2004
Volume 52, Issue 1
  • ISSN: 1384-6930
  • E-ISSN: 1875-7286

Abstract

Samenvatting

Hoewel de literatuur over de adoptie en het gebruik van slimme speakers groeit, wordt de vraag wie de gezinnen met en zonder een apparaat zijn vaak verwaarloosd. Uit dit cross-sectioneel onderzoek onder Nederlandse ouders ( = 187) blijkt dat gezinnen met (34%) en zonder (66%) slimme speakers vooral in hun vertrouwen in technologie, internetgeletterdheid en voorkeursstijl van mediabemiddeling verschillen.

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2024-03-01
2024-10-06
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References

  1. Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.
    [Google Scholar]
  2. Abrams, A.M.H., Dautzenberg, P.S.C., Jakobowsky, C., Ladwig, S., & Rosenthal-von der Pütten, A.M. (2021). A Theoretical and Empirical Reflection on Technology Acceptance Models for Autonomous Delivery Robots. Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, 272–280. https://doi.org/10.1145/3434073.3444662
    [Google Scholar]
  3. Baruh, L., Secinti, E., & Cemalcilar, Z. (2017). Online Privacy Concerns and Privacy Management: A Meta-Analytical Review. Journal of Communication, 67(1), 26–53.
    [Google Scholar]
  4. Beirl, D., & Rogers, Y. (2019). Using Voice Assistant Skills in Family Life. Proceedings of CSCL, 8.
    [Google Scholar]
  5. Beneteau, E., Boone, A., Wu, Y., Kientz, J.A., Yip, J., & Hiniker, A. (2020). Parenting with Alexa: Exploring the Introduction of Smart Speakers on Family Dynamics. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–13. https://doi.org/10.1145/3313831.3376344
    [Google Scholar]
  6. Beneteau, E., Guan, Y., Richards, O.K., Zhang, M.R., Kientz, J.A., Yip, J., & Hiniker, A. (2020). Assumptions Checked: How Families Learn About and Use the Echo Dot. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 4(1), 3:1-3:23.
    [Google Scholar]
  7. Bentley, F., Luvogt, C., Silverman, M., Wirasinghe, R., White, B., & Lottridge, D. (2018). Understanding the Long-Term Use of Smart Speaker Assistants. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2(3), 1–24.
    [Google Scholar]
  8. Beyens, I., & Beullens, K. (2017). Parent–Child Conflict About Children’s Tablet Use: The role of parental mediation. New Media & Society, 19(12), 2075–2093.
    [Google Scholar]
  9. Beyens, I., & Valkenburg, P.M. (2019). Parental Media Mediation in Adolescence: A Comparative Study of Parent and Adolescent Reports. Journal of Broadcasting & Electronic Media, 63(4), 716–736.
    [Google Scholar]
  10. Beyens, I., Valkenburg, P.M., & Piotrowski, J.T. (2019). Developmental Trajectories of Parental Mediation Across Early and Middle Childhood. Human Communication Research, 45(2), 226–250.
    [Google Scholar]
  11. Broekman, F.L., Piotrowski, J.T., Beentjes, H.W.J., & Valkenburg, P.M. (2016). A Parental Perspective on Apps for Young Children. Computers in Human Behavior, 63, 142–151.
    [Google Scholar]
  12. Bronfenbrenner, U., & Morris, P.A. (1998). The Ecology of Developmental Processes. 19.
    [Google Scholar]
  13. Cingel, D.P., & Krcmar, M. (2013). Predicting Media Use in Very Young Children: The Role of Demographics and Parent Attitudes. Communication Studies, 64(4), 374–394.
    [Google Scholar]
  14. Davis, F.D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340.
    [Google Scholar]
  15. de Graaf, M.M., Ben Allouch, S., & van Dijk, J.A. (2018). A Phased Framework for Long-Term User Acceptance of Interactive Technology in Domestic Environments. New Media & Society, 20(7), 2582–2603.
    [Google Scholar]
  16. Direct Research. (2022, November20). Rapport: de Nationale Voice Monitor. Nationale Voice Monitor. https://pages.y.digital/nationale-voice-monitor
    [Google Scholar]
  17. Foster, E. (2020, January30). 53% of UK Kids Own Phones by Age Seven. Kidscreen. https://kidscreen.com/2020/01/30/53-of-uk-kids-own-phones-by-age-seven/
    [Google Scholar]
  18. Garg, R., HuaCui, & Kapadia, Y. (2021). “Learn, Use, and (Intermittently) Abandon”: Exploring the Practices of Early Smart Speaker Adopters in Urban India. Proc. ACM Human–Computer Interaction, 5, 1–28.
    [Google Scholar]
  19. Garg, R., & Sengupta, S. (2020). He Is Just Like Me: A Study of the Long-Term Use of Smart Speakers by Parents and Children. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 4(1), 1–24.
    [Google Scholar]
  20. Glikson, E., & Woolley, A.W. (2020). Human Trust in Artificial Intelligence: Review of Empirical Research. Academy of Management Annals, 14(2), 627–660.
    [Google Scholar]
  21. Goldenthal, E., Park, J., Liu, S.X., Mieczkowski, H., & Hancock, J.T. (2021). Not All AI are Equal: Exploring the Accessibility of AI-Mediated Communication Technology. Computers in Human Behavior, 125.
    [Google Scholar]
  22. Hoy, M.B. (2018). Alexa, Siri, Cortana, and More: An Introduction to Voice Assistants. Medical Reference Services Quarterly, 37(1), 81–88.
    [Google Scholar]
  23. Hu, L., & Bentler, P.M. (1999). Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria Versus New Alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55.
    [Google Scholar]
  24. Jones, J.S. (2021, June30). US smart home device owners satisfied, but could be more engaged. Smart Energy International. https://www.smart-energy.com/industry-sectors/customer-services-management/us-smart-home-device-owners-satisfied-but-could-be-more-engaged/
    [Google Scholar]
  25. KANTAR. (2019, March14). Gebruik smart speakers groeit explosief. Kantar TNS. https://www.tns-nipo.com/nieuws/persberichten/gebruik-smart-speakersgroeit-explosief
    [Google Scholar]
  26. Katz, E., Blumler, J.G., & Gurevitch, M. (1973). Uses and Gratifications Research. The Public Opinion Quarterly, 37(4), 509–523.
    [Google Scholar]
  27. Kinsella, B. (2019, March15). 5 Percent of Dutch Households Adopt Smart Speakers in Just 4.5 Months, Google Home is the Leader. Voicebot.Ai. http://voicebot.ai/2019/03/15/5-percent-of-dutch-households-adopt-smart-speakers-in-just-4-5-months-google-home-is-the-leader/
    [Google Scholar]
  28. Kline, P. (1999) A Handbook of Psychological Testing, 2nd edn. London: Routledge.
    [Google Scholar]
  29. Kline, R.B. (2015). Principles and Practice of Structural Equation Modeling, Fourth Edition. Guilford Publications.
    [Google Scholar]
  30. Kowalczuk, P. (2018). Consumer Acceptance of Smart Speakers: A Mixed Methods Approach. Journal of Research in Interactive Marketing, 12(4), 418–431.
    [Google Scholar]
  31. Kruikemeier, S., Boerman, S.C., & Bol, N. (2020). Breaching the Contract? Using Social Contract Theory to Explain Individuals’ Online Behavior to Safeguard Privacy. Media Psychology, 23(2), 269–292.
    [Google Scholar]
  32. Lau, J., Zimmerman, B., & Schaub, F. (2018). Alexa, Are You Listening?: Privacy Perceptions, Concerns and Privacy-Seeking Behaviors with Smart Speakers. Proceedings of the ACM on Human-Computer Interaction, 2(CSCW), 1–31.
    [Google Scholar]
  33. Lee, K., Lee, K.Y., & Sheehan, L. (2020). Hey Alexa! A Magic Spell of Social Glue? Sharing a Smart Voice Assistant Speaker and Its Impact on Users’ Perception of Group Harmony. Information Systems Frontiers, 22(3), 563–583.
    [Google Scholar]
  34. Lorenz, T., & Kapella, O. (2020). Children’s ICT Use and its Impact on Family Life. Literature review. 1–44. https://doi.org/10/ghd62w
    [Google Scholar]
  35. Lovato, S.B., & Piper, A.M. (2019). Young Children and Voice Search: What We Know From Human-Computer Interaction Research. Frontiers in Psychology, 10.
    [Google Scholar]
  36. McKnight, D.H., Carter, M., Thatcher, J.B., & Clay, P.F. (2011). Trust in a Specific Technology: An Investigation of its Components and Measures. ACM Transactions on Management Information Systems, 2(2), 1–25.
    [Google Scholar]
  37. McLean, G., & Osei-Frimpong, K. (2019). Hey Alexa… Examine the Variables Influencing the Use of Artificial Intelligent In-Home Voice Assistants. Computers in Human Behavior, 99, 28–37.
    [Google Scholar]
  38. Putnam, S.P. (2012). Promise of, Problems with, and Potential Refinement of the “Extremely Short Form of the CBQ”: A Comment on Sleddens, et al. (2012). Psychological Reports, 111(2), 618–620.
    [Google Scholar]
  39. Putnam, S. P., Sanson, A. V., & Rothbart, M. K. (2002). Child Temperament and Parenting. In M. H.Bornstein (Ed.), Handbook of parenting: Children and parenting (pp. 255–277). Lawrence Erlbaum Associates Publishers.
    [Google Scholar]
  40. Rosseel, Y. (2012). lavaan: An R Package for Structural Equation Modeling. Journal of Statistical Software, 48(2), 1–36.
    [Google Scholar]
  41. Silverstone, R. (1993). Time, Information and Communication Technologies and the Household. Time & Society, 2(3), 283–311.
    [Google Scholar]
  42. Sleddens, E.F.C., Hughes, S.O., O’Connor, T.M., Beltran, A., Baranowski, J.C., Nicklas, T.A., & Baranowski, T. (2012). The Children’s Behavior Questionnaire very Short Scale: Psychometric Properties and Development of a One-Item Temperament Scale. Psychological Reports, 110(1), 197–217.
    [Google Scholar]
  43. Sundar, S.S. (2020). Rise of Machine Agency: A Framework for Studying the Psychology of Human–AI Interaction (HAII). Journal of Computer-Mediated Communication, 25(1), 74–88.
    [Google Scholar]
  44. Sundar, S.S., & Limperos, A.M. (2013). Uses and Grats 2.0: New Gratifications for New Media. 23, 504–525.
    [Google Scholar]
  45. Tapper, J. (2020, October18). Alexa, Siri… Elsa? Children drive boom in smart speakers. The Guardian. http://www.theguardian.com/technology/2020/oct/18/alexa-sirielsa-children-drive-boom-in-smart-speakers
    [Google Scholar]
  46. Valkenburg, P.M., & Peter, J. (2013). The Differential Susceptibility to Media Effects Model. Journal of Communication, 63(2), 221–243.
    [Google Scholar]
  47. Valkenburg, P.M., & Piotrowski, J.T. (2017). Plugged in: How media attract and affect youth. Yale University Press.
    [Google Scholar]
  48. van Deursen, A.J.A.M., van der Zeeuw, A., de Boer, P., Jansen, G., & van Rompay, T. (2021). Digital Inequalities in the Internet of Things: Differences in Attitudes, Material Access, Skills, and Usage. Information, Communication & Society, 24(2), 258–276.
    [Google Scholar]
  49. van Deursen, A.J.A.M., & van Dijk, J.A. (2019). The First-Level Digital Divide Shifts from Inequalities in Physical Access to Inequalities in Material Access. New Media & Society, 21(2), 354–375.
    [Google Scholar]
  50. van Deursen, A.J.A.M.van, Helsper, E.J., & Eynon, R. (2016). Development and Validation of the Internet Skills Scale (ISS). Information, Communication & Society, 19(6), 804–823.
    [Google Scholar]
  51. van Dijk, J.A.G.M. van. (2005). The Deepening Divide: Inequality in the Information Society. SAGE Publications.
    [Google Scholar]
  52. Wald, R., Piotrowski, J.T., Araujo, T., & van Oosten, J.M.F. (2023). Virtual Assistants in the Family Home. Understanding Parents’ Motivations to Use Virtual Assistants with Their Child(ren). Computers in Human Behavior, 139, 107526.
    [Google Scholar]
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