level of physical activity*
Daily
5-6 times per week 3-4 times per week 1-2 times per week Never
13 18 48 84 19
7.1 9.9 26.4 46.2 10.4 QS app usage
status**
Current users Past users Nonusers
64 76 42
35.2 41.8 23.1 QS app usage
frequency***
Daily Weekly Monthly
26 32 6
40.6 50 9.4 QS app usage
duration****
A few days A few weeks A few months A few years
0 7 21 36
0.0 10.9 32.8 56.3
* ‘How often do you engage in physical activity, i.e., work out?’
** ‘Please indicate whether you are currently using a health and fitness app (e.g., Strava, Nike Run Club, MyFitnessPal), or have used one in the past.’
*** Conditional question; ‘How often are you actively using your health and fitness app?’
**** Conditional question; ‘How long have you been using your health and fitness app?’
Appendix 4: Histogram and Normal P-P Plot of Regression Standardized Residual Recognition
Reciprocal benefits
Network exposure
Appendix 5: Linearity
Appendix 6: Homoscedasticity of Residuals
Appendix 7: Conditional Effects of Focal Predictor at Values of the Moderator(s) Table 9
Conditional Effects of the Focal Predictor at Values of the Moderator(s)
Agreeableness Conscientiousness Effect se t p LLCI ULCI
-.860 -1.230 .498 .112 4.456 .000 .277 .718
-.860 .020 .293 .083 3.526 .001 .129 .457
-.860 1.270 .088 .111 .788 .432 -.132 .308
.140 -1.230 .539 .102 5.310 .000 .339 .740
.140 .020 .334 .070 4.748 .000 .195 .473
.140 1.270 .129 .103 1.249 .213 -.075 .333
.890 -1.230 .570 .114 5.019 .000 .346 .795
.890 .020 .365 .088 4.156 .000 .192 .539
.890 1.270 .160 .117 1.372 .172 -.070 .391
Note. N = 182.
Appendix 8: Moderation Interaction Graphs