TAULUKKO 9 Hypoteesien tulokset
8 LÄHTEET
Bhattacherjee, A. & Premkumar, G. (2004). Understanding changes in belief and attitude toward information technology usage: A theoretical model and longitudinal test. MIS Quarterly, 28(2), 229-254.
Bölen, M. C. (2020). Exploring the determinants of users’ continuance intention in smartwatches. Technology in Society, 60, 101209.
Carbon, C. & Jakesch, M. (2012). A model for haptic aesthetic processing and its implications for design. Proceedings of the IEEE, 101(9), 2123-2133.
CCS Insight & Koytcheva, M. (2021). Fit for the pandemic. Haettu 10.3.2021 osoitteesta https://www.ccsinsight.com/blog/fit-for-the-pandemic/
Cho, J. (2016). The impact of post-adoption beliefs on the continued use of health apps. International Journal of Medical Informatics, 87, 75-83.
Choi, B., Hwang, S. & Lee, S. (2017). What drives construction workers'
acceptance of wearable technologies in the workplace?: Indoor localization and wearable health devices for occupational safety and health.
Automation in Construction, 84, 31-41.
Choi, J. H. & Lee, H. (2012). Facets of simplicity for the smartphone interface: A structural model. International Journal of Human-Computer Studies, 70(2), 129-142.
Clawson, J., Pater, J. A., Miller, A. D., Mynatt, E. D., & Mamykina, L. (2015, September). No longer wearing: investigating the abandonment of
personal health-tracking technologies on craigslist. Teoksessa Proceedings of the 2015 ACM international joint conference on pervasive and ubiquitous computing (647-658). New York, NY, USA.
Compeau, D., Higgins, C. A. & Huff, S. (1999). Social cognitive theory and individual reactions to computing technology: A longitudinal study. MIS Quarterly, 23(2), 145-158.
Cronbach, L. J. & Shavelson, R. J. (2004). My current thoughts on coefficient alpha and successor procedures. Educational and Psychological Measurement, 64(3), 391-418.
Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results (Väitöskirja). MIT Sloan School of Management, Cambdrigde, MA.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
de Arriba-Pérez, F., Caeiro-Rodríguez, M. & Santos-Gago, J. M. (2018). How do you sleep? using off the shelf wrist wearables to estimate sleep quality, sleepiness level, chronotype and sleep regularity indicators. Journal of Ambient Intelligence and Humanized Computing, 9(4), 897-917.
De Guinea, A. O. & Markus, M. L. (2009). Why break the habit of a lifetime?
rethinking the roles of intention, habit, and emotion in continuing information technology use. Mis Quarterly, 33(3), 433-444.
Deci, E. L. & Ryan, R. M. (2000). The" what" and" why" of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227-268.
Deci, E. L. & Ryan, R. M. (2008). Self-determination theory: A macrotheory of human motivation, development, and health. Canadian
Psychology/Psychologie Canadienne, 49(3), 182.
Dembe, A. E., Erickson, J. B., Delbos, R. G. & Banks, S. M. (2005). The impact of overtime and long work hours on occupational injuries and illnesses: New evidence from the united states. Occupational and Environmental Medicine, 62(9), 588-597.
Evenson, K. R., Goto, M. M. & Furberg, R. D. (2015). Systematic review of the validity and reliability of consumer-wearable activity trackers.
International Journal of Behavioral Nutrition and Physical Activity, 12(1), 1-22.
Firstbeat. (2020a). Firstbeat life - support. Haettu 20.12.2020 osoitteesta https://support.firstbeatlife.com/hc/fi
Firstbeat. (2020b). Uusi firstbeat life™ on täällä! – ”Tänä vuonna olemme viimeistään huomanneet, että työntekijöiden hyvinvointi on ratkaiseva tekijä yritykselle” . Haettu 20.12.2020 osoitteesta
https://www.firstbeat.com/fi/uutiset/uusi-firstbeat-life-tyontekijoiden-hyvinvointi-ratkaiseva-tekija-yritykselle/
Firstbeat Life. (2021). Firstbeat life - työntekijälle. Haettu 12.2.2021 osoitteesta
https://www.firstbeat.com/fi/tyo-ja-hyvinvointi/firstbeat-life-tyontekijalle/
Flavián, C., Guinalíu, M. & Gurrea, R. (2006). The role played by perceived usability, satisfaction and consumer trust on website loyalty. Information &
Management, 43(1), 1-14.
Gartner. (2016). Gartner survey shows wearable devices need to be more useful . Haettu 14.1.2020 osoitteesta
https://www.gartner.com/en/newsroom/press-releases/2016-12-07-gartner-survey-shows-wearable-devices-need-to-be-more-useful GDPR. (2018). Article 4 EU GDPR "definitions. Haettu 23.2.2021 osoitteesta
https://gdpr-info.eu/art-4-gdpr/
Gibson, J. J., & Carmichael, L. (1966). The senses considered as perceptual systems (2. painos) Boston: Houghton Mifflin.
Goetzel, R. Z. & Ozminkowski, R. J. (2008). The health and cost benefits of work site health-promotion programs. Annu.Rev.Public Health, 29, 303-323.
Grand View Research. (2020). Wearable technology market size, share & trends analysis report by product (wrist-wear, eye-wear & head-wear, foot-wear, neck-wear, body-wear), by application, by region, and segment forecasts, 2020 - 2027. Haettu 20.3.2021 osoitteesta
https://www.grandviewresearch.com/industry-analysis/wearable-technology-market
Hagger, M. S., Hardcastle, S. J., Chater, A., Mallett, C., Pal, S. & Chatzisarantis, N. (2014). Autonomous and controlled motivational regulations for multiple health-related behaviors: Between-and within-participants
analyses. Health Psychology and Behavioral Medicine: An Open Access Journal, 2(1), 565-601.
Hair Jr, J. F., Hult, G. T. M., Ringle, C. & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications.
Hair, J. F., Ringle, C. M. & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet.
Journal of Marketing Theory and Practice, 19(2), 139-152.
Hamari, J. & Koivisto, J. (2015). Why do people use gamification services?
International Journal of Information Management, 35(4), 419-431.
Heale, R. & Twycross, A. (2015). Validity and reliability in quantitative studies.
Evidence-Based Nursing, 18(3), 66-67.
Hirsjärvi, S., Remes, P. & Sajavaara, P. (2009). Tutki ja kirjoita (15. painos).
Helsinki: Tammi.
Hong, J., Lin, P. & Hsieh, P. (2017). The effect of consumer innovativeness on perceived value and continuance intention to use smartwatch. Computers in Human Behavior, 67, 264-272.
Hsiao, C., Chang, J. & Tang, K. (2016). Exploring the influential factors in
continuance usage of mobile social apps: Satisfaction, habit, and customer value perspectives. Telematics and Informatics, 33(2), 342-355.
Huang, G. & Ren, Y. (2020). Linking technological functions of fitness mobile apps with continuance usage among chinese users: Moderating role of exercise self-efficacy. Computers in Human Behavior, 103, 151-160.
Jacobs, J. V., Hettinger, L. J., Huang, Y., Jeffries, S., Lesch, M. F., Simmons, L.
A., . . . Willetts, J. L. (2019). Employee acceptance of wearable technology in the workplace. Applied Ergonomics, 78, 148-156.
Jakicic, J. M., Davis, K. K., Rogers, R. J., King, W. C., Marcus, M. D., Helsel, D., . . . Belle, S. H. (2016). Effect of wearable technology combined with a lifestyle intervention on long-term weight loss: The IDEA randomized clinical trial. Jama, 316(11), 1161-1171.
Jasperson, J. S., Carter, P. E. & Zmud, R. W. (2005). A comprehensive
conceptualization of post-adoptive behaviors associated with information technology enabled work systems. MIS Quarterly, 29(3), 525-557.
Jent, S., & Janneck, M. (2017). Using gamification to enhance user motivation:
the influence of gender and age. Teoksessa International Conference on Applied Human Factors and Ergonomics (3-10). Springer, Cham.
Jeong, S. C., Kim, S., Park, J. Y. & Choi, B. (2017). Domain-specific
innovativeness and new product adoption: A case of wearable devices.
Telematics and Informatics, 34(5), 399-412.
Jöreskog, K. G. (1999). How large can a standardized coefficient be. Haettu 16.12.2020 osoitteesta
http://www.statmodel.com/download/Joreskog.pdf
Kari, T., Kettunen, E., Moilanen, P. & Frank, L. (2017). Wellness technology use in everyday life: A diary study. Teoksessa Bled 2017: Proceedings of the 30th Bled eConference.Digital Transformation: From Connecting Things to
Transforming our Lives, ISBN 978-961-286-043-1, Bled, Slovenia.
Karjaluoto, H. & Munnukka, J. (2016). AMOS (SPSS) -ohjelman käyttöohje (versio SPSS AMOS 22.0) Jyväskylä: University of Jyväskylä
Kerner, C. & Goodyear, V. A. (2017). The motivational impact of wearable healthy lifestyle technologies: A self-determination perspective on fitbits with adolescents. American Journal of Health Education, 48(5), 287-297.
Khakurel, J., Pöysä, S., & Porras, J. (2016, November). The use of wearable devices in the workplace-a systematic literature review.
Teoksessa International Conference on Smart Objects and Technologies for Social Good, 195, 284-294. Springer, Cham.
Kim, J., Campbell, A. S., de Ávila, B. E. & Wang, J. (2019). Wearable biosensors for healthcare monitoring. Nature Biotechnology, 37(4), 389-406.
Kim, J. (2014). A qualitative analysis of user experiences with a self-tracker for activity, sleep, and diet. Interactive Journal of Medical Research, 3(1), e8.
Kim, S. S. & Malhotra, N. K. (2005). A longitudinal model of continued IS use:
An integrative view of four mechanisms underlying postadoption phenomena. Management Science, 51(5), 741-755.
Koivisto, J. & Hamari, J. (2014). Demographic differences in perceived benefits from gamification. Computers in Human Behavior, 35, 179-188.
Koponen, P., Borodulin, K., Lundqvist, A., Sääksjärvi, K. & Koskinen, S. (2018).
Terveys, toimintakyky ja hyvinvointi suomessa: FinTerveys 2017-tutkimus.
Helsinki: Terveyden ja hyvinvoinnin laitos.
Lahtela, P. & Pekkinen, J. (2021). Terveysteknologiamarkkinan mielikuvat ja lupaukset. Haettu 15.2.2021 osoitteesta https://areena.yle.fi/audio/1-50725897
Ledger, D. & McCaffrey, D. (2014). Inside wearables: How the science of human behavior change offers the secret to long-term engagement. Endeavour Partners, 200(93), 1.
Lee, J., Kim, D., Ryoo, H. & Shin, B. (2016). Sustainable wearables: Wearable technology for enhancing the quality of human life. Sustainability, 8(5), 466.
Lee, H., Song, C., Hong, Y. S., Kim, M. S., Cho, H. R., Kang, T., . . . Kim, D.
(2017). Wearable/disposable sweat-based glucose monitoring device with multistage transdermal drug delivery module. Science Advances, 3(3), e1601314.
Lee, J., Byun, W., Keill, A., Dinkel, D. & Seo, Y. (2018). Comparison of wearable trackers’ ability to estimate sleep. International Journal of Environmental Research and Public Health, 15(6), 1265.
Limayem, M. & Hirt, S. G. (2003). Force of habit and information systems usage:
Theory and initial validation. Journal of the Association for Information Systems, 4(1), 65-97.
Limayem, M., Hirt, S. G. & Cheung, C. M. (2007). How habit limits the predictive power of intention: The case of information systems continuance. MIS Quarterly, 31(4), 705-737.
Lin, C. & Bhattacherjee, A. (2008). Elucidating individual intention to use interactive information technologies: The role of network externalities.
International Journal of Electronic Commerce, 13(1), 85-108.
Lin, X., Featherman, M. & Sarker, S. (2017). Understanding factors affecting users’ social networking site continuance: A gender difference perspective.
Information & Management, 54(3), 383-395.
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.
Maher, C., Ryan, J., Ambrosi, C. & Edney, S. (2017). Users’ experiences of wearable activity trackers: A cross-sectional study. BMC Public Health, 17(1), 1-8.
McAuley, E., Lox, C., Rudolph, D. & Travis, A. (1994). Self-efficacy and intrinsic motivation in exercising middle-aged adults. Journal of Applied Gerontology, 13(4), 355-370.
Metsämuuronen, J. (2007). Tutkimuksen tekemisen perusteet ihmistieteissä (4.
painos) International Methelp KY.
Mettler, T. & Wulf, J. (2019). Physiolytics at the workplace: Affordances and constraints of wearables use from an employee's perspective. Information Systems Journal, 29(1), 245-273.
Miquelon, P. & Vallerand, R. J. (2008). Goal motives, well-being, and physical health: An integrative model. Canadian Psychology/Psychologie Canadienne, 49(3), 241-249.
Miyamoto, S. W., Henderson, S., Young, H. M., Pande, A. & Han, J. J. (2016).
Tracking health data is not enough: A qualitative exploration of the role of healthcare partnerships and mHealth technology to promote physical activity and to sustain behavior change. JMIR mHealth and uHealth, 4(1), e5.
Moilanen, P., Salo, M., & Frank, L. (2014). Inhibitors, enablers and social side winds Explaining the use of exercise tracking systems. Teoksessa A.
Pucihar, C. Carlsson, R. Bons, R. Clarke, & M. K. Borstnar (Eds.), Proceedings of the 27th Bled eConference "eEcosystems" (23-37). Kranj:
Moderna organizacija.
Mouakket, S. (2015). Factors influencing continuance intention to use social network sites: The facebook case. Computers in Human Behavior, 53, 102-110.
Nascimento, B., Oliveira, T. & Tam, C. (2018). Wearable technology: What explains continuance intention in smartwatches? Journal of Retailing and Consumer Services, 43, 157-169.
Nayak, B., Bhattacharyya, S. S. & Krishnamoorthy, B. (2019). Integrating
wearable technology products and big data analytics in business strategy.
Journal of Systems and Information Technology, 21(2), 255-275.
Ogbanufe, O. & Gerhart, N. (2018). Watch it! factors driving continued feature use of the smartwatch. International Journal of Human–Computer Interaction, 34(11), 999-1014.
Ogbanufe, O., & Gerhart, N. (2020). The mediating influence of smartwatch identity on deep use and innovative individual performance. Information Systems Journal, 30(6), 977-1009.
Oghuma, A. P., Libaque-Saenz, C. F., Wong, S. F. & Chang, Y. (2016). An expectation-confirmation model of continuance intention to use mobile instant messaging. Telematics and Informatics, 33(1), 34-47.
Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460-469.
Omron. (2020). Omron HeartGuide. Haettu 20.1.2021 osoitteesta
https://omronhealthcare.com/products/heartguide-wearable-blood-pressure-monitor-bp8000m/
Pal, D., Funilkul, S. & Vanijja, V. (2018). The future of smartwatches: Assessing the end-users’ continuous usage using an extended
expectation-confirmation model. Universal Access in the Information Society, 19(2), 1-21.
Pantelopoulos, A. & Bourbakis, N. G. (2009). A survey on wearable sensor-based systems for health monitoring and prognosis. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 40(1), 1-12.
Park, E. (2020). User acceptance of smart wearable devices: An expectation-confirmation model approach. Telematics and Informatics, 47, 101318.
Piwek, L., Ellis, D. A., Andrews, S., & Joinson, A. (2016). The rise of consumer health wearables: promises and barriers. PLoS medicine, 13(2), e1001953.
Premkumar, G. & Bhattacherjee, A. (2008). Explaining information technology usage: A test of competing models. Omega, 36(1), 64-75.
Proper, K. I. & van Oostrom, S. H. (2019). The effectiveness of workplace health promotion interventions on physical and mental health outcomes–a systematic review of reviews. Scandinavian Journal of Work, Environment &
Health, 45(6), 546-559.
Rauttola, A., Halonen, J., Lukander, K., Passi, T., Uusitalo, A., Rauhamaa, S. &
Virkkala, J. (2019). Puettavan teknologian hyödyntäminen työterveyshuolloissa ja työpaikoilla. Helsinki: Työterveyslaitos
Reichheld, F. F., Markey Jr, R. G. & Hopton, C. (2000). The loyalty effect-the relationship between loyalty and profits. European Business Journal, 12(3), 134-139.
Reichheld, F. F., & Teal, T. (1996). The loyalty effect: The hidden force behind growth, profits and lasting. Harvard Business School Publications, Boston.
Reisinger, Y. & Mavondo, F. (2007). Structural equation modeling: Critical issues and new developments. Journal of Travel & Tourism Marketing, 21(4), 41-71.
Robroek, S. J., Reeuwijk, K. G., Hillier, F. C., Bambra, C. L., van Rijn, R. M. &
Burdorf, A. (2013). The contribution of overweight, obesity, and lack of physical activity to exit from paid employment: A
meta-analysis. Scandinavian Journal of Work, Environment & Health, 39(3), 233-240.
Roca, J. C. & Gagné, M. (2008). Understanding e-learning continuance intention in the workplace: A self-determination theory perspective. Computers in Human Behavior, 24(4), 1585-1604.
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.
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.
Samsung. (2020). FDA-cleared electrocardiogram monitor app is available in the US starting today on galaxy Watch3 and galaxy watch Active2 . Haettu 20.1.2021 osoitteesta https://news.samsung.com/global/fda-cleared- electrocardiogram-monitor-app-is-available-in-the-us-starting-today-on-galaxy-watch3-and-galaxy-watch-active2
Sarstedt, M., Ringle, C. M. & Hair, J. F. (2017). Partial least squares structural equation modeling. Handbook of Market Research, 26(1), 1-40.
Schall Jr, M. C., Sesek, R. F. & Cavuoto, L. A. (2018). Barriers to the adoption of wearable sensors in the workplace: A survey of occupational safety and health professionals. Human Factors, 60(3), 351-362.
Sforzo, G. A., Moore, M. & Scholtz, M. (2015). Delivering change that lasts:
Health and wellness coaching competencies for exercise professionals. ACSM's Health & Fitness Journal, 19(2), 20-26.
Shin, D. & Biocca, F. (2017). Health experience model of personal informatics:
The case of a quantified self. Computers in Human Behavior, 69, 62-74.
Son, D., Lee, J., Qiao, S., Ghaffari, R., Kim, J., Lee, J. E., . . . Jun, S. W. (2014).
Multifunctional wearable devices for diagnosis and therapy of movement disorders. Nature Nanotechnology, 9(5), 397.
Sonderegger, A. & Sauer, J. (2015). The role of non-visual aesthetics in consumer product evaluation. International Journal of Human-Computer Studies, 84, 19-32.
Springbuk. (2016). Wearable technology: Unlocking ROI of workplace wellness . Haettu 11.2.2021 osoitteesta
https://www.springbuk.com/resources/white-papers/wearable-roi/
Statista. (2020). Enterprise & industrial wearable device unit shipments worldwide from 2015 to 2021. Haettu 13.8.2020
osoitteesta https://www.statista.com/statistics/609205/wearable-device-shipments-worldwide-enterprise-industrial/
Stepanovic, S., Mettler, T., Schmidt-Kraepelin, M., Thiebes, S. & Sunyaev, A.
(2019). Wearable health devices in the workplace: The importance of habits to sustain the use. Teoksessa 2019 IEEE 21st Conference on Business Informatics, CBI (363-372). IEEE.
Sun, N. & Rau, P. P. (2015). The acceptance of personal health devices among patients with chronic conditions. International Journal of Medical Informatics, 84(4), 288-297.
Swan, M. (2009). Emerging patient-driven health care models: An examination of health social networks, consumer personalized medicine and quantified self-tracking. International Journal of Environmental Research and Public Health, 6(2), 492-525.
Swan, M. (2012). Sensor mania! the internet of things, wearable computing, objective metrics, and the quantified self 2.0. Journal of Sensor and Actuator Networks, 1(3), 217-253.
Tam, C., Santos, D. & Oliveira, T. (2018). Exploring the influential factors of continuance intention to use mobile apps: Extending the expectation confirmation model. Information Systems Frontiers, 22(1), 243-257.
Teixeira, P. J., Carraça, E. V., Markland, D., Silva, M. N. & Ryan, R. M. (2012).
Exercise, physical activity, and self-determination theory: A systematic review. International Journal of Behavioral Nutrition and Physical Activity, 9(1), 1-30.
Terry, D. J. & O'Leary, J. E. (1995). The theory of planned behaviour: The effects of perceived behavioural control and self-efficacy. British Journal of Social Psychology, 34(2), 199-220.
Thong, J. Y., Hong, S. & Tam, K. Y. (2006). The effects of post-adoption beliefs on the expectation-confirmation model for information technology
continuance. International Journal of Human-Computer Studies, 64(9), 799-810.
Tietosuojavaltuutetun toimisto. (2021). EU:N tietosuoja asetus. Haettu 20.2.20201 osoitteesta https://tietosuoja.fi/gdpr
Tractinsky, N., Katz, A. S. & Ikar, D. (2000). What is beautiful is usable.
Interacting with Computers, 13(2), 127-145.
Työterveyslaitos. (2020). Hyvinvointia työstä 2030-luvulla : Skenaarioita suomalaisen työelämän kehityksestä. Tampere: PunaMusta Oy
Vallerand, R. J. (1997). Toward a hierarchical model of intrinsic and extrinsic motivation. Advances in Experimental Social Psychology, 29, 271-360.
Vehkalahti, K. (2014). Kyselytutkimuksen mittarit ja menetelmät. 1. painos.
Helsinki:Finn Lectura.
Venkatesh, V. & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273-315.
Venkatesh, V. & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451-481.
Venkatesh, V. & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management
Science, 46(2), 186-204.
Venkatesh, V., Morris, M. G., Davis, G. B. & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
Venkatesh, V., Thong, J. Y. & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157-178.
Wang, Y., Weber, I. & Mitra, P. (2016). Quantified self meets social media:
Sharing of weight updates on twitter. Teoksessa Proceedings of the 6th International Conference on Digital Health Conference (93-97). New York, NY, USA
Windasari, N. A., Lin, F. & Kato-Lin, Y. (2021). Continued use of wearable fitness technology: A value co-creation perspective. International Journal of Information Management, 57, 102292.
Wood, W., Quinn, J. M. & Kashy, D. A. (2002). Habits in everyday life: Thought, emotion, and action. Journal of Personality and Social Psychology, 83(6), 1281-1297.
Yuan, S., Liu, Y., Yao, R. & Liu, J. (2016). An investigation of users’ continuance intention towards mobile banking in china. Information Development, 32(1), 20-34.
Yuan, S., Ma, W., Kanthawala, S. & Peng, W. (2015). Keep using my health apps:
Discover users' perception of health and fitness apps with the UTAUT2 model. Telemedicine and E-Health, 21(9), 735-741.
LIITE 1 LOPPUKÄYTTÄJÄTUTKIMUS
Käsite
Odotusten
Vahvistuminen OV1: Kokemukseni Firstbeat Lifen kanssa on ollut parempi kuin mitä odotin. (Bhattacherjee, 2001)
OV2: Firstbeat Lifen laatu on ollut parempi kuin mitä odotin. (Bhat-tacherjee, 2001)
OV3: Firstbeat Life on ylittänyt sille asettamani odotukset.
Tyytyväisyys TY1: Kaiken kaikkiaan olen tyytyväinen Firstbeat Lifen käyttöön. (Bhat-tacherjee & Premkumar, 2004)
TY2: Olen tyytyväinen Firstbeat Lifen tarjoamaan kokemukseen.
(Hsiao ym., 2016)
TY3: Olen tyytyväinen, että olen käyttänyt Firstbeat Lifea hyvinvointini mittaamiseen. (Hsiao ym., 2016)
TY4: Olen tyytyväinen Firstbeat Lifen antamaan palautteeseen hyvin-voinnistani.
Minäpystyvyys MP1: Pystyn suorittamaan hyvinvointimittauksen Firstbeat Lifella (Bhattacherjee ym., 2008)
MP2: Pystyn käyttämään Firstbeat Lifea ilman että kukaan ohjeistaa minua siinä. (Bhattacherjee ym., 2008)
MP3: Olen luottavainen kykyihini suorittaa onnistunut hyvinvointimit-taus Firstbeat Lifen avulla. (Bhattacherjee ym., 2008)
Koettu
hyödyllisyys KH1: Firstbeat Lifen käyttö on ollut hyödyllistä. (Shin & Biocca, 2017) KH2: Firstbeat Lifen käyttö on käytännöllistä. (Shin & Biocca, 2017) KH3: Firstbeat Life on mielestäni toimiva. (Shin & Biocca, 2017)
Tapa TA1: Firstbeat Lifen käytöstä on tullut minulle tapa. (Limayem & Hirt, 2003)
TA2: Firstbeat Lifen käyttö kuuluu rutiineihini. (Bölen, 2020)
TA3: Minusta on tullut riippuvainen Firstbeat Lifen käytölle. (Bölen, 2020)
Koettu
estetiikka ES1: Firstbeat Life on ulkonäöltään miellyttävä (itse vartalolle asetetta-va laite). (Jeong ym., 2017)
ES2: Firstbeat Life on miellyttävän tuntuinen.
ES3: Firstbeat Lifen puhelinsovelluksen käyttöliittymä (esim. värit, valikot, esitettävä informaatio) on mielestäni hyvän näköinen.
(Bölen, 2020)
Koettu nautinto KN1: Mielestäni Firstbeat Life on mielenkiintoinen. (Shin & Biocca, 2017)
KN2: Firstbeat Lifen käyttö tuo minulle nautintoa. (Lin, C. & Bhattacher-jee, 2008)
KN3: Nautin Firstbeat Lifen käytöstä. (Lin & Bhattacherjee, 2008) Käytön
jatkaminen KJ1: Aikomuksenani on jatkaa Firstbeat Lifen käyttöä ennemmin kuin keskeyttää sen käyttäminen. (Bhattacherjee, 2001)
KJ2: Aion käyttää Firstbeat Lifea jatkossakin.
LIITE 2 YKSITTÄISTEN KYSYMYSTEN KESKIARVOT JA KESKIHAJONTA
N = 117 KESKIARVO KESKIHAJONTA
OV1: Kokemukseni Firstbeat Lifen kanssa on ollut
parempi kuin mitä odotin. 3.74 0.82
OV2: Firsbeat Lifen laatu on ollut parempi kuin
mitä odotin. 3.66 0.83
OV3: Firstbeat Life on ylittänyt sille asettamani
odotukset. 3.38 0.96
TY1: Kaiken kaikkiaan olen tyytyväinen Firstbeat
Lifen käyttöön. 4.09 0.82
TY2: Olen tyytyväinen Firstbeat Lifen tarjoamaan
kokemukseen. 4.07 0.80
TY3: Olen tyytyväinen, että olen käyttänyt
Firstbeat Lifea hyvinvointini mittaamiseen. 4.27 0.77 TY4: Olen tyytyväinen Firstbeat Lifen antamaan
palautteeseen hyvinvoinnistani. 3.96 0.87 MP1: Pystyn suorittamaan hyvinvointimittauksen
Firstbeat Lifella. 4.50 0.72
MP2: Pystyn käyttämään Firstbeat Lifea ilman että
kukaan ohjeistaa minua siinä. 4.53 0.76
MP3: Olen luottavainen kykyihini suorittaa onnistunut hyvinvointimittaus Firstbeat Lifen avulla.
4.62 0.65
KH1: Firstbeat Lifen käyttö on ollut hyödyllistä. 4.20 0.86 KH2: Firstbeat Lifen käyttö on käytännöllistä. 3.84 0.95 KH3: Firstbeat Life on mielestäni toimiva. 4.10 0.81 TA1: Firstbeat Lifen käytöstä on tullut minulle
tapa. 2.86 0.98
TA2: Firstbeat Lifen käyttö kuuluu rutiineihini. 2.62 1.00 TA3: Minusta on tullut riippuvainen Firstbeat
Lifen käytölle. 1.66 0.82
ES1: Firstbeat Life on ulkonäöltään miellyttävä
(itse vartalolle asetettava laite). 3.33 0.80 ES2: Firstbeat Life on miellyttävän tuntuinen. 2.83 0.83 ES3: Firstbeat Lifen puhelinsovelluksen
käyttöliittymä (esim. värit, valikot, esitettävä informaatio) on mielestäni hyvän näköinen.
3.91 0.86
KN1: Mielestäni Firstbeat Life on mielenkiintoinen.
4.24 0.70
KN2: Firstbeat Lifen käyttö tuo minulle nautintoa. 2.84 1.02 KN3: Nautin Firstbeat Lifen käytöstä. 2.93 1.02 KJ1: Aikomuksenani on jatkaa Firstbeat Lifen
käyttöä ennemmin kuin keskeyttää sen käyttäminen.
4.12 0.93
KJ2: Aion käyttää Firstbeat Lifea jatkossakin. 4.03 0.98