Abstract
Companies increasingly equip employees with smart watches to, e.g., support them in carrying out their work. Smart watches can however collect data about them and reveal sensitive information. This may result in limiting the acceptance of these devices by employees, despite their potential helpfulness. In this paper, we therefore analyze factors that influence employees’ willingness to share smart watch captured private data. In more detail, we investigate employees’ technological knowledge about data collection and processing and the associated risks, their technical affinity, their smart watch ownership and usage, and their legislation knowledge about respective laws. To this end, we have conducted an online survey with more than 1,000 full-time employees. Our findings suggest that employees are aware of the risk associated with smart watches but partially have incorrect knowledge about legal frameworks. Moreover, more than one-third of the participants own a personal smart watch and have a certain technological affinity. However, our results reveal different impacts from these factors on employees’ willingness to share data with their employers.
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References
Applin, S.A., Fischer, M.D.: Watching me, watching you. (Process surveillance and agency in the workplace). In: Proceedings of the 2013 IEEE International Symposium on Technology and Society (ISTAS): Social Implications of Wearable Computing and Augmediated Reality in Everyday Life, pp. 268–275 (2013)
BMW Group: Produktionsstart der neuen BMW 7er Limousine (2019). https://www.press.bmwgroup.com/austria/article/detail/T0292928DE
CCS Insight: Healthy Outlook for Wearables As Users Focus on Fitness and Well-Being (2021). https://www.ccsinsight.com/press/company-news/healthy-outlook-for-wearables-as-users-focus-on-fitness-and-well-being/
Choi, B., Hwang, S., Lee, S.H.: What drives construction workers’ acceptance of wearable technologies in the workplace?: Indoor localization and wearable health devices for occupational safety and health. Autom. Constr. 84(1), 31–41 (2017)
Cohen, J.: Statistical Power Analysis for the Behavioral Sciences. Academic Press, Cambridge (1988)
Collins, P.M., Marassi, S.: Is that lawful?: data privacy and fitness trackers in the workplace. Int. J. Comp. Labour Law 37(1), 65–94 (2021)
Datta, P., Namin, A.S., Chatterjee, M.: A survey of privacy concerns in wearable devices. In: Proceedings of the IEEE International Conference on Big Data (Big Data), pp. 4549–4553 (2018)
Davoudi, A., et al.: Accuracy of Samsung gear S smartwatch for activity recognition: validation study. JMIR Mhealth Uhealth 7(2), e11270 (2019)
Dinev, T., Hart, P.J.: An extended privacy calculus model for e-commerce transactions. Inf. Syst. Res. 17(1), 61–80 (2006)
Franke, T., Attig, C., Wessel, D.: A personal resource for technology interaction: development and validation of the affinity for technology interaction (ATI) scale. Int. J. Human-Comput. Interact. 35(6), 456–467 (2019)
Gorm, N., Shklovski, I.: Sharing steps in the workplace. In: Proceedings of the 34th ACM Conference on Human Factors in Computing Systems (CHI), pp. 4315–4319 (2016)
Isaak, J., Hanna, M.J.: User data privacy: Facebook, Cambridge analytica, and privacy protection. Computer 51(8), 56–59 (2018)
Jacobs, J.V., et al.: Employee acceptance of wearable technology in the workplace. Appl. Ergon. 78(1), 148–156 (2019)
Kehr, F., Kowatsch, T., Wentzel, D., Fleisch, E.: Blissfully ignorant: the effects of general privacy concerns, general institutional trust, and affect in the privacy calculus. Inf. Syst. J. 25(6), 607–635 (2015)
Kline, R.B.: Principles and Practice of Structural Equation Modeling, 4th edn. Methodology in the Social Sciences, New York (2016)
Kovacs, K., Ansari, F., Geisert, C., Uhlmann, E., Glawar, R., Sihn, W.: A process model for enhancing digital assistance in knowledge-based maintenance. In: Machine Learning for Cyber Physical Systems. TA, vol. 9, pp. 87–96. Springer, Heidelberg (2019). https://doi.org/10.1007/978-3-662-58485-9_10
Kritzler, M., Bäckman, M., Tenfält, A., Michahelles, F.: Wearable technology as a solution for workplace safety. In: Proceedings of the 14th ACM International Conference on Mobile and Ubiquitous Multimedia (MUM), pp. 213–217. ACM (2015)
Mekruksavanich, S., Hnoohom, N., Jitpattanakul, A.: Smartwatch-based sitting detection with human activity recognition for office workers syndrome. In: 2018 IEEE International ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI-NCON), pp. 160–164 (2018)
Moore, P.V.: The Quantified Self in Precarity: Work, Technology and What Counts (2017)
Motti, V.G., Caine, K.: Users’ privacy concerns about wearables. In: Brenner, M., Christin, N., Johnson, B., Rohloff, K. (eds.) FC 2015. LNCS, vol. 8976, pp. 231–244. Springer, Heidelberg (2015). https://doi.org/10.1007/978-3-662-48051-9_17
Ozdemir, Z.D., Smith, H.J., Benamati, J.H.: Antecedents and outcomes of information privacy concerns in a peer context: an exploratory study. Eur. J. Inf. Syst. 26(6), 642–660 (2017)
Prince, C.: Do consumers want to control their personal data? Empirical evidence. Int. J. Hum. Comput. Stud. 110, 21–32 (2018)
Prince, C., Omrani, N., Maalaoui, A., Dabic, M., Kraus, S.: Are we living in surveillance societies and is privacy an illusion? An empirical study on privacy literacy and privacy concerns. IEEE Trans. Eng. Manag. (2021)
Schaub, F., et al.: Watching them watching me: browser extensions’ impact on user privacy awareness and concern. In: Proceedings of the 2016 Workshop on Usable Security (USEC), pp. 1–10 (2016)
Schellewald, V., Weber, B., Ellegast, R., Friemert, D., Hartmann, U.: Einsatz von Wearables zur Erfassung der körperlichen Aktivität am Arbeitsplatz. DGUV Forum 11(1), 36–37 (2016)
Shoaib, M., Bosch, S., Scholten, H., Havinga, P.J., Incel, O.D.: Towards detection of bad habits by fusing smartphone and smartwatch sensors. In: Proceedings of the 13th IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), pp. 591–596 (2015)
Statista Inc.: Do you personally use wearables (e.g. smart watch, health / fitness tracker)? [Graph] (2021). https://www.statista.com/forecasts/1101110/wearables-devices-usage-in-selected-countries
Statistisches Bundesamt (Destatis): 12111–0004: Bevölkerung (Zensus): Deutschland, Stichtag, Geschlecht, Altersgruppen (2021). https://www-genesis.destatis.de/genesis/online
Stocker, A., Brandl, P., Michalczuk, R., Rosenberger, M.: Mensch-zentrierte IKT-Lösungen in einer Smart Factory. e & i Elektrotechnik und Informationstechnik 131(7), 207–211 (2014)
Sun, Y., Wang, N., X., S.: Perceived benefits, privacy risks, and perceived justice in location information disclosure: a moderated mediation analysis. In: Proceedings of the 2014 Pacific Asia Conference on Information Systems (PACIS) (2014)
Tomczak, D.L., Lanzo, L.A., Aguinis, H.: Evidence-based recommendations for employee performance monitoring. Bus. Horiz. 61(2), 251–259 (2018)
Trang, S., Weiger, W.H.: The perils of gamification: does engaging with gamified services increase users’ willingness to disclose personal information? Comput. Hum. Behav. 116, 106644 (2021)
Wang, T., Duong, T.D., Chen, C.C.: Intention to disclose personal information via mobile applications: a privacy calculus perspective. Int. J. Inf. Manag. 36(4), 531–542 (2016)
Wirtz, J., Lwin, M.O., Williams, J.D.: Causes and consequences of consumer online privacy concern. Int. J. Serv. Ind. Manag. 18(4), 326–348 (2007)
Xu, H., Teo, H.H., Tan, B.C., Agarwal, R.: The role of push-pull technology in privacy calculus: the case of location-based services. J. Manag. Inf. Syst. 26(3), 135–174 (2009)
Zhang, X., Liu, S., Chen, X., Wang, L., Gao, B., Zhu, Q.: Health information privacy concerns, antecedents, and information disclosure intention in online health communities. Inf. Manag. 55(4), 482–493 (2018)
Ziegler, J., Heinze, S., Urbas, L.: The potential of smartwatches to support mobile industrial maintenance tasks. In: Proceedings of the 20th IEEE Conference on Emerging Technologies Factory Automation (ETFA), pp. 1–7 (2015)
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The authors would like to thank the anonymous participants who participated in the survey and our colleagues for their feedback on the survey.
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Richter, A., Kühtreiber, P., Reinhardt, D. (2022). Exploration of Factors that Can Impact the Willingness of Employees to Share Smart Watch Data with Their Employers. In: Friedewald, M., Krenn, S., Schiering, I., Schiffner, S. (eds) Privacy and Identity Management. Between Data Protection and Security. Privacy and Identity 2021. IFIP Advances in Information and Communication Technology, vol 644. Springer, Cham. https://doi.org/10.1007/978-3-030-99100-5_12
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DOI: https://doi.org/10.1007/978-3-030-99100-5_12
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