Effects of Different Interaction Contexts when Evaluating Gaze Models in HRI

We previously introduced a responsive joint attention system that uses multimodal information from users engaged in a spatial reasoning task with a robot and communicates joint attention via the robot’s gaze behavior [25]. An initial evaluation of our system with adults showed it to improve users’ perceptions of the robot’s social presence. To investigate the repeatability of our prior findings across settings and populations, here we conducted two further studies employing the same gaze system with the same robot and task but in different contexts: evaluation of the system with external observers and evaluation with children. The external observer study suggests that third-person perspectives over videos of gaze manipulations can be used either as a manipulation check before committing to costly real-time experiments or to further establish previous findings. However, the replication of our original adults study with children in school did not confirm the effectiveness of our gaze manipulation, suggesting that different interaction contexts can affect the generalizability of results in human-robot interaction gaze studies. CCS CONCEPTS • Human-centered computing → User studies. ACM Reference Format: André Pereira, Catharine Oertel, Leonor Fermoselle, Joseph Mendelson, and Joakim Gustafson. 2020. Effects of Different Interaction Contexts when Evaluating Gaze Models in HRI. In Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’20), March 23– 26, 2020, Cambridge, United Kingdom. ACM, New York, NY, USA, 9 pages. https://doi.org/10.1145/3319502.3374810