awesome-robot-failure-management

Human Factors

The following list compiles publications that consider human factors, such as explainability or human preferences, in the treatment of robot failures.

Scroll to the bottom of the page if you want to visualise a word cloud of the paper titles.

  1. Z. Mo, M. T. Liu, and S. Zheng, “Employee emotions and emotional labor after robot service failure: Anthropomorphism as moderator,” Journal of Hospitality and Tourism Management, vol. 68, pp. 101494:1-11, Sept. 2026. Available: https://doi.org/10.1016/j.jhtm.2026.101494
  2. Y. Topoglu, F. Krueger, S. Joshi, N. Rothstein, A. A. Franke, X. Li, J. Gratch, E. J. de Visser, and H. Ayaz, “Multilevel dynamics of the brain, hormones, mind, and behavior in social human-robot interaction,” Science Robotics, vol. 11, no. 116, pp. 1-18, July 2026. Available: https://doi.org/10.1126/scirobotics.aec1762
  3. S. Yang, J. Park, S. You, and Y. Chang, “Why Do Service Robots Fail? A Systematic Literature Review from a Service Design Perspective,” in Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2026, pp. 108-118. Available: https://doi.org/10.1145/3757279.3788665
  4. R. Tabatabaei, V. Kostakos, and W. Johal, “Oops, I Did It Again (But I Know It): Robot Failure Consistency and Awareness in Human-Robot Collaboration,” in Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI), 2026, pp. 1-18. Available: https://doi.org/10.1145/3772318.3790336
  5. A. Rouchitsas, X. Niu, G. Castellano, and D. G. Broo, ““What do I do now?”: Spontaneous Human Responses to Robot Effectiveness and Efficiency Malfunctions in Collaborative Robotics,” in Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI), 2026, pp. 1-17. Available: https://doi.org/10.1145/3772318.3793419
  6. D. Muravyov and N. Cila, “Designing with Fallibility: Examining the Knowledge Politics of Agency, Methods, and Motivations in Robot Failure Research,” in Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI), 2026. pp. 1-12. Available: https://doi.org/10.1145/3772318.3791110
  7. T. Gong, “Service Robot Failures’ Effect on Employees and Customers in Hospitality,” Cornell Hospitality Quarterly, Mar. 2026. Available: https://doi.org/10.1177/19389655261426343
  8. D. Goyeneche, L. Arango, F. Septianto, N. Pontes, and P. P. Leszczyc, “Emotionally competent robots: acknowledging customer anger in service failure,” Journal of Business Research, vol. 206, pp. 115971:1-12, Mar. 2026. Available: https://doi.org/10.1016/j.jbusres.2026.115971
  9. T. Gong and Y.-S. Huang, “When robots fail: Dual pathways of employee appraisals in hospitality,” Journal of Retailing and Consumer Services, vol. 90, pp. 104706:1-16, Mar. 2026. Available: https://doi.org/10.1016/j.jretconser.2025.104706
  10. Z. Zhu, L. Huang, W. Wu, Y. Zhao, and B. Tang, “Examining the interactive effects of service robot failure types and response methods on consumer forgiveness,” Journal of Hospitality Marketing & Management, vol. 35, Feb. 2026. Available: https://doi.org/10.1080/19368623.2026.2623404
  11. J. Wang, Z. Zhou, J. Ren, L. Liu, and A. M. Morrison, “From failure to forgiveness: Robots’ proactive role in the tourism industry,” Tourism Management, vol. 111, pp. 105246:1-11, Dec. 2025. Available: https://doi.org/10.1016/j.tourman.2025.105246
  12. R. Liu, J.-X. Hao, Y. Yu, and R. Law, “Likability Bias in Robot Service Failure Tolerance: A Three-Way Interaction Model of Travelers’ Psychological Ownership, Failure Severity, and Robot Likability,” International Journal of Tourism Research, vol. 27, no. 6, pp. e70158:1-19, Nov./Dec. 2025. Available: https://doi.org/10.1002/jtr.70158
  13. W. H. H. Lee, S. H. G. Chan, B. M. Tang, and Z. Song, “Robot or human? Manoeuvring switching intention after robot service failure,” PLOS One, vol. 21, no. 1, pp. e0340212:1-22, Nov. 2025. Available: https://doi.org/10.1371/journal.pone.0333616
  14. H. Huang, F. F. Chen, S. Q. Liu, and Y. Xing, “How task objectivity shapes customer responses to robot service failure,” Journal of Service Management, vol. 36, no. 5, pp. 690-710, Nov. 2025. Available: https://doi.org/10.1108/JOSM-07-2024-0323
  15. Y. Shi, B. Zhang, R. Zhang, and L. Yu, “Robot service failure: interaction effect of robot language style and customers’ sense of humor on service failure recovery,” Journal of Service Theory and Practice, pp. 1-26, Nov. 2025. Available: https://doi.org/10.1108/JSTP-03-2025-0099
  16. S. Atakishiyev, M. Salameh, and R. Goebel, “Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving,” IEEE Transactions on Intelligent Transportation Systems, vol. 26, no. 10, pp. 14516-14535, Oct. 2025. Available: https://doi.org/10.1109/TITS.2025.3574738
  17. E. Y. Chang, W. O. Torres, and H. S. Stuart, “Error recovery in wearable robotic Co-Grasping: the role of human-led correction,” Frontiers in Robotics and AI, vol. 12, Oct. 2025. Available: https://doi.org/10.3389/frobt.2025.1598296
  18. A. Naoum, P. Khanna, E. Yadollahi, M. Björkman, and C. Smith, “Adapting Robot’s Explanation for Failures Based on Observed Human Behavior in Human-Robot Collaboration,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025, pp. 15087-15094. Available: https://doi.org/10.1109/IROS60139.2025.11245659
  19. E. Merdin-Uygur and S. Ozturkcan, “From cafés to clinics: Consumer attitudes toward human-like and machine-like service robot failures,” International Journal of Hospitality Management, vol. 131, pp. 104319:1-4, Oct. 2025. Available: https://doi.org/10.1016/j.ijhm.2025.104319
  20. Y. Chen, J. Cao, S. Liu, M. Huang, F. Wan, and C. W. Chen, “Friend or Foe? An empirical study on the mechanisms triggering robot abuse,” Journal of Hospitality and Tourism Management vol. 64, pp. 101318, Sept. 2025. Available: https://doi.org/10.1016/j.jhtm.2025.101318
  21. D. Kostolani, B. Brenter and S. Schlund, ““Fluency in Failure”: The Impact of Interaction Modalities on Human-Robot Collaboration in Error Recovery,” in Proceedings of the 34th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2025, pp. 2529-2534. Available: https://doi.org/10.1109/RO-MAN63969.2025.11217786
  22. W. Wu and M. Brandão, “Robot Arms Too Short? Explaining Motion Planning Failures using Design Optimization,” in Proceedings of the 34th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2025, pp. 1881-1887. Available: https://doi.org/10.1109/RO-MAN63969.2025.11217709
  23. R. Janssens, J. De Bock, S. Labat, E. Verhelst, V. Hoste, and T. Belpaeme, “Why Robots Are Bad at Detecting Their Mistakes: Limitations of Miscommunication Detection in Human-Robot Dialogue,” in Proceedings of the 34th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2025, pp. 885-892. Available: https://doi.org/10.1109/RO-MAN63969.2025.11217636
  24. H. Jiang, F. Meng, and X. Zhang, “Breaking the mold: Is there a gender stereotype when robot service failures happen?,” International Journal of Hospitality Management, vol. 129, pp. 104210:1-12, Aug. 2025. Available: https://doi.org/10.1016/j.ijhm.2025.104210
  25. R. A. Patamia, H. P. T. Dinh, M. Liu, and A. Cosgun, “Beyond Technical Failures: Multimodal Time-Series Modelling for Detecting Social Breakdowns and User Repair Attempts in Human-Robot Interaction,” in Proceedings of the 33rd ACM International Conference on Multimedia, 2025, pp. 14136-14142. Available: https://doi.org/10.1145/3746027.3762074
  26. S. Cao, M. Stiber, A. Mahmood, M. T. Parreira, W. Ju, M. Spitale, H. Gunes, and C.-M. Huang, “ERR@HRI 2.0 Challenge: Multimodal Detection of Errors and Failures in Human-Robot Conversations,” in Proceedings of the 33rd ACM International Conference on Multimedia, 2025, pp. 14130-14135. Available: https://doi.org/10.1145/3746027.3762073
  27. L. Chen, Y. Cai, Y. Fang, Z. Yang, D. Xia, J. You, S. Xiao, Y. Song, L. Zhan, J. Chen, and L. Sun, “Observing a robot peer’s failures facilitates students’ classroom learning,” Science Robotics, vol. 10, no. 106, Sept. 2025. Available: https://doi.org/10.1126/scirobotics.adu5257
  28. D. Rudaz and C. Licoppe, “Should robots display what they hear? Mishearing as a practical accomplishment,” Frontiers in Robotics and AI, vol. 12, Sept. 2025. Available: https://doi.org/10.3389/frobt.2025.1597276
  29. C. Zhang and S. K. Lee, ““But You Shouldn’t Blame Me”: A Cross-National Comparison of the Effects of Performance Failures and Trust Repairs in Human–Robot Interactions,” ACM Transactions on Human-Robot Interaction, vol. 15, no. 1, pp. 1-28, Sept. 2025. Available: https://doi.org/10.1145/3746461
  30. Z. Huang, and A. Lo, “Human vs. robot service provider agents in service failures: comparing customer dissatisfaction and the mediating role of forgiveness and service recovery expectation,” Information Technology & Tourism, vol. 27, pp. 417-448, June 2025. Available: https://doi.org/10.1007/s40558-025-00314-6
  31. M. Gong, A. Li, and J. Zhang, “The impact of intelligent robot service failures on customer responses –a perspective based on mind perception theory,” Frontiers in Robotics and AI, vol. 12, June 2025. Available: https://doi.org/10.3389/frobt.2025.1581083
  32. G. LeMasurier, “Enabling Novices to Diagnose Robot Failures by Aligning Users’ Mental Models of Robots,” in Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization (UMAP), 2025, pp. 383-387. Available: https://doi.org/10.1145/3699682.3727573
  33. J. L. Crider, R. C. Preston, and N. T. Fitter, “How Sound-Based Robot Communication Impacts Perceptions of Robotic Failure,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2025, pp. 1400-1406. Available: https://doi.org/10.1109/ICRA55743.2025.11127738
  34. H. N. Nguyen, N. T. Nguyen, and M. Hancer, “Human-robot collaboration in service recovery: Examining apology styles, comfort emotions, and customer retention,” International Journal of Hospitality Management, vol. 126, pp. 104028:1:14, Apr. 2025. Available: https://doi.org/10.1016/j.ijhm.2024.104028
  35. B. Ding, Z. Guo, and W. Liu, “The influence of an additional robot apology and robot gender after a human service failure,” Industrial Management & Data Systems, vol. 125, no. 8, pp. 2398-2425, Apr. 2025. Available: https://doi.org/10.1108/IMDS-01-2024-0061
  36. P. Khanna, “Adapting Robotic Explanations for Robotic Failures in Human Robot Collaboration,” in Proceedings of the 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2025, pp. 1863-1865. Available: https://doi.org/10.1109/HRI61500.2025.10973943
  37. R. Tabatabaei, V. Kostakos, and W. Johal, “Real-Time Detection of Robot Failures Using Gaze Dynamics in Collaborative Tasks,” in Proceedings of the 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2025, pp. 1660-1664. Available: https://doi.org/10.1109/HRI61500.2025.10973922
  38. S. Liu, M. T. Parreira, and W. Ju, ““I’m Done”: Describing Human Reactions to Successive Robot Failure,” in Proceedings of the 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2025, pp. 1458-1462. Available: https://doi.org/10.1109/HRI61500.2025.10974098
  39. P. Khanna, A. Naoum, E. Yadollahi, M. Björkman, and C. Smith, “REFLEX Dataset: A Multimodal Dataset of Human Reactions to Robot Failures and Explanations,” in Proceedings of the 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2025, pp. 1032-1036. Available: 10.1109/HRI61500.2025.10974185
  40. R. Tabatabaei, V. Kostakos, and W. Johal, “Gazing at Failure: Investigating Human Gaze in Response to Robot Failure in Collaborative Tasks,” in Proceedings of the 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2025, pp. 939-948. Available: https://doi.org/10.1109/HRI61500.2025.10973935
  41. X. Liu, L. Zhang, M. S. Lin, and G. Jia, “Paying for robotic errors: exploring the relationship between robot service failure stressors, emotional labor and recovery work engagement,” International Journal of Contemporary Hospitality Management, vol. 37, no. 6, pp. 2023-2048, Mar. 2025. Available: https://doi.org/10.1108/IJCHM-08-2024-1188
  42. E. Merdin-Uygur and S. Ozturkcan, “The robot saw it coming: physical human interference, deservingness, and self-efficacy in service robot failures” Behaviour & Information Technology, vol. 44, no. 7, pp. 1320-1339, 2025. Available: https://doi.org/10.1080/0144929X.2024.2351195
  43. Y. Liu and X. Wang, “Can service robots recover themselves? The effect of service recovery agents and robot service failure types on customer response,” International Journal of Hospitality Management, vol. 124, pp. 103951, Jan. 2025. Available: https://doi.org/10.1016/j.ijhm.2024.103951
  44. K. Ma, X. Duan, X. Fu, W. Liu, and M. Zheng, “Effects of human-robot interaction type on customer tolerance of humanoid robot service failure,” Journal of Hospitality Marketing & Management, vol. 34, no, 1, pp. 72-91, 2025. Available: https://doi.org/10.1080/19368623.2024.2379263
  45. J. Huo, L. Gong, Y. Xi, Y. Chen, D. Chen, and Q. Yang, “Mind the voice! The effect of service robot voice vividness on service failure tolerance,” Journal of Travel & Tourism Marketing, vol. 42, no. 1, pp. 1-19, 2025. Available: https://doi.org/10.1080/10548408.2024.2425095
  46. H. Q. Ngo, E. J. Carter, and A. Steinfeld, “Human Perception of Robot Failure and Explanation During a Pick-and-Place Task” Proceedings of the AAAI Symposium Series, vol. 4, no. 1, pp. 373-379, Nov. 2024. Available: https://doi.org/10.1609/aaaiss.v4i1.31819
  47. M. Galbraith, “An analysis of dialogue repair in virtual assistants,” Frontiers in Robotics and AI, vol. 11, Nov. 2024. Available: https://doi.org/10.3389/frobt.2024.1356847
  48. M. Spitale, M. T. Parreira, M. Stiber, M. Axelsson, N. Kara, G. Kankariya, C.-M. Huang, M. Jung, W. Ju, and H. Gunes, “ERR@HRI 2024 Challenge: Multimodal Detection of Errors and Failures in Human-Robot Interactions,” in Proceedings of the 26th International Conference on Multimodal Interaction (ICMI), 2024, pp. 652-656. Available: https://doi.org/10.1145/3678957.3689030
  49. Y. M. Youssef and T. Hassan, “Towards Multimodal Co-Construction of Explanations for Robots: Combining Inductive Logic Programming and Large Language Models to Explain Robot Faults,” in Companion Proceedings of the 26th International Conference on Multimodal Interaction (ICMI), 2024, pp. 228-230. Available: https://doi.org/10.1145/3686215.3689204
  50. P. Pramanick, L. Raggioli, A. Rossi, and S. Rossi, “Effects of Incoherence in Multimodal Explanations of Robot Failures,” in Companion Proceedings of the 26th International Conference on Multimodal Interaction (ICMI), 2024, pp. 6-10. Available: https://doi.org/10.1145/3686215.3690155
  51. P. Pramanick and S. Rossi, “Multimodal Coherent Explanation Generation of Robot Failures,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024, pp. 2487-2493. Available: https://doi.org/10.1109/IROS58592.2024.10802671
  52. H. Huang, F. F. Chen, and S. Q. Liu, “Gender Stereotyping in Robot Service Failures,” Journal of Hospitality & Tourism Research, vol. 50, no. 1, pp. 97-110, Oct. 2024. Available: https://doi.org/10.1177/10963480241296065
  53. L. Tisserand, B. Stephenson, H. Baldauf-Quilliatre, M. Lefort, and F. Armetta, “Unraveling the thread: understanding and addressing sequential failures in human-robot interaction,” Frontiers in Robotics and AI, vol. 11, Sept. 2024. Available: https://doi.org/10.3389/frobt.2024.1359782
  54. H. R. Cameron, S. Castle-Green, M. Chughtai, L. Dowthwaite, A. Kucukyilmaz, H. A. Maior, V. Ngo, E. Schneiders, and B. C. Stahl, “A Taxonomy of Domestic Robot Failure Outcomes: Understanding the impact of failure on trustworthiness of domestic robots,” in Proceedings of the Second International Symposium on Trustworthy Autonomous Systems (TAS), 2024, pp. 1-14. Available: https://doi.org/10.1145/3686038.3686050
  55. C. P. Lee, P. Praveena, and B. Mutlu, “REX: Designing User-centered Repair and Explanations to Address Robot Failures” in Proceedings of the ACM Designing Interactive Systems Conference (DIS), 2024 pp. 2911-2925. Available: https://doi.org/10.1145/3643834.3661559
  56. G. LeMasurier, C. Tagliamonte, J. Breen, D. Maccaline, and H. A. Yanco, “Templated vs. Generative: Explaining Robot Failures,” in Proceedings of the 33rd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2024, pp. 1346-1353. Available: Available: https://doi.org/10.1109/RO-MAN60168.2024.10731331
  57. J. (J.) Yu, X. (R.) L., M. He, L. (M.) H., and J. (J.) Li, “It takes two to empower: Customer responses to empowerment recovery in the context of robot service failure,” International Journal of Hospitality Management, vol. 120, pp. 103759, July 2024. Available: https://doi.org/10.1016/j.ijhm.2024.103759
  58. S. Honig, A. Bartal, Y. Parmet, and T. Oron-Gilad, “Using Online Customer Reviews to Classify, Predict, and Learn About Domestic Robot Failures,” International Journal of Social Robotics, vol. 16, pp. 1105-1130, June 2024. Available: https://doi.org/10.1007/s12369-022-00929-3
  59. R. Gideoni, S. Honig, and T. Oron-Gilad, “Is It Personal? The Impact of Personally Relevant Robotic Failures (PeRFs) on Humans’ Trust, Likeability, and Willingness to Use the Robot,” International Journal of Social Robotics, vol. 16, pp. 1049-1067, June 2024. Available: https://doi.org/10.1007/s12369-022-00912-y
  60. S. Seo, X. Wu, and J. Choi, “Is her (his) gender matched or not matched with me? Gender (dis)match effect between customers and gendered service robots,” International Journal of Hospitality Management, vol. 119, pp. 103723:1-13, May 2024. Available: https://doi.org/10.1016/j.ijhm.2024.103723
  61. Y. Chang, C. Zhang, T. Li, and Y. Li, “Social cognition of humanoid robots on customer tolerance of service failure,” International Journal of Contemporary Hospitality Management, vol. 36, no. 7, pp. 2347-2366, May 2024. Available: https://doi.org/10.1108/IJCHM-02-2023-0250
  62. H. A. Frijns, M. Hirschmanner, B. Sienkiewicz, P. Hönig, B. Indurkhya, and M. Vincze, “Human-in-the-loop error detection in an object organization task with a social robot,” Frontiers in Robotics and AI, vol. 11, Apr. 2024. Available: https://doi.org/10.3389/frobt.2024.1356827
  63. C. Tagliamonte, D. Maccaline, G. LeMasurier, and H. A. Yanco, “A Generalizable Architecture for Explaining Robot Failures Using Behavior Trees and Large Language Models,” in Companion of the ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2024, pp. 1038-1042. Available: https://doi.org/10.1145/3610978.3640551
  64. S. Klein, J. Huch, N. Reißner, P. Zwolsky, K. Weitz, M. Kraus, and E. André, “Creating a Framework for a User-Friendly Cobot Failure Management in Human-Robot Collaboration,” in Companion of the ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2024, pp. 618-622. Available: https://doi.org/10.1145/3610978.3640591
  65. G. LeMasurier, A. Gautam, Z. Han, J. W. Crandall and H. A. Yanco, “Reactive or Proactive? How Robots Should Explain Failures,” in Proceedings of the 19th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2024, pp. 413-422. Available: https://doi.org/10.1145/3610977.3634963
  66. E. Roesler, M. Vollmann, D. Manzey, and L. Onnasch, “The dynamics of human–robot trust attitude and behavior - Exploring the effects of anthropomorphism and type of failure,” Computers in Human Behavior, vol. 150, pp. 108008, Jan. 2024. Available: https://doi.org/10.1016/j.chb.2023.108008
  67. Y. Ryoo, Y. A. Jeon, and W. Kim, “The blame shift: Robot service failures hold service firms more accountable,” Journal of Business Research, vol. 171, pp. 114360, Jan. 2024. Available: https://doi.org/10.1016/j.jbusres.2023.114360
  68. F. Förster, M. Romeo, P. Holthaus, L. J. Wood, C. Dondrup, J. E. Fischer, F. F. Liza, S. Kaszuba, J. Hough, B. Nesset, D. H. García, D. Kontogiorgos, J. Williams, E. E. Özkan, P. Barnard, G. Berumen, D. Price, S. Cobb, M. Wiltschko, L. Tisserand, M. Porcheron, M. Giuliani, G. Skantze, P. G. T. Healey, I. Papaioannou, D. Gkatzia, S. Albert, G. Huang, V. Maraev, and E. Kapetanios, “Working with troubles and failures in conversation between humans and robots: workshop report,” Frontiers in Robotics and AI, vol. 10, Dec. 2023. Available: https://doi.org/10.3389/frobt.2023.1202306
  69. J. Park, J. W. Yoo, Y. Cho, and H. Park, “Examining the impact of service robot communication styles on customer intimacy following service failure,” Journal of Retailing and Consumer Services, vol. 75, pp. 103511, Nov. 2023. Available: https://doi.org/10.1016/j.jretconser.2023.103511
  70. J. Cui and J. Zhong, “The effect of robot anthropomorphism on revisit intentions after service failure: a moderated serial mediation model,” Asia Pacific Journal of Marketing and Logistics, vol. 35, no. 11, pp. 2621-2644, Nov. 2023. Available: https://doi.org/10.1108/APJML-10-2022-0862
  71. X. Zhang, S. K. Lee, H. Maeng, and S. Hahn, “Effects of Failure Types on Trust Repairs in Human–Robot Interactions,” International Journal of Social Robotics, vol. 15, pp. 1619-1635, Oct. 2023. Available: https://doi.org/10.1007/s12369-023-01059-0
  72. A. Bremers, M. T. Parreira, X. Fang, N. Friedman, A. Ramirez-Aristizabal, A. Pabst, M. Spasojevic, M. Kuniavsky, and W. Ju, “The Bystander Affect Detection (BAD) Dataset for Failure Detection in HRI,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023, pp. 11443-11450. Available: https://doi.org/10.1109/IROS55552.2023.10342442
  73. P. Khanna, E. Yadollahi, M. Björkman, I. Leite, and C. Smith, “Effects of Explanation Strategies to Resolve Failures in Human-Robot Collaboration,” in Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2023, pp. 1829-1836. Available: https://doi.org/10.1109/RO-MAN57019.2023.10309394
  74. B. Nesset, M. Romeo, G. Rajendran, and H. Hastie, “Robot Broken Promise? Repair strategies for mitigating loss of trust for repeated failures,” in Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2023, pp. 1389-1395. Available: https://doi.org/10.1109/RO-MAN57019.2023.10309558
  75. H. S. Sætra, “Machiavelli for robots: Strategic robot failure, deception, and trust,” in Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2023, pp. 1381-1388. Available: https://doi.org/10.1109/RO-MAN57019.2023.10309455
  76. W. Kamino, N. Randall, T. Saga, L.-J. Hsu, K. M. Tsui, and S. Šabanović, “We All Make Mistakes: Terminal, Non-critical, Recoverable, and Favorable Interaction Failures Between People and a Social Robot,” in Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2023, pp. 1028-1033. Available: https://doi.org/10.1109/RO-MAN57019.2023.10309418
  77. C. C. Jorge, N. H. Bouman, C. M. Jonker, and M. L. Tielman, “Exploring the effect of automation failure on the human’s trustworthiness in human-agent teamwork,” Frontiers in Robotics and AI, vol. 10, Aug. 2023. Available: https://doi.org/10.3389/frobt.2023.1143723
  78. X. Zhang, S. K. Lee, W. Kim, and S. Hahn, ““Sorry, it was my fault”: Repairing trust in human-robot interactions,” International Journal of Human-Computer Studies, vol. 175, pp. 103031:1-13, July 2023. Available: https://doi.org/10.1016/j.ijhcs.2023.103031
  79. L. Scherf, A. Schmidt, S. Pal, and D. Koert, “Interactively learning behavior trees from imperfect human demonstrations,” Frontiers in Robotics and AI, vol. 10, July 2023. Available: https://doi.org/10.3389/frobt.2023.1152595
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