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Towards a Participatory and Social Justice-Oriented Measure of Human-Robot Trust (2402.15671v1)

Published 24 Feb 2024 in cs.RO and cs.CY

Abstract: Many measures of human-robot trust have proliferated across the HRI research literature because each attempts to capture the factors that impact trust despite its many dimensions. None of the previous trust measures, however, address the systems of inequity and structures of power present in HRI research or attempt to counteract the systematic biases and potential harms caused by HRI systems. This position paper proposes a participatory and social justice-oriented approach for the design and evaluation of a trust measure. This proposed process would iteratively co-design the trust measure with the community for whom the HRI system is being created. The process would prioritize that community's needs and unique circumstances to produce a trust measure that accurately reflects the factors that impact their trust in a robot.

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References (71)
  1. Reflecting upon Participatory Design in Human-Robot Collaboration for People with Motor Disabilities: Challenges and Lessons Learned from Three Multiyear Projects. In The 14th PErvasive Technologies Related to Assistive Environments Conference. 147–155.
  2. Social robot co-design canvases: A participatory design framework. ACM Transactions on Human-Robot Interaction (THRI) 11, 1 (2021), 1–39.
  3. A participatory design process of a robotic tutor of assistive sign language for children with autism. In 2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE, 1–8.
  4. Enabling building service robots to guide blind people a participatory design approach. In 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 3–10.
  5. Toward an understanding of trust repair in human-robot interaction: Current research and future directions. ACM Transactions on Interactive Intelligent Systems (TiiS) 8, 4 (2018), 1–30.
  6. From characterising three years of HRI to methodology and reporting recommendations. In 2016 11th acm/ieee international conference on human-robot interaction (hri). IEEE, 391–398.
  7. The (fe) male robot: how robot body shape impacts first impressions and trust towards robots. International Journal of Social Robotics 13 (2021), 477–489.
  8. U.S. Census Bureau. [n. d.]. PROFILE OF GENERAL POPULATION AND HOUSING CHARACTERISTICS. U.S. Census Bureau. Accessed on 2 February 2024.
  9. Can you trust your trust measure?. In Proceedings of the 2021 ACM/IEEE international conference on human-robot interaction. 92–100.
  10. Michelle Fine and María Elena Torre. 2019. Critical participatory action research: A feminist project for validity and solidarity. Psychology of Women Quarterly 43, 4 (2019), 433–444.
  11. The Effect of Trust and its Antecedents on Robot Acceptance. RO-MAN 2023 SCRITA Workshop on Trust, Acceptance and Social Cues in Human-Robot Interaction (2023).
  12. Eduard Fosch-Villaronga and Hadassah Drukarch. 2023. Accounting for Diversity in Robot Design, Testbeds, and Safety Standardization. International Journal of Social Robotics (2023), 1–19.
  13. Eduard Fosch-Villaronga and Adam Poulsen. 2022. Diversity and Inclusion in Artificial Intelligence. Law and Artificial Intelligence: Regulating AI and Applying AI in Legal Practice (2022), 109–134.
  14. Gender Diversity of Conference Leadership [Women in Engineering]. IEEE Robotics & Automation Magazine 28, 2 (2021), 126–130.
  15. Designing trans technology: Defining challenges and envisioning community-centered solutions. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. 1–13.
  16. How Transgender People and Communities Were Involved in Trans Technology Design Processes. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. 1–16.
  17. A meta-analysis of factors affecting trust in human-robot interaction. Human factors 53, 5 (2011), 517–527.
  18. Common concerns with MTurk as a participant pool: Evidence and solutions. In Handbook of research methods in consumer psychology. Routledge, 319–337.
  19. Enactive Artificial Intelligence: Subverting Gender Norms in Robot-Human Interaction. Frontiers in Neurorobotics 17 (2023), 77.
  20. Patrick Holthaus and Alessandra Rossi. 2023. Common (good) practices measuring trust in HRI. RO-MAN 2023 SCRITA Workshop on Trust, Acceptance and Social Cues in Human-Robot Interaction (2023).
  21. Ayanna Howard and Monroe Kennedy III. 2020. Robots are not immune to bias and injustice. , eabf1364 pages.
  22. Quaneisha Jenkins and Xiaochun Jiang. 2010. Measuring Trust and Application of Eye Tracking in Human Robotic Interaction. In IIE Annual Conference. Proceedings. Institute of Industrial and Systems Engineers (IISE), 1.
  23. Foundations for an empirically determined scale of trust in automated systems. International journal of cognitive ergonomics 4, 1 (2000), 53–71.
  24. A time to trust: Trust as a function of time in human-robot interaction. In Trust in human-robot interaction. Elsevier, 143–157.
  25. Determinants of trust in human-robot interaction: Modeling, measuring, and predicting. In Trust in Human-Robot Interaction. Elsevier, 85–121.
  26. Zahra Rezaei Khavas. 2021. A review on trust in human-robot interaction. arXiv preprint arXiv:2105.10045 (2021).
  27. The Many Facets of Trust in AI: Formalizing the Relation Between Trust and Fairness, Accountability, and Transparency. arXiv preprint arXiv:2208.00681 (2022).
  28. Measurement of trust in automation: A narrative review and reference guide. Frontiers in psychology 12 (2021), 604977.
  29. Bing Cai Kok and Harold Soh. 2020. Trust in robots: Challenges and opportunities. Current Robotics Reports 1 (2020), 297–309.
  30. Raj Korpan. 2023. Trust in Queer Human-Robot Interaction. In RO-MAN 2023 SCRITA Workshop on Trust, Acceptance and Social Cues in Human-Robot Interaction.
  31. From Human to Robot Interactions: A Circular Approach towards Trustworthy Social Robots. RO-MAN 2023 SCRITA Workshop on Trust, Acceptance and Social Cues in Human-Robot Interaction (2023).
  32. Theresa Law and Matthias Scheutz. 2021. Trust: Recent concepts and evaluations in human-robot interaction. Trust in human-robot interaction (2021), 27–57.
  33. Charles H Lawshe et al. 1975. A quantitative approach to content validity. Personnel psychology 28, 4 (1975), 563–575.
  34. Configuring humans: What roles humans play in hri research. In 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 478–492.
  35. Steps toward participatory design of social robots: mutual learning with older adults with depression. In Proceedings of the 2017 ACM/IEEE international conference on human-robot interaction. 244–253.
  36. Maria Madsen and Shirley Gregor. 2000. Measuring human-computer trust. In 11th australasian conference on information systems, Vol. 53. Citeseer, 6–8.
  37. Bertram F Malle and Daniel Ullman. 2021. A multidimensional conception and measure of human-robot trust. In Trust in human-robot interaction. Elsevier, 3–25.
  38. Bertram F Malle and Daniel Ullman. 2023. Measuring Human-Robot Trust with the MDMT (Multi-Dimensional Measure of Trust). RO-MAN 2023 SCRITA Workshop on Trust, Acceptance and Social Cues in Human-Robot Interaction (2023).
  39. Stephanie M Merritt. 2011. Affective processes in human–automation interactions. Human Factors 53, 4 (2011), 356–370.
  40. Seth J Meyer and Nicole M Elias. 2022. Rainbow research: Challenges and recommendations for sexual orientation and gender identity and expression (SOGIE) survey design. VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations (2022), 1–7.
  41. What is robotics made of? The interdisciplinary politics of robotics research. Humanities and Social Sciences Communications 8, 1 (2021).
  42. Is it ethical to use Mechanical Turk for behavioral research? Relevant data from a representative survey of MTurk participants and wages. Behavior Research Methods (2023), 1–20.
  43. Bonnie Marlene Muir. 1989. Operators’ trust in and use of automatic controllers in a supervisory process control task. Ph. D. Dissertation. University of Toronto.
  44. Queer In AI: A Case Study in Community-Led Participatory AI. Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency (2023).
  45. Ethics, Equity, & Justice in Human-Robot Interaction: A Review and Future Directions. In 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE, 969–976.
  46. Models of (Often) Ambivalent Robot Stereotypes: Content, Structure, and Predictors of Robots’ Age and Gender Stereotypes. In Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction. 428–436.
  47. Giulia Perugia and Dominika Lisy. 2023. Robot’s gendering trouble: a scoping review of gendering humanoid robots and its effects on HRI. International Journal of Social Robotics (2023), 1–29.
  48. Maximizing the benefits of participatory design for human–robot interaction research with older adults. Human Factors 64, 3 (2022), 441–450.
  49. Selma Šabanović. 2010. Robots in society, society in robots: Mutual shaping of society and technology as a framework for social robot design. International Journal of Social Robotics 2, 4 (2010), 439–450.
  50. Would you trust a (faulty) robot? Effects of error, task type and personality on human-robot cooperation and trust. In Proceedings of the tenth annual ACM/IEEE international conference on human-robot interaction. 141–148.
  51. The hidden cost of using Amazon Mechanical Turk for research. In HCI International 2021-Late Breaking Papers: Design and User Experience: 23rd HCI International Conference, HCII 2021, Virtual Event, July 24–29, 2021, Proceedings 23. Springer, 147–164.
  52. Kristin Schaefer. 2013. The perception and measurement of human-robot trust. Ph. D. Dissertation. University of Central Florida.
  53. Kristin E Schaefer. 2016. Measuring trust in human robot interactions: Development of the “trust perception scale-HRI”. In Robust intelligence and trust in autonomous systems. Springer, 191–218.
  54. What do you mean by trust? Establishing shared meaning in interdisciplinary design for assistive technology. International Journal of Social Robotics 13 (2021), 1879–1897.
  55. Katie Seaborn. 2023. Diversity Not Discussed: Centring Overlooked Factors of Inclusion within Human-Robot Interaction. Inclusive HRI II: Workshop on Equity and Diversity in Design, Application, Methods, and Community (DEI) at HRI ’23 (2023).
  56. Not Only WEIRD but “Uncanny”? A Systematic Review of Diversity in Human–Robot Interaction Research. International Journal of Social Robotics (2023), 1–30.
  57. Clay Spinuzzi. 2005. The methodology of participatory design. Technical communication 52, 2 (2005), 163–174.
  58. Michael Stolp-Smith and Tom Williams. 2024. More Than Binary: Transgender and Nonbinary Perspectives on Human Robot Interaction. In Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI).
  59. Inclusive HRI II: Equity and Diversity in Design, Application, Methods, and Community. In Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction. 956–958.
  60. Laetitia Tanqueray and Stefan Larsson. 2023. What Norms Are Social Robots Reflecting? A Socio-Legal Exploration on HRI Developers. In Social Robots in Social Institutions. IOS Press, 305–314.
  61. Redesigning human-robot interaction in response to robot failures: a participatory design methodology. In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems. 1–8.
  62. Daniel Ullman. 2021. Developing a multi-dimensional model and measure of human-robot trust. Ph. D. Dissertation. Ph. D. Dissertation. Brown University, Providence, RI.
  63. Daniel Ullman and Bertram F Malle. 2019. Measuring gains and losses in human-robot trust: Evidence for differentiable components of trust. In 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 618–619.
  64. Tom Williams. 2024. Understanding Roboticists’ Power through Matrix Guided Technology Power Analysis. (2024).
  65. Voice in the Machine: Ethical Considerations for Language-Capable Robots. Commun. ACM 66, 8 (jul 2023), 20–23. https://doi.org/10.1145/3604632
  66. 15 Years of (Who) man Robot Interaction: Reviewing the H in Human-Robot Interaction. ACM Transactions on Human-Robot Interaction 12, 3 (2023), 1–28.
  67. Feminist human-robot interaction: Disentangling power, principles and practice for better, more ethical HRI. In Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction. 72–82.
  68. LEADOR: A method for end-to-end participatory design of autonomous social robots. Frontiers in Robotics and AI 8 (2021), 704119.
  69. Rosemarie E Yagoda and Douglas J Gillan. 2012. You want me to trust a ROBOT? The development of a human–robot interaction trust scale. International Journal of Social Robotics 4 (2012), 235–248.
  70. Robots for Social Justice (R4SJ): Toward a More Equitable Practice of Human-Robot Interaction. In Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI).
  71. Douglas Zytko and Wing-Yue Geoffrey Louie. 2022. Ethical Considerations When Constructing Participatory Design Protocols for Social Robots. PD/EUP workshop at the ACM/IEEE International Conference on Human-Robot Interaction (HRI ‘22) (2022).

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  1. Raj Korpan
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