LIZ CARTER, PH.D.
Human-Computer Interaction and Human-Robot Interaction Research
Social Group Interactions in a Role-Playing Game
Flailing, Hailing, Prevailing: Perceptions of Multi-Robot Failure Recovery Strategies
We examined four different ways that a robot system could recover after failure. Participants found systems where a single robot recovered on its own (through updating or re-embodiment) to be more competent and trustworthy than systems where a second robot had to take over.
Reig, S., Carter, E. J., Fong, T., Forlizzi, J., & Steinfeld, A. (2021, March). Flailing, Hailing, Prevailing: Perceptions of Multi-Robot Failure Recovery Strategies. In Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction (pp. 158-167). (link)
Playing Catch with Robots: Incorporating Social Gestures into Physical Interactions
Perceptions of Agent Loyalty with Ancillary Users
We examined how information quality and embodiment affected participant perceptions of agents in an escape room game. People can perceive an agent belonging to someone else as loyal or disloyal depending on its behavior. Also, people preferred robots in this context.
Reig, S., Carter, E. J., Tan, X. Z., Steinfeld, A., & Forlizzi, J. (2021). Perceptions of Agent Loyalty with Ancillary Users. International Journal of Social Robotics, 1-17. (link)
Imitating Human Movement with a Teleoperated Robotic Head
Imitating Human Movement with a Teleoperated Robotic Head
Impact of Explanation on Trust of a Novel Mobile Robot
The Impact of Adding Perspective-taking to Spatial Referencing During Human-Robot Interaction
Explanations for behavior can help counteract the novelty effect and distraction of monitoring a new robot as it performs in an unknown environment.
Rosenthal, S., and Carter, E.J. (2020). Impact of explanation on trust of a novel mobile robot. Proceedings of the Association for the Advancement of Artificial Intelligence Fall Symposium Series - Artificial Intelligence for Human-Robot Interaction: Trust Explainability in Artificial Intelligence for Human-Robot Interaction AI-HRI (AI-HRI '20), Washington DC, November 2020. (link)
We created a system in which robots could create spatial referring expressions to identify objects. Participants were faster and more accurate at retrieving items that were described from their own perspective.
Dogan, F.I., Gillet, S., Carter, E.J., and Leite, I. (2020). The impact of adding perspective-taking to spatial referencing during human–robot interaction. Robotics and Autonomous Systems, Vol. 134. https://doi.org/10.1016/j.robot.2020.103654 (link)
Diminished Reality for Close Quarters Robotic Telemanipulation
We used an augmented reality system to create a sense of "diminished reality"--removing a robot arm that blocked the user's view from a scene to improve telemanipulation.
Taylor, A. V., Matsumoto, A., Carter, E. J., Plopski, A., & Admoni, H. (2020, October). Diminished Reality for Close Quarters Robotic Telemanipulation. In 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 11531-11538). IEEE. (link)
Death of a Robot: Social Media Reactions and Language Usage when a Robot Stops Operating
When popular robots are discontinued (e.g., Kuri, Jibo, Mars Opportunity Rover), people take to social media to grieve. Their language around robots like Oppy often looks quite similar to their language around the deaths of human celebrities.
Carter, E. J., Reig, S., Tan, X. Z., Laput, G., Rosenthal, S., & Steinfeld, A. (2020). Death of a Robot: Social Media Reactions and Language Usage when a Robot Stops Operating. In Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (pp. 589-597). (link)
Social Group Interactions in a Role-Playing Game
Inducing Bystander Interventions During Robot Abuse with Social Mechanisms
Robots in real-world environments often face bad behaviors from humans. We investigated three potential response strategies with the goal of the robot eliciting help from another human to help them avoid abuse: ignoring the abuse, shutting down in response to it, or reacting emotionally. We found that the majority of the participants intervened to help the robot, and interventions happened for a wide range of reasons.
Tan, X.Z., Vázquez, M., Carter, E.J., Morales, C.G, & Steinfeld, A. (2018). Inducing bystander interventions during robot abuse with social mechanisms. Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, Chicago, March 2018. (link)
Playing Catch with Robots: Incorporating Social Gestures into Physical Interactions
Social Group Interactions in a Role-Playing Game
We present initial findings from an experiment in which participants played Mafia, an established role-playing game,
with our robot. In one condition, the robot played like the rest of the participants; in the other, the robot moderated the game. We discuss general aspects of the interaction, participants' perceptions, and the potential of this scenario for studying group spatial behavior from robotic platforms.
Vázquez, M., Carter, E.J., Vaz, J.A., Steinfeld, A., Hudson, S.E., & Forlizzi, J. (2015). Social group interactions in a role-playing game. Proceedings of the Tenth Annual Conference on Human-Robot Interaction (HRI 2015), Portland, Oregon, March 2015. (link)
Imitating Human Movement with a Teleoperated Robotic Head
Imitating Human Movement with a Teleoperated Robotic Head
Social Haptic Interaction between Robots and Children with Disabilities
Building on techniques utilizing semi-situated learning in an incremental crowd-working pipeline, this paper introduces an embodied agent that self-authors its own dialog for social chat using the autonomous use of crowd-workers and a generalization method that borrows and assesses the validity of dialog.
Kennedy, J., Leite, I., Pereira, A., Sun, M., Li, B., Jain, R., Cheng, R., Pincus, E., Carter, E.J., & Lehman, J.F. (2017). Learning and reusing dialog for repeated interactions with a situated social agent. International Conference on Intelligent Virtual Agents, Stockholm, August 2017. (link)
We designed a system to create haptic interactions with a robot for children with sensory and other physical disabilities.
Castro-González, A., Tan, X.Z., Carter, E.J., & Steinfeld, A. (2018). Social haptic interaction between robots and children with disabilities. Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, Chicago, March 2018. (link)
Augmented Reality Dialog Interface for Multimodal Teleoperation
We designed a system to create haptic interactions with a robot for children with sensory and other physical disabilities.
Pereira, A., Carter, E.J., Leite, I., Mars, J., & Lehman, J.F. (2017). Augmented reality dialog interface for multimodal teleoperation. Proceedings of the 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), Lisbon, August 2017.
Playing Catch with Robots: Incorporating Social Gestures into Physical Interactions
Participants smiled more and rated the robot as more engaging, responsive, and humanlike when it gestured upon making catching errors relative to when it did not.
Carter, E.J., Mistry, M.N., Carr, G.P.K., Kelly, B.A., & Hodgins, J.K. (2014). Playing catch with robots: Incorporating physical gestures into social interactions. Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication, Edinburgh, August 2014. (link)
Imitating Human Movement with a Teleoperated Robotic Head
Viewers found our method of processing head movement for a teleoperated system to be better than previous methods, such as rendering the raw pose data from a Kinect.
Agarwal, P., Al Moubayed, S., Alspach, A., Kim, J., Carter, E.J., Lehman, J.F., Yamane, K. (2016) Imitating human movement with teleoperated robotic head. Proceedings of the 25th IEEE International Symposium on Robot and Human Interactive Communication (Ro-Man), New York City, August 2016. (link)