Abstract
In recent years, a growing importance of voice assistants can be observed. Looking more closely at the use of voice assistants, it becomes clear that everyday users of voice assistants are still in the minority, at least in Germany. Previous empirical studies have already found a correlation between the use of voice assistants and the trust in these technologies, as well as concerns about data security. However, there is so far little evidence on whether there are correlations between individual user characteristics and both perceived trust and security concerns. Furthermore, it is also unclear to what extent these user characteristics are generally related to use or non-use. In this paper, the design of a study is presented that surveyed various user characteristics such as technical experience, Big Five personality, willingness to use and experience in dealing with digital technologies, but also the trust in voice assistants, concerns about data security and the actual use of voice assistants within the framework of an online survey. After evaluating the results, attitudes of non-users towards voice assistants will be investigated in a second qualitative survey. The insights gained from these surveys could promote the acceptance of voice assistants and especially the introduction of anonymisation methods.
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References
Esmaeili, S., Tabbakh, S.R.K., Shakeri, H.: A priority-aware lightweight secure sensing model for body area networks with clinical healthcare applications in internet of things. Pervasive Mob. Comput. 69, 101265 (2020). https://doi.org/10.1016/j.pmcj.2020.101265
Ayaburi, E.W.Y., Treku, D.N.: Effect of penitence on social media trust and privacy concerns: the case of Facebook. Int. J. Inf. Manage. 50, 171–181 (2020)
Bitkom: Nutzen Sie die Möglichkeit, per Sprache Informationen abzufragen und Geräte zu steuern? (2022). https://de.statista.com/statistik/daten/studie/1330893/umfrage/umfrage-zur-nutzung-von-sprachassistenten/
Bitkom: Umfrage zu den gründen der ablehnung von sprachassistenten in deutschland im jahr 2022 (2022). https://de.statista.com/statistik/daten/studie/1330903/umfrage/umfrage-zu-den-gruenden-der-ablehnung-von-sprachassistenten
Borkenau, P., Ostendorf, F.: NEO-FFI: NEO-Fünf-Faktoren-Inventar nach Costa und McCrae, 2nd edn. Manual. Hogrefe, Göttingen (2008)
Brill, T.M., Munoz, L., Miller, R.J.: Siri, Alexa, and other digital assistants: a study of customer satisfaction with artificial intelligence applications. J. Mark. Manag. 35(15–16), 1401–1436 (2019). https://doi.org/10.1080/0267257X.2019.1687571
Brühl, J., Hauck, M., Hurtz, S.: Was ist eigentlich bei Facebook los? Süddeutsche Zeitung 05 April 2018. https://www.sueddeutsche.de/digital/datenmissbrauch-was-ist-eigentlich-gerade-bei-facebook-los-1.3932349
Chien, S.Y., Sycara, K., Liu, J.S., Kumru, A.: Relation between trust attitudes toward automation, Hofstede’s cultural dimensions, and big five personality traits. Proc. Hum. Factors Ergon. Soc. Ann. Meet. 60(1), 841–845 (2016). https://doi.org/10.1177/1541931213601192
Dhagarra, D., Goswami, M., Kumar, G.: Impact of trust and privacy concerns on technology acceptance in healthcare: an Indian perspective. Int. J. Med. Inform. 141, 104164 (2020). https://doi.org/10.1016/j.ijmedinf.2020.104164
Döring, N., Bortz, J.: Forschungsmethoden und Evaluation in den Sozial und Humanwissenschaften, 5th edn. Springer, Berlin (2016)
Habler, F., Schwind, V., Henze, N.: Effects of smart virtual assistants’ gender and language. In: Proceedings of Mensch und Computer 2019, pp. 469–473. ACM (2019). https://doi.org/10.1145/3340764.3344441
Kinsella, B.: Nearly 90 Million U.S. Adults Have Smart Speakers, Adoption Now Exceeds One-Third of Consumers. voicebot.ai (2020). https://perma.cc/336P-2C77. Accessed 28 Apr 2020
Kleinberg, S.: 5 ways voice assistance is shaping consumer behavior. Think with Google (2018). Accessed Jan 2018
Leiner, D.J.: SoSci Survey (version 3.1.06) (2019). https://www.soscisurvey.de
Mayring, P.: Qualitative Inhaltsanalyse Grundlagen und Techniken, 13th edn. Beltz, Weinheim (2022)
McLean, G., Osei-Frimpong, K.: Hey Alexa \(\ldots \) examine the variables influencing the use of artificial intelligent in-home voice assistants. Comput. Hum. Behav. 99, 28–37 (2019). https://doi.org/10.1016/j.chb.2019.05.009
Neyer, F.J., Felber, J., Gebhardt, C.: Entwicklung und validierung einer kurzskala zur erfassung von technikbereitschaft. Diagnostica 58(2), 87–99 (2012). https://doi.org/10.1026/0012-1924/a000067
Oksanen, A., Savela, N., Latikka, R., Koivula, A.: Trust toward robots and artificial intelligence: an experimental approach to human-technology interactions online. Front. Psychol. 11, 568256 (2020). https://doi.org/10.3389/fpsyg.2020.568256
Olson, C., Kemery, K.: Voice report: from answers to action: customer adoption of voice technology and digital assistants (2019)
Osborne, J.: Why 100 million monthly Cortana users on windows 10 is a big deal. TechRadar (2016). Accessed 20 July 2016
Perero-Codosero, J.M., Espinoza-Cuadros, F.M., Hernández-Gómez, L.A.: X-vector anonymization using autoencoders and adversarial training for preserving speech privacy. Comput. Speech Lang. 74, 101351 (2022). https://doi.org/10.1016/j.csl.2022.101351
Pitardi, V., Marriott, H.R.: Alexa, she’s not human but\(\ldots \) unveiling the drivers of consumers’ trust in voice-based artificial intelligence. Psychol. Mark. 38(4), 626–642 (2021). https://doi.org/10.1002/mar.21457
Rammstedt, B., John, O.P.: Kurzversion des big five inventory (BFI-K). Diagnostica 51(4), 195–206 (2005). https://doi.org/10.1026/0012-1924.51.4.195
Reinkemeier, F., Gnewuch, U.: Match or mismatch? How matching personality and gender between voice assistants and users affects trust in voice commerce. In: Bui, T. (ed.) Proceedings of the 55th Hawaii International Conference on System Sciences. Proceedings of the Annual Hawaii International Conference on System Sciences, Hawaii International Conference on System Sciences (2022). https://doi.org/10.24251/HICSS.2022.528
Tas, S.: R.A.: Nutzung von sprachassistenten in deutschland. In: Sprachassistenten - Anwendungen, Implikationen, Entwicklungen: ITG-Workshop: Magdeburg, p. 39 (2020)
Siegert, I., Sinha, Y., Winkelmann, G., Jokisch, O., Wendemuth, A.: Public interactions with voice assistant - discussion of different one-shot solutions to preserve speaker privacy. In: Proceedings of the Workshop on Ethical and Legal Issues in Human Language Technologies and Multilingual De-Identification of Sensitive Data In Language Resources within the 13th Language Resources and Evaluation Conference, pp. 44–47. European Language Resources Association, Marseille, France (2022). https://aclanthology.org/2022.legal-1.8
Sinha, Y., et al.: Why Eli Roth should not use TTS-systems for anonymization. In: Siegert, I., Tomashenko, N., Williams, J. (eds.) Proceedings of the 2nd Symposium on Security and Privacy in Speech Communication, pp. 17–22. ISCA, Incheon, Korea (2022)
Splendid Research GmbH: Studie: Digitale sprachassistenten und smart speaker (2019). https://www.splendid-research.com/de/studie-digitale-sprachassistenten. Accessed (2021)
Srivastava, B.M.L., et al.: Privacy and utility of x-vector based speaker anonymization. IEEE/ACM Trans. Audio Speech Lang. Process. 30, 2383–2395 (2022). https://doi.org/10.1109/TASLP.2022.3190741
Vimalkumar, M., Sharma, S.K., Singh, J.B., Dwivedi, Y.K.: ‘okay google, what about my privacy?’: user’s privacy perceptions and acceptance of voice based digital assistants. Comput. Hum. Behav. 120, 106763 (2021). https://doi.org/10.1016/j.chb.2021.106763
Wienrich, C., Reitelbach, C., Carolus, A.: The trustworthiness of voice assistants in the context of healthcare investigating the effect of perceived expertise on the trustworthiness of voice assistants, providers, data receivers, and automatic speech recognition. Front. Comput. Sci. 3, 685250 (2021). https://doi.org/10.3389/fcomp.2021.685250
Acknowledgements
One author (I.S.) of this research acknowledge funding by the Federal Ministry of Education and Research of Germany in the project Emonymous (project number S21060A) and funding by the Volkswagen Foundation in the project AnonymPrevent (AI-based Improvement of Anonymity for Remote Assessment, Treatment, and Prevention against Child Sexual Abuse).
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Haase, M., Krüger, J., Siegert, I. (2023). User Perspective on Anonymity in Voice Assistants. In: Salvendy, G., Wei, J. (eds) Design, Operation and Evaluation of Mobile Communications . HCII 2023. Lecture Notes in Computer Science, vol 14052. Springer, Cham. https://doi.org/10.1007/978-3-031-35921-7_11
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