skip to main content
10.1145/3543829.3544514acmotherconferencesArticle/Chapter ViewAbstractPublication PagescuiConference Proceedingsconference-collections
short-paper

Assistant or Master: Envisioning the User Autonomy Implications of Virtual Assistants

Authors Info & Claims
Published:15 September 2022Publication History

ABSTRACT

Virtual assistants (VA) such as Alexa, Siri and Google Assistant are becoming increasingly popular. Recent literature has argued that VAs may raise ethical concerns for users’ autonomy. However, there is a lack of frameworks which can unite the wide range of autonomy concerns discussed in literature, as well as help designers envision the ethical implications of emerging VA technologies. This paper argues that designers and policymakers need to be sensitive to the ethical side of the future of virtual assistants, and systematic frameworks are required to aid their moral imagination. The paper proposes a framework to help designers imagine potential ethical concerns pertaining to users’ autonomy. We demonstrate the usefulness of the proposed framework by showing how existing ethical concerns can be situated within the framework. We also use the framework to imagine ethical concerns with emerging VA technologies. The proposed framework can aid in systematic identification of autonomy related ethical concerns within human computer interactions.

References

  1. João Santos, Joel J. P. C. Rodrigues, Bruno M. C. Silva, João Casal, Kashif Saleem, and Victor Denisov. 2016. An IoT-based mobile gateway for intelligent personal assistants on mobile health environments. Journal of Network and Computer Applications 71, 194–204. https://doi.org/10.1016/j.jnca.2016.03.014Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Arsénio Reis, Dennis Paulino, Hugo Paredes, and João Barroso. 2017. Using Intelligent Personal Assistants to Strengthen the Elderlies’ Social Bonds. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 10279, 593–602. https://doi.org/10.1007/978-3-319-58700-4_48Google ScholarGoogle ScholarCross RefCross Ref
  3. Umair Saad, Usama Afzal, Ahmad El-Issawi, and Mohamad Eid. 2017. A model to measure QoE for virtual personal assistant. Multimedia Tools and Applications 76, 12517-12537. https://doi.org/10.1007/s11042-016-3650-5Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Sangyeal Han and Heetae Yang. 2018. Understanding adoption of intelligent personal assistants: A parasocial relationship perspective. Industrial Management and Data Systems 118, 3, 618–636. https://doi.org/10.1108/IMDS-05-2017-0214Google ScholarGoogle ScholarCross RefCross Ref
  5. Qian Hu, Zhao Pan, and Jingwen Liu. 2019. The Duality of Autonomy on Continuous Usage of Intelligent Personal Assistants (IPAs): From Agency Perspective. In PACIS 2019 Proceedings 96. https://aisel.aisnet.org/pacis2019/96Google ScholarGoogle Scholar
  6. William Seymour, Reuben Binns, Petr Slovak, Max Van Kleek, and Nigel Shadbolt. 2020. Strangers in the Room: Unpacking Perceptions of 'Smartness' and Related Ethical Concerns in the Home. In Proceedings of the 2020 ACM Designing Interactive Systems Conference (DIS ’20), 841–854. https://doi.org/10.1145/3357236.3395501Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Peter-Paul Verbeek. 2006. Persuasive Technology and Moral Responsibility Toward an ethical framework for persuasive technologies. Paper for Persuasive 06.Google ScholarGoogle Scholar
  8. Lachlan Urquhart, Dominic Reedman-Flint, and Natalie Leesakul. 2019. Responsible domestic robotics: exploring ethical implications of robots in the home. Journal of Information, Communication and Ethics in Society 17, 2, 246-272. https://doi.org/10.1108/JICES-12-2018-0096Google ScholarGoogle ScholarCross RefCross Ref
  9. Josephine Lau, Benjamin Zimmerman, and Florian Schaub. 2018. Alexa, Are You Listening? Privacy Perceptions, Concerns and Privacy-seeking Behaviors with Smart Speakers. In Proceedings of the ACM on Human Computer Interaction 2, CSCW, Article 102 (November 2018), 31 pages. https://doi.org/10.1145/3274371Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Jongkeon Kim and Jeongyun Heo. 2021. Please Stop Listening While I Make a Private Call: Context-Aware In-Vehicle Mode of a Voice-Controlled Intelligent Personal Assistant with a Privacy Consideration. In: Moallem, A. (eds) HCII 2021: HCI for Cybersecurity, Privacy and Trust, 177-193. https://doi.org/10.1007/978-3-030-77392-2_12Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Cherie Lacey and Catherine Caudwell. (2019). Cuteness as a ‘Dark Pattern’ in Home Robots. 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI ‘19), Daegu, South Korea, 374-381. https://doi.org/10.1109/HRI.2019.8673274Google ScholarGoogle ScholarCross RefCross Ref
  12. Hilde A. M. Voorveld and Theo Araujo. How Social Cues in Virtual Assistants Influence Concerns and Persuasion: The Role of Voice and a Human Name. Cyberpsychology, Behavior, and Social Networking 23, 10, 689-696. https://doi.org/10.1089/cyber.2019.0205Google ScholarGoogle ScholarCross RefCross Ref
  13. Heather Suzanne Woods. 2018. Asking more of Siri and Alexa: feminine persona in service of surveillance capitalism. Critical Studies in Media Communication 35, 4, 334-349. https://doi.org/10.1080/15295036.2018.1488082Google ScholarGoogle ScholarCross RefCross Ref
  14. Anastasia Vugts, Mariëtte van den Hoven, Emely de Vet, and Marcel Verweij. 2020. How autonomy is understood in discussions on the ethics of nudging. Behavioural Public Policy 4, 1, 108-123. https://doi.org/10.1017/bpp.2018.5Google ScholarGoogle ScholarCross RefCross Ref
  15. Arunesh Mathur, Jonathan Mayer, and Mihir Kshirsagar. 2021. What Makes a Dark Pattern...Dark?: Design Attributes, Normative Considerations, and Measurement Methods. CHI Conference on Human Factors in Computing Systems (CHI ’21), Article 360 (May 2021), 18 pages, Yokohama, Japan. https://doi.org/10.1145/3411764.3445610Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Orsolya Friedrich, Eric Racine, Steffen Steinert, Johannes Pömsl, and Ralf J. Jox. 2018. An analysis of the impact of brain-computer interfaces on autonomy. Neuroethics 14, 17-29. https://doi.org/10.1007/s12152-018-9364-9Google ScholarGoogle ScholarCross RefCross Ref
  17. Dimitrios Rafailidis and Yannis Manolopoulos. 2019. Can Virtual Assistants Produce Recommendations? In Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics (WIMS2019), Article 4 (June 2019), 6 pages. https://doi.org/10.1145/3326467.3326468Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Michael Nagenborg. 2014. Surveillance and persuasion. Ethics and Information Technology 16, 43–49. https://doi.org/10.1007/s10676-014-9339-4Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Pelle Guldborg Hansen and Andreas Maaløe Jespersen (2013). Nudge and the Manipulation of Choice: A Framework for the Responsible Use of the Nudge Approach to Behaviour Change in Public Policy. European Journal of Risk Regulation 1, 3-28. https://ssrn.com/abstract=2555337Google ScholarGoogle ScholarCross RefCross Ref
  20. Jack W. Brehm. 1966. A theory of psychological reactance. Academic Press.Google ScholarGoogle Scholar
  21. Peter-Paul Verbeek. 2009. Ambient Intelligence and Persuasive Technology: The Blurring Boundaries Between Human and Technology. Nanoethics 3, 232-242. https://doi.org/10.1007/s11569-009-0077-8Google ScholarGoogle ScholarCross RefCross Ref
  22. Colin M. Gray, Shruthi Sai Chivukula, and Ahreum Lee. 2020. What Kind of Work Do "Asshole Designers" Create? Describing Properties of Ethical Concern on Reddit. ACM Designing Interactive Systems Conference (DIS ’20), Eindhoven, Netherlands. https://doi.org/10.1145/3357236.3395486Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Saul Greenberg, Sebastian Boring, Jo Vermeulen, and Jakub Dostal. 2014. Dark Patterns in Proxemic Interactions: A Critical Perspective. ACM Designing Interactive Systems Conference (DIS ’14), Vancouver, BC, Canada. https://doi.org/10.1145/2598510.2598541Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Chris Lewis. 2014. Irresistible Apps: Motivational Design Patterns for Apps, Games, and Web-based Communities. Apress.Google ScholarGoogle ScholarCross RefCross Ref
  25. Monika Betzler. 2009. Authenticity and self-governance. In Emotions, ethics, and authenticity, ed. Mikko Salmela and Verena Mayer, 51–68. John Benjamins Publishing Company.Google ScholarGoogle Scholar
  26. Sasha Burwell, Matthew Sample, and Eric Racine. 2017. Ethical aspects of brain computer interfaces: a scoping review. BMC Medical Ethics 18, Article 60, 11 pages. https://doi.org/10.1186/s12910-017-0220-yGoogle ScholarGoogle ScholarCross RefCross Ref
  27. Eli Pariser. 2017. The Filter Bubble: What the Internet Is Hiding from You. Penguin Books, London, UK.Google ScholarGoogle Scholar
  28. Daniel Susser, Beate Roessler, and Helen Nissenbaum. 2019. Technology, autonomy, and manipulation. Internet Policy Review 8, 2. https://doi.org/10.14763/2019.2.1410Google ScholarGoogle ScholarCross RefCross Ref
  29. Alisha Pradhan, Kanika Mehta, and Leah Findlater. 2018. Accessibility Came by Accident: Use of Voice-Controlled Intelligent Personal Assistants by People with Disabilities. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, Article 459, 13 pages. http://dx.doi.org/10.1145/3173574.3174033Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Christopher Frauenberger, Katta Spiel, and Julia Makhaeva. 2019. Thinking OutsideTheBox - Designing Smart Things with Autistic Children. International Journal of Human–Computer Interaction 35, 8 (2019), 666–678. http://dx.doi.org/10.1080/10447318.2018.1550177Google ScholarGoogle ScholarCross RefCross Ref
  31. Jamie Sanders and Aqueasha Martin-Hammond. 2019. Exploring autonomy in the design of an intelligent health assistant for older adults. In Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion (IUI '19), 95–96. https://doi.org/10.1145/3308557.3308713Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Assistant or Master: Envisioning the User Autonomy Implications of Virtual Assistants

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Other conferences
        CUI '22: Proceedings of the 4th Conference on Conversational User Interfaces
        July 2022
        289 pages
        ISBN:9781450397391
        DOI:10.1145/3543829

        Copyright © 2022 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 15 September 2022

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • short-paper
        • Research
        • Refereed limited

        Acceptance Rates

        CUI '22 Paper Acceptance Rate12of33submissions,36%Overall Acceptance Rate34of100submissions,34%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      HTML Format

      View this article in HTML Format .

      View HTML Format