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.

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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
  46. 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
  47. 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
  48. 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
  49. 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
  50. 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
  51. 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
  52. 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
  53. 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
  54. 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
  55. 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
  56. 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
  57. 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
  58. 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
  59. 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
  60. 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
  61. 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
  62. 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
  63. 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
  64. 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
  65. W.-C. Chang, S. M. Ryan, S. Hasanzadeh, and B. Esmaeili, “Attributing responsibility for performance failure on worker-robot trust in construction collaborative tasks,” in Proceedings of the European Conference on Computing in Construction and the 40th International CIB W78 Conference, 2023. Available: https://doi.org/10.35490/EC3.2023.205
  66. F. Förster, M. Romeo, P. Holthaus, B. Nesset, M. J. G. Trigo, C. Dondrup, and J. E. Fischer, “Working with Troubles and Failures in Conversation Between Humans and Robots,” in Proceedings of the 5th International Conference on Conversational User Interfaces (CUI), 2023, pp. 1-4. Available: https://doi.org/10.1145/3571884.3597437
  67. M. K. Wozniak, R. Stower, P. Jensfelt, and A. Pereira, “What You See Is (not) What You Get: A VR Framework for Correcting Robot Errors,” in Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2023, pp. 243-247. Available: https://doi.org/10.1145/3568294.3580081
  68. Y. Shi, R. Zhang, C. Ma, and L. Wang, “Robot service failure: the double-edged sword effect of emotional labor in service recovery,” Journal of Service Theory and Practice, vol. 33, no. 1, pp. 72-88, Feb. 2023. Available: https://doi.org/10.1108/JSTP-03-2022-0048
  69. L.-K. Cheng, “Effects of service robots’ anthropomorphism on consumers’ attribution toward and forgiveness of service failure,” Journal of Consumer Behaviour, vol. 22, no. 1, pp. 67-81, Jan.-Feb. 2023. Available: https://doi.org/10.1002/cb.2112
  70. E. Arikan, N. Altinigne, E. Kuzgun, and M. Okan, “May robots be held responsible for service failure and recovery? The role of robot service provider agents’ human-likeness,” Journal of Retailing and Consumer Services, vol. 70, pp. 103175:1:11, Jan. 2023. Available: https://doi.org/10.1016/j.jretconser.2022.103175
  71. X. Wang, Y. Hwang, and P. Guchait, “When Robot (Vs. Human) Employees Say “Sorry” Following Service Failure,” International Journal of Hospitality & Tourism Administration, vol. 24, no. 4, pp. 540-562, 2023. Available: https://doi.org/10.1080/15256480.2021.2017812
  72. N. Meyer (née Mozafari), M. Schwede, M. Hammerschmidt, and W. H. Weiger, “Users taking the blame? How service failure, recovery, and robot design affect user attributions and retention,” Electron Markets, vol. 32, pp. 2491-2505, Dec. 2022. Available: https://doi.org/10.1007/s12525-022-00613-4
  73. M. Adamik, A. P. Madsen, and M. Rehm, “Explainability in Collaborative Robotics: The Effect of Informing the User on Task Performance and Trust,” in Proceedings of the 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2022, pp. 1252-1257. Available: https://doi.org/10.1109/RO-MAN53752.2022.9900613
  74. X. Xing, M. Song, Y. Duan, and J. Mou, “Effects of different service failure types and recovery strategies on the consumer response mechanism of chatbots,” Technology in Society, vol. 70, pp. 102049:1-12, Aug. 2022. Available: https://doi.org/10.1016/j.techsoc.2022.102049
  75. H. Yang, H. Xu, Y. Zhang, Y. Liang, and T. Lyu, “Exploring the effect of humor in robot failure,” Annals of Tourism Research, vol. 95, pp. 103425:1-15, July 2022. Available: https://doi.org/10.1016/j.annals.2022.103425
  76. S. Izquierdo-Badiola, G. Canal, C. Rizzo, and G. Alenyà, “Improved Task Planning through Failure Anticipation in Human-Robot Collaboration,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2022, pp. 7875-7880. Available: https://doi.org/10.1109/ICRA46639.2022.9812236
  77. H. N. Green, M. M. Islam, S. Ali, and T. Iqbal, “Who’s Laughing NAO? Examining Perceptions of Failure in a Humorous Robot Partner,” in Proceedings of the 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2022, pp. 313-322. Available: https://doi.org/10.1109/HRI53351.2022.9889353
  78. L. Onnasch and C. L. Hildebrandt, “Impact of Anthropomorphic Robot Design on Trust and Attention in Industrial Human-Robot Interaction,” ACM Transactions on Human-Robot Interaction (THRI), vol. 11, no. 1, pp. 1-24, Mar. 2022. Available: https://doi.org/10.1145/3472224
  79. D. Kontogiorgos, M. Tran, J. Gustafson, and M. Soleymani, “A Systematic Cross-Corpus Analysis of Human Reactions to Robot Conversational Failures,” Proceedings of the 2021 International Conference on Multimodal Interaction (ICMI), 2021, pp. 112-120. Available: https://doi.org/10.1145/3462244.3479887
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