HRI Reading Group
HRI Reading Group
This is a bi-weekly reading group; participation is open for interested students and researchers, please contact email@example.com.
The broad topic of this reading group is HRI & Language: we want to get an overview of the HRI literature that relates to dialogue and the use of language as main means for interaction.
Day and time: TBD.
Everyone is expected to have read the week's readings. In addition, the background readings may be of help for context.
Bring notes about reviewing aspects of what you have read: How would you summarise the paper? What are the strengths and weaknesses? What are possible limitations that the authors might not have mentioned?
J. Y. Chai, L. She, R. Fang, S. Ottarson, C. Littley, C. Liu, and K. Hanson, “Collaborative effort towards common ground in situated human-robot dialogue,” in 2014 9th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 2014, pp. 33–40.
Branigan, H. P., Pickering, M. J., Pearson, J., & McLean, J. F. (2010). Linguistic alignment between people and computers. Journal of pragmatics, 42(9), 2355-2368.
Wallbridge, C. D., Smith, A., Giuliani, M., Melhuish, C., Belpaeme, T., & Lemaignan, S. (2021). The effectiveness of dynamically processed incremental descriptions in human robot interaction. ACM Transactions on Human-Robot Interaction (THRI), 11(1), 1-24.
J. Hough and D. Schlangen, “It’s not what you do, it’s how you do it: Grounding uncertainty for a simple robot,” in 2017 12th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 2017, pp. 274–282.
Han, Z., Phillips, E., & Yanco, H. A. (2021). The Need for Verbal Robot Explanations and How People Would Like a Robot to Explain Itself. ACM Transactions on Human-Robot Interaction (THRI), 10(4), 1-42.
Arnold, T., Kasenberg, D., & Scheutz, M. (2021). Explaining in Time: Meeting Interactive Standards of Explanation for Robotic Systems. ACM Transactions on Human-Robot Interaction (THRI), 10(3), 1-23.
Thomas, P., Czerwinksi, M., McDuff, D., & Craswell, N. (2021). Theories of conversation for conversational IR. ACM Transactions on Information Systems (TOIS), 39(4), 1-23.
Stange, S., & Kopp, S. (2020, March). Effects of a social robot’s self-explanations on how humans understand and evaluate its behavior. In 2020 15th ACM/IEEE International Conference on Human-Robot Interaction (HRI) (pp. 619-627). IEEE.
Brandstetter, J., Beckner, C., Sandoval, E. B., & Bartneck, C. (2017, March). Persistent lexical entrainment in HRI. In Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction (pp. 63-72).
Pandey, L., Hasan, K., & Arif, A. S. (2021, May). Acceptability of Speech and Silent Speech Input Methods in Private and Public. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (pp. 1-13).
Rea, D. J., Schneider, S., & Kanda, T. (2021, March). " Is this all you can do? Harder!" The Effects of (Im) Polite Robot Encouragement on Exercise Effort. In Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction (pp. 225-233).
Aneja, D., Hoegen, R., McDuff, D., & Czerwinski, M. (2021, May). Understanding Conversational and Expressive Style in a Multimodal Embodied Conversational Agent. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (pp. 1-10).
Bansal, G., Wu, T., Zhou, J., Fok, R., Nushi, B., Kamar, E., ... & Weld, D. (2021, May). Does the whole exceed its parts? the effect of ai explanations on complementary team performance. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (pp. 1-16).
Gervits, F., Briggs, G., Roque, A., Kadomatsu, G. A., Thurston, D., Scheutz, M., & Marge, M. (2021, October). Decision-Theoretic Question Generation for Situated Reference Resolution: An Empirical Study and Computational Model. In Proceedings of the 2021 International Conference on Multimodal Interaction (pp. 150-158).
Dautzenberg, P. S. C., Voß, G. M. I., Ladwig, S., & Rosenthal-von der Pütten, A. M. (2021, August). Investigation of different communication strategies for a delivery robot: the positive effects of humanlike communication styles. In 2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN) (pp. 356-361). IEEE.
Hirschmanner, M., Gross, S., Zafari, S., Krenn, B., Neubarth, F., & Vincze, M. (2021, August). Investigating Transparency Methods in a Robot Word-Learning System and Their Effects on Human Teaching Behaviors. In 2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN) (pp. 175-182). IEEE.
Choi, D., Shi, W., Liang, Y. S., Yeo, K. H., & Kim, J. J. (2021, November). Controlling Industrial Robots with High-Level Verbal Commands. In International Conference on Social Robotics (pp. 216-226). Springer, Cham.
Doğan, F. I., Torre, I., & Leite, I. (2022, March). Asking Follow-Up Clarifications to Resolve Ambiguities in Human-Robot Conversation. In Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction (pp. 461-469).
H. Admoni, T. Weng, and B. Scassellati, “Modelling communicative be- haviours for object references in human-robot interaction,” in 2016 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2016, pp. 3352–3359.
S. Andrist, D. Bohus, E. Kamar, and E. Horvitz, “What went wrong and why? diagnosing situated interaction failures in the wild,” in International Conference on Social Robotics. Springer, 2017, pp. 293–303.
S. Andrist, X. Z. Tan, M. Gleicher, and B. Mutlu, “Conversational gaze aver- sion for humanlike robots,” in 2014 9th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 2014, pp. 25–32.
D. Bohus and E. Horvitz, “Facilitating multiparty dialog with gaze, gesture, and speech,” in International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction, 2010, pp. 1–8.
S. E. Brennan, “The grounding problem in conversations with and through computers,” Social and cognitive approaches to interpersonal communication, pp. 201–225, 1998.
D. Das, S. Banerjee, and S. Chernova, “Explainable ai for robot failures: Generating explanations that improve user assistance in fault recovery,” in Proceedings of the 2021 ACM/IEEE International Conference on Human- Robot Interaction, 2021, pp. 351–360.
K. Fischer, “How people talk with robots: Designing dialog to reduce user uncertainty,” AI Magazine, vol. 32, no. 4, pp. 31–38, 2011.
S. Kiesler, “Fostering common ground in human-robot interaction,” in RO- MAN 2005. IEEE International Workshop on Robot and Human Interactive Communication, 2005. IEEE, 2005, pp. 729–734.
M. Marge and A. I. Rudnicky, “Miscommunication detection and recovery in situated human–robot dialogue,” ACM Transactions on Interactive Intel- ligent Systems (TiiS), vol. 9, no. 1, pp. 1–40, 2019.
N. Mavridis, “A review of verbal and non-verbal human–robot interactive communication,” Robotics and Autonomous Systems, vol. 63, pp. 22–35, 2015.
G. Skantze, A. Hjalmarsson, and C. Oertel, “Exploring the e↵ects of gaze and pauses in situated human-robot interaction,” in Proceedings of the SIGDIAL 2013 Conference, 2013, pp. 163–172.
C. Torrey, S. R. Fussell, and S. Kiesler, “How a robot should give advice,” in 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 2013, pp. 275–282.
C. Torrey, A. Powers, S. R. Fussell, and S. Kiesler, “Exploring adaptive di- alogue based on a robot’s awareness of human gaze and task progress,” in Proceedings of the ACM/IEEE international conference on Human-robot in- teraction, 2007, pp. 247–254.
C. Torrey, A. Powers, M. Marge, S. R. Fussell, and S. Kiesler, “E↵ects of adaptive robot dialogue on information exchange and social relations,” in Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction, 2006, pp. 126–133.
T. Uchida, T. Minato, T. Koyama, and H. Ishiguro, “Who is responsible for a dialogue breakdown? an error recovery strategy that promotes cooperative intentions from humans by mutual attribution of responsibility in human- robot dialogues,” Frontiers in Robotics and AI, vol. 6, p. 29, 2019.
C. D. Wallbridge, S. Lemaignan, E. Senft, and T. Belpaeme, “Generating spatial referring expressions in a social robot: Dynamic vs. non-ambiguous,” Frontiers in Robotics and AI, vol. 6, p. 67, 2019.
T. Williams, D. Thames, J. Novako↵, and M. Scheutz, “”thank you for shar- ing that interesting fact!” e↵ects of capability and context on indirect speech act use in task-based human-robot dialogue,” in Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018.
Z. Yu, D. Bohus, and E. Horvitz, “Incremental coordination: Attention- centric speech production in a physically situated conversational agent,” in Proceedings of the 16th Annual Meeting of the Special Interest Group on Dis- course and Dialogue, 2015, pp. 402–406.