Cited by 103Social Robot Interaction and HRIHuman-Automation Interaction and SafetyRobot Manipulation and Learning

The DOI matches its Crossref record; 75 of the 78 references it cites were found in a registry or an index; none of the 94 sources its claims cite is checked for support yet.

Taxonomy of Trust-Relevant Failures and Mitigation Strategies

Open access
Tolmeijer, Suzanne, Weiss, Astrid, Hanheide, Marc, Lindner, Felix, Powers, Thomas M., Dixon, Clare, Tielman, Myrthe L.·2020·Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction

Abstract

We develop a taxonomy that categorizes HRI failure types and their impact on trust to structure the broad range of knowledge contributions. We further identify research gaps in order to support fellow researchers in the development of trustworthy robots. Studying trust repair in HRI has only recently been given more interest and we propose a taxonomy of potential trust violations and suitable repair strategies to support researchers during the development of interaction scenarios. The taxonomy distinguishes four failure types: Design, System, Expectation, and User failures and outlines potential mitigation strategies. Based on these failures, strategies for autonomous failure detection and repair are presented, employing explanation, verification and validation techniques. Finally, a research agenda for HRI is outlined, discussing identified gaps related to the relation of failures and HR-trust.

Overview

Integrity signals

Registry

Crossref · 10.1145/3319502.3374793

Cites

75 of 75 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

0 of 94 cited sources checked · 0 supported · 0 flagged

Show all 32 claims

  • It may state two separate claims as one. 38
  • Probably not a substantial claim. 56
79 of 79
  • The paper relies on this without support.

    Human responses to robotic systems are complex and depend on factors such as the system's morphology, behaviour, and deployment context.

    “Human responses towards robotic systems are very complex in their nature and depend on many factors, such as the morphology and behavior of the system and the context in which they are deployed.”
  • The paper relies on this without support.

    Information about limitations following automation errors aids trust recovery.

    “Following errors of automation, information related to limitations further aid in trust recovery.”
  • The paper relies on this without support.

    No taxonomy for trust repair in HRI exists.

    “A taxonomy for trust repair in HRI does not exist, but a framework for rebuilding trust in automation has been proposed by Marinaccio et al. [55].”
  • The authors state this as an assumption.

    Once trust is broken because of a Design failure, redesigning the system becomes even more challenging.

    “However, we can assume that once trust is broken due to a Design failure, the redesign of the system becomes even more challenging.”
  • The paper relies on this without support.

    In human-human interaction, apologies are more effective than shifting blame elsewhere.

    “In human-human interaction, they are more effective than shifting the blame elsewhere.”
  • The authors state this as an assumption.

    Unintentional negative behaviour will not be repeated once the user becomes aware of it.

    “We assume that unintentional negative behavior will not be repeated once the user becomes aware of it.”
  • The paper relies on this without support.

    Robots that interact with humans in the wild will at some point face failure situations inflicted by the robot, the human, or unexpected environmental events.

    “Robots that interact with humans in the wild will at some point face failure situations, which can either be inflicted by the robot, the human, or by unexpected environmental events.”
  • The paper relies on this without support.

    It is in human nature to anthropomorphize robots, for example by projecting a personality onto them or reading emotions into their output.

    “It is in our nature to anthropomorphize robots, for example by projecting a personality onto the robot or reading emotions into its output.”
  • The authors state this as an assumption.

    There exists an empty action in the operator set with no preconditions, no delete list, and no add list.

    “We assume the existence of the empty action ϵ ∈ O, which has an empty precondition, an empty delete list, and an empty add list.”
9 of 9

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Software-failure ratio is reversed

    Minor

    At 3.5 interactions per operational hour and one software failure about every two hours, there are about seven interactions per failure-not seven software failures per interaction.

  • Marinaccio citation points to a different reference

    Minor

    The text attributes the trust-rebuilding framework to Marinaccio et al. at reference [55], but entry 55 is a paper by Malle et al. The Marinaccio paper is listed as entry 56.

2 of 2

Citations

Cites

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Show all 78 references

3 of the 78 references couldn’t be matched to a known paper.

Research works printed but not linked: 8

  1. Paul Gainer , Clare Dixon , Kerstin Dautenhahn , Michael Fisher , Ullrich Hustadt , Joe Saunders , and Matt Webster . 2017. CRutoN: Automatic Verification of aRobotic Assistant's Behaviours. InCritical Systems: Formal Methods and Auto-mated Verification - Joint 22nd International Workshop on Formal Methods forIndustrial Critical Systems - and - 17th International Workshop on AutomatedVerification of Critical Systems , FMICS-AVoCS 2017 , Turin, Italy, September 18--20,2017, Proceedings (Lecture Notes in Computer Science), Laure Petrucci, CristinaSeceleanu, and Ana Cavalcanti (Eds.), Vol. 10471 . Springer , Turin, Italy, 119--133.https://doi.org/10.1007/978--3--319--67113-0_8 10.1007/978--3--319--67113-0_8 Paul Gainer, Clare Dixon, Kerstin Dautenhahn, Michael Fisher, Ullrich Hustadt,Joe Saunders, and Matt Webster. 2017. CRutoN: Automatic Verification of aRobotic Assistant's Behaviours. InCritical Systems: Formal Methods and Auto-mated Verification - Joint 22nd International Workshop on Formal Methods forIndustrial Critical Systems - and - 17th International Workshop on AutomatedVerification of Critical Systems, FMICS-AVoCS 2017, Turin, Italy, September 18--20,2017, Proceedings (Lecture Notes in Computer Science), Laure Petrucci, CristinaSeceleanu, and Ana Cavalcanti (Eds.), Vol. 10471. Springer, Turin, Italy, 119--133.https://doi.org/10.1007/978--3--319--67113-0_8 · DOI
  2. Xiaowei Huang and Marta Zofia Kwiatkowska . 2017. Reasoning about CognitiveTrust in Stochastic Multiagent Systems. InProceedings of the Thirty-First AAAIConference on Artificial Intelligence , February 4--9 , 2017 , San Francisco, California ,USA., Satinder P. Singh and Shaul Markovitch (Eds.). AAAI Press , 3768--3774.http://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14566 Xiaowei Huang and Marta Zofia Kwiatkowska. 2017. Reasoning about CognitiveTrust in Stochastic Multiagent Systems. InProceedings of the Thirty-First AAAIConference on Artificial Intelligence, February 4--9, 2017, San Francisco, California,USA., Satinder P. Singh and Shaul Markovitch (Eds.). AAAI Press, 3768--3774.http://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14566
  3. John D. Lee and Katrina A . See . 2004 . Trust in Automation : Designing forAppropriate Reliance.Human Factors 46, 1 (2004), 50--80. John D. Lee and Katrina A. See. 2004. Trust in Automation: Designing forAppropriate Reliance.Human Factors46, 1 (2004), 50--80.
  4. Michael Lewis , Katia Sycara , and Phillip Walker . 2018. The Role of Trust inHuman-Robot Interaction. InFoundations of Trusted Autonomy , Hussein A.Abbass , Jason Scholz, and Darryn J. Reid (Eds.). Springer International Publishing ,Cham, 135--159. https://doi.org/10.1007/978--3--319--64816--3_8 10.1007/978--3--319--64816--3_8 Michael Lewis, Katia Sycara, and Phillip Walker. 2018. The Role of Trust inHuman-Robot Interaction. InFoundations of Trusted Autonomy, Hussein A.Abbass, Jason Scholz, and Darryn J. Reid (Eds.). Springer International Publishing,Cham, 135--159. https://doi.org/10.1007/978--3--319--64816--3_8 · DOI
  5. John K Rempel , John G Holmes , and Mark P Zanna . 1985. Trust in close relation-ships.Journal of personality and social psychology49, 1 ( 1985 ), 95. John K Rempel, John G Holmes, and Mark P Zanna. 1985. Trust in close relation-ships.Journal of personality and social psychology49, 1 (1985), 95.
  6. Laurence Thomas . 1987. Friendship. Synthese72, 2 ( 1987 ), 217--236 . Laurence Thomas. 1987. Friendship. Synthese72, 2 (1987), 217--236.
  7. Ning Wang , David V. Pynadath , and Susan G. Hill . 2016. Trust Calibration within a Human-Robot Team: Comparing Automatically Generated Explanations . In11th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE , New York, NY,USA, 109--116. Ning Wang, David V. Pynadath, and Susan G. Hill. 2016. Trust Calibration within a Human-Robot Team: Comparing Automatically Generated Explanations. In11th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE,New York, NY,USA, 109--116.
  8. M. Webster , D. Western , D. AraizaIllan , C. Dixon , K. Eder , M. Fisher , and A. Pipe . 2020. A Corroborative Approach to Verification and Validation of Human--RobotTeams.International Journal of Robotics Research39 ( 2020 ), 73--99. M. Webster, D. Western, D. AraizaIllan, C. Dixon, K. Eder, M. Fisher, and A. Pipe.2020. A Corroborative Approach to Verification and Validation of Human--RobotTeams.International Journal of Robotics Research39 (2020), 73--99.

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Metadata

Authors
Tolmeijer, S., Weiss, A., Hanheide, M., Lindner, F., Powers, T. M., Dixon, C., & Tielman, M. L.
Affiliations
  • University of Zurich (CH)
  • TU Wien (AT)
  • University of Lincoln (GB)
  • Universität Ulm (DE)
  • University of Delaware (US)
  • University of Liverpool (GB)
  • Delft University of Technology (NL)
Venue
Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
Publisher
ACM
Published
2020-03-09
Pages
3-12
OpenAlex
W3010109960
Cited by
103
References
78
Citations by year
2026: 6 · 2025: 22 · 2024: 18 · 2023: 17 · 2022: 14 · 2021: 20 · 2020: 6
FWCI
20.10
Type
conference paper
Language
en
Open access
Locations
  • ACM/IEEE International Conference on Human-Robot Interaction (HRI) (publishedVersion, other-oa)
  • Research Explorer (The University of Manchester) (publishedVersion, other-oa)
  • Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, other-oa)
  • Research Repository (Delft University of Technology) (submittedVersion, other-oa)
  • Zurich Open Repository and Archive (University of Zurich) (submittedVersion, other-oa)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
  • Zurich Open Repository and Archive (University of Zurich)
Funders
UKRIHubs for Robotics and AI in Hazardous Environments (EP/R026092(FAIR-SPACE), EP/R026084 (RAIN))
Topics
  • Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
  • Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
  • Physical Sciences › Engineering › Control and Systems Engineering › Robot Manipulation and Learning
Keywords
human-robot interaction, trust in robots, breach of trust, failure taxonomy, trust repair, design failure, system failure, explanation, verification and validation

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