In this paper we consider the development of a museum guide robot that has both autonomous and remotely controlled features. We focus on the capabilities such a robot could have to help focus the attention of a visitor on an object or artefact. Inspired by studies of social interaction, which investigate whether the robot could deploy "restarts" and "pauses" at certain moments in its talk to first elicit the visitor's attention/gaze towards the robot. We report an experiment where we deployed such a robot to interact with real visitors to a science museum. These experiments show that such a strategy does seem to have a significant impact on obtaining the visitor's gaze.

Recent developments in gaze tracking present new opportunities for social computing. This paper presents a study of Tama, a gaze actuated smart speaker. Tama was designed taking advantage of research on gaze in conversation. Rather than being activated with a wake word (such as "Ok Google") Tama detects the gaze of a user, moving an articulated 'head' to achieve mutual gaze. We tested Tama's use in a multi-party conversation task, with users successfully activating and receiving a response to over 371 queries (over 10 trials). When Tama worked well, there was no significant difference in length of interaction. However, interactions with Tama had a higher rate of repeated queries, causing longer interactions overall. Video analysis lets us explain the problems users had interacting with gaze. In the discussion, we describe implications for designing new gaze systems, using gaze both as input and output. We also discuss how the relationship to anthropomorphic design and taking advantage of learned skills of interaction. Finally, two paths for future work are proposed, one in the field of speech agents, and the second in using human gaze as an interaction modality more widely.

A long-standing challenge of video-mediated communication systems is to correctly represent remote participant gaze direction in local environments. A telepresence robot with a movable display that shows the face of a remote participant is a promising approach for solving this issue. Researchers generally consider that display orientation is effective for local participants to properly estimate the gaze direction of remote participants. We investigate how subjects estimate gaze direction of a remote participant ("Looker") when his/her face is displayed on a rotatable flat display. Our experiment reveals that both the Looker's head-eye rotation in the display and display rotation affect subject estimation, but the effect of the display rotation is relatively small. Furthermore, we reveal that subjects tend to overestimate Looker gaze direction. Based on our results, we propose a design implication for a telepresence robot to reduce overestimation and properly represent the remote participant gaze direction.

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We propose to artificially manipulate participants' vocal cues, amplitude and frequency, in real time to adjust their dominance and persuasiveness during audio conferences. We implemented a prototype system and conducted two experiments. The first experiment investigated the effect of vocal cue manipulation on the perception of dominance. The results showed that participants perceived higher dominance while listening to a voice with a high amplitude and low frequency. The second experiment investigated the effect of vocal cue manipulation on persuasiveness. The results indicated that a person with a low amplitude and low frequency voice had greater persuasiveness in conversations with biased dominance, while there was no statistically significant difference in persuasiveness in conversations with unbiased dominance.