More Readings

For those interested in digging deeper into Human-Robot Interaction, here is an extended bibliography of worthwhile HRI papers, according to topics:

Introduction

Breazeal, C. (2004). Social Interactions in HRI: The Robot View. IEEE Transactions on SMC, Part C, 34(2), 181–186. Breazeal, C. (2002). Designing Sociable Machines: Lessons Learned. In K. Dautenhahn, A. H. Bond, L. Canamero, & B. Edmonds (Eds.), The Intentional Stance (pp. 149–156). Norwell, MA: Kluwer Academic Publishers.

Treating Objects as Agents with Mental States

Heider, F., & Simmel, M. (1944). An experimental study of apparent behavior. The American Journal of Psychology, 57(2), 243–259. Dennett, D. C. (1987). Three kinds of intentional psychology. In The Intentional Stance. Cambridge, MA: MIT Press. Scholl, B., & Tremoulet, P. (2000). Perceptual causality and animacy. Trends in Cognitive Sciences, 4(8), 299–309. Gao, T., Newman, G. E., & Scholl, B. J. (2009). The psychophysics of chasing : A case study in the perception of animacy. Cognitive Psychology, 59(2), 154–179.

Social Navigation

Sisbot et al. (2007). A human aware mobile robot motion planner. IEEE Transactions on Robotics, 23(5), 874-883. Papadakis et al. (2014). Adaptive spacing in human-robot interactions. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS’14), 2627–2632.

Surveys of Social Robotics / HRI

Fong, T., Nourbakhsh, I., & Dautenhahn, K. (2003). A Survey of Socially Interactive Robots. Robotics and Autonomous Systems, 42(November), 143–166. Goodrich, M. A., & Schultz, A. C. (2007). Human-Robot Interaction: A Survey. Foundations and Trends in Human-Computer Interaction, 1(3), 203–275.

Intention Recognition and Expression

Breazeal et al. (2009). An embodied cognition approach to mindreading skills for socially intelligent robots. The International Journal of Robotics Research, 28(5), 656-680. Koppula et al.  (2013). Learning human activities and object affordances from RGB-D videos. The International Journal of Robotics Research, 32(8), 951-970. Mainprice et al. (2015). Predicting human reaching motion in collaborative tasks using Inverse Optimal Control and iterative re-planning. In Proc. of the IEEE International Conference on Robotics and Automation (ICRA 2015), pp. 885-892. Clark-Turner & Begum (2018). Deep Reinforcement Learning of Abstract Reasoning from Demonstrations. In 2018 ACM/IEEE International Conference on Human-Robot Interaction (HRI). Mainprice et al. (2010). Planning safe and legible hand-over motions for human-robot interaction. In IARP workshop on technical challenges for dependable robots in human environments.

Human-Robot Collaboration

Hoffman & Breazeal (2004). Collaboration in Human-Robot Teams. In Proc. of the AIAA 1st Intelligent Systems Technical Conference, Chicago, IL, USA. Shah et al. (2011). Improved human-robot team performance using CHASKI, a human-inspired plan execution system. In Proceedings of the 6th international conference on Human-robot interaction, pp. 29-36. Shah et al. (2007). A Fast Incremental Algorithm for Maintaining Dispatchability of Partially Controllable Plans. International Conference on Automated Planning and Scheduling (ICAPS07), pp. 296-303). Hoffman, G., & Breazeal, C. (2010). Effects of anticipatory perceptual simulation on practiced human-robot tasks. Autonomous Robots, 28(4), 403-423. Koppula & Saxena (2013). Anticipating human activities using object affordances for reactive robotic response. Proceedings of Robotics: Science and Systems (RSS’13).   **See also: Journal version of the same paper in IEEE transactions on pattern analysis and machine intelligence, 38(1), 14-29. Sebanz, N., et al. (2006). Joint action: bodies and minds moving together. Trends in Cognitive Sciences, 10(2), 70-76. Cohen, P. R., & Levesque, H. J. (1991). Teamwork. Nous, 25(4), 487-512.

Designing Social Robots

Sirkin, D., Mok, B., Yang, S., & Ju, W. (2015). Mechanical ottoman: how robotic furniture offers and withdraws support. In Proc. of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI’15), pp. 11-18. Kahn, P. H., Freier, N. G., Kanda, T., Ishiguro, H., Ruckert, J. H., Severson, R. L., & Kane, S. K. (2008). Design patterns for sociality in human-robot interaction. In Proc. of the 3rd ACM/IEEE international conference on Human robot interaction (HRI’08), pp. 97-104. Hoffman, G., & Ju, W. (2014). Designing robots with movement in mind. Journal of Human-Robot Interaction, 3(1), 89-122.

Domestic Robots

Dautenhahn, K., Woods, S., Kaouri, C., Walters, M., Koay, K. L., & Werry, I. (2005). What is a robot companion — friend, assistant, or butler?, in IEEE International Conference on Intelligent Robots and Systems, IROS’05. Forlizzi, J. (2007). How Robotic Products Become Social Products : An Ethnographic Study of Cleaning in the Home. Human Factors. Gockley, R., et al. (2005). Designing robots for long-term social interaction. In 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.(IROS 2005). (pp. 1338–1343).

Workplace Robots

Hinds, P. J., Roberts, T. L., & Jones, H. (2004). Whose Job is it Anyway? A Study of Human-Robot Interaction in a Collaborative Task. Human Computer Interaction, 19(1&2), 151–181. Takayama, L., & Nass, C. (2008). Beyond Dirty , Dangerous and Dull : What Everyday People Think Robots Should Do. Assessment.

Assistive Robots

Feil-Seifer, D., & Matarić, M. (2011). Socially Assistive Robotics. IEEE Robotics & Automation Magazine, 18(1), 24–31. Sharkey, A., & Sharkey, N. (2012). Granny and the robots: ethical issues in robot care for the elderly. Ethics and Information Technology, 14(1), 27–40. Scassellati, B., Admoni, H., & Matarić, M. (2012). Robots for use in autism research. Annual review of biomedical engineering, 14, 275-294. Sabelli, A. M., Kanda, T., & Hagita, N. (2011). A conversational robot in an elderly care center: an ethnographic study. In Proc. of the 6th international conference on Human-robot interaction (HRI’11), pp. 37-44.

Nonverbal Behavior: Proxemics and Gestures

Mumm, J., & Mutlu, B. (2011). Human-robot proxemics: physical and psychological distancing in human-robot interaction. In Proceedings of the 6th international conference on Human-robot interaction – HRI ’11 (p. 331). Breazeal, C., Kidd, C. D., Thomaz, A. L., Hoffman, G., & Berlin, M. (2005). Effects of nonverbal communication on efficiency and robustness in human-robot teamwork. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Takayama, L., & Pantofaru, C. (2009). Influences on Proxemic Behaviors in Human-Robot Interaction. In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009. IROS’09 (pp. 5495–5502). Ammi et al. (2015). Haptic Human-Robot Affective Interaction in a Handshaking Social Protocol. In Proc. of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI’15), pp. 263-270. Cicirelli et al. (2015). A kinect-based gesture recognition approach for a natural human robot interface. International Journal of Advanced Robotic Systems, 12(3), 22. Dragan et al. (2015) Effects of robot motion on human-robot collaboration. In Proc. of the ACM/IEEE International Conference on Human-Robot Interaction (HRI’15), pp. 51-58. Brooks & Arkin (2007). Behavioral overlays for non-verbal communication expression on a humanoid robot. Autonomous Robots, 22(1), 55-74. Sigalas et al. (2009). Visual tracking of independently moving body and arms. In 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (pp. 3005-3010). IEEE.

Nonverbal Behavior: Gaze and Eye Contact

Srinivasan, V., & Murphy, R. R. (2011). A survey of social gaze. In Human-Robot Interaction (HRI), 2011 6th ACM/IEEE International Conference on (pp. 253–254). Rich, C., Ponsler, B., Holroyd, A., & Sidner, C. L. (2010). Recognizing engagement in human-robot interaction. In Human-Robot Interaction (HRI), 2010 5th ACM/IEEE International Conference on (pp. 375–382). Mutlu, B., Forlizzi, J., & Hodgins, J. (2006). A storytelling robot: Modeling and evaluation of human-like gaze behavior. In Humanoid Robots, 2006 6th IEEE-RAS International Conference on (pp. 518–523). Boucher, J.-D., Pattacini, U., Lelong, A., Bailly, G., Elisei, F., Fagel, S., … Ventre-Dominey, J. (2012). I reach faster when I see you look: gaze effects in human–human and human–robot face-to-face cooperation. Frontiers in Neurorobotics, 6. Admoni, H., Dragan, A., Srinivasa, S. S., & Scassellati, B. (2014). Deliberate delays during robot-to-human handovers improve compliance with gaze communication. In Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction (pp. 49–56). Moon, et al. (2014). Meet me where i’m gazing: how shared attention gaze affects human-robot handover timing. In Proc. of the 10th ACM/IEEE international conference on Human-robot interaction (HRI’14). Kuno et al. (2006). Museum guide robot with communicative head motion. In 15th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN’06), 33-38. IEEE. Mutlu et al. (2009). Nonverbal leakage in robots: Communication of intentions through seemingly unintentional behavior. 4th ACM/IEEE International Conference on Human-Robot Interaction (HRI’09), 69-76. Andrist et al. (2014). Conversational gaze aversion for humanlike robots. In Proceedings of the  ACM/IEEE international conference on Human-robot interaction (HRI’14), 25-32. Admoni et al. (2014). Deliberate delays during robot-to-human handovers improve compliance with gaze communication. In Proc. of the 10th ACM/IEEE international conference on Human-robot interaction (HRI’14). Argyle & Dean (1965). Eye-contact, distance and affiliation. Sociometry 28(3), 289-304.

Handovers

Strabala et al. (2013). Towards seamless human-robot handovers. Journal of Human-Robot Interaction, 2(1), 112-132. Sisbot & Alami (2012). A human-aware manipulation planner. IEEE Transactions on Robotics, 28(5), 1045-1057. Yamane et al. (2013). Synthesizing object receiving motions of humanoid robots with human motion database. In IEEE International Conference onRobotics and Automation (ICRA’13), 1629-1636. Shi et al. (2013). A Model of Distributional Handing Interaction for a Mobile Robot. In Robotics: Science and Systems (RSS’13). Huang et al. (2015). Adaptive Coordination Strategies for Human-Robot Handovers. In Proc. of Robotics: Science and Systems (RSS’2015).

Multimodal Dialog

Clark & Tree (2002). Using uh and um in spontaneous speaking. Cognition, 84(1), 73-111. Rybski et al. (2007). Interactive robot task training through dialog and demonstration. In Proceedings of the ACM/IEEE international conference on Human-robot interaction. 49-56. Chao & Thomaz (2012). Timing in multimodal turn-taking interactions: Control and analysis using timed petri nets. Journal of Human-Robot Interaction, 1(1). Bohus & Horvitz. (2014). Managing human-robot engagement with forecasts and… um… hesitations. In Proc. of the 16th international conference on multimodal interaction. 2-9. ACM.

Socially Guided Robot Learning and Learning from Demonstration

Meltzoff (2007). ‘Like me’: a foundation for social cognition. Developmental science, 10(1), 126-134. Thomaz & Cakmak (2009). Learning about objects with human teachers. In Proc. of the 4th ACM/IEEE international conference on Human robot interaction (HRI’09), pp. 15-22. [PDF] (^_^) Cakmak & Thomaz  (2012). Designing robot learners that ask good questions. In Proc. of the seventh annual ACM/IEEE international conference on Human-Robot Interaction (HRI’12), pp. 17-24. Griffith et al. (2013). Policy shaping: Integrating human feedback with reinforcement learning. In Advances in neural information processing systems 2625-2633. Knox et al. (2013). Training a robot via human feedback: A case study. In International Conference on Social Robotics (ICSR’13), 460-470. Chernova, S. and Veloso, M. (2010). Confidence-based multi-robot learning from demonstration. International Journal of Social Robotics, 2(2):195–215. Meltzoff, A. N., & Decety, J. (2003). What imitation tells us about social cognition: a rapprochement between developmental psychology and cognitive neuroscience. Philosophical Transactions of the Royal Society of London B: Biological Sciences, 358(1431), 491-500.

Persuasive Robots

Siegel, M., Breazeal, C., & Norton, M. I. (2009). Persuasive Robotics : The Influence of Robot Gender on Human Behavior. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 2563–2568). Rae, I., Takayama, L., & Mutlu, B. (2013). The influence of height in robot-mediated communication. In 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI) (pp. 1–8). Hoffman, G., Birnbaum, G. E., Vanunu, K., Sass, O., & Reis, H. T. (2014). Robot responsiveness to human disclosure affects social impression and appeal. In Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction (pp. 1–8).

Music Playing Robots

Weinberg, G., & Driscoll, S. (2006). Toward Robotic Musicianship. Computer Music Journal, 30(4), 28–45. Hoffman, G. (2011). On stage: Robots as performers. In RSS 2011 Workshop on Human-Robot Interaction: Perspectives and Contributions to Robotics from the Human Sciences.

Robots and Theater

Knight, H. (2011). Eight lessons learned about non-verbal interactions through robot theater. In Social Robotics (pp. 42–51). Springer. Dixon, S. (2004). Metal performance: humanizing robots, returning to nature, and camping about. The Drama Review, 48(4).

P-Values and Confidence Intervals

Kline (2004). Beyond significance testing: Reforming data analysis methods in behavioral research. Chapter 3. Washington, DC: APA Books. Simmons et al. (2011). False-positive psychology undisclosed flexibility in data collection and analysis allows presenting anything as significant. Psychological Science, 22 (11) 1359–1366. Cumming (2014).  The New Statistics: Why and How. Psychological Science, 25(1) 7–29. Cumming & Finch (2005). Inference by eye: confidence intervals, and how to read pictures of data.  American Psychologist, 60, 170–180.

Robots and Ethics

Wallach, W., & Allen, C. (2009). Moral machines: Teaching robots right from wrong. Oxford University Press. Malle, B. F., Scheutz, M., Arnold, T., Voiklis, J., & Cusimano, C. (2015). Sacrifice One For the Good of Many?: People Apply Different Moral Norms to Human and Robot Agents. In Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction (pp. 117-124). ACM. Kahn Jr, P. H., Kanda, T., Ishiguro, H., Gill, B. T., Ruckert, J. H., Shen, S., … & Severson, R. L. (2012, March). Do people hold a humanoid robot morally accountable for the harm it causes?. In Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction (pp. 33-40). Kahn Jr, P. H., Kanda, T., Ishiguro, H., Freier, N. G., Severson, R. L., Gill, B. T., … & Shen, S. (2012). “Robovie, you’ll have to go into the closet now”: Children’s social and moral relationships with a humanoid robot. Developmental psychology, 48(2), 303.

Philosophical Views

Turkle, S. (2007). Authenticity in the age of digital companions. Interaction Studies. Brooks, Rodney (1990) Elephants Don’t Play Chess. Robotics and Autonomous Systems 6: 3-15. Watt, S. (2009). Can people think? or machines? In R. Epstein, G. Roberts, & G. Beber (Eds.), Parsing the Turing Test (pp. 301-318). Springer Netherlands.