Where to look: a study of human-robot engagement

By C. Sidner, Cory D. Kidd, Christopher Lee, Neal Lesh. 2004

378 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Social Psychology, Human-Computer Interaction, Robotics & Control

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Citations in the corpus

Human-centric Dialog Training via Offline Reinforcement Learning (2020, background): “Further, prior work has found that eliciting longer conversations can be a signal of engagement (Sidner et al., 2004; Zhou et al., 2018), and that reducing repetition and increasing speciﬁcity on the part of the model can improve conversation quality (See et al., 2019; Mehri and Eskenazi, 2020).”
Face transfer with multilinear models (2005, methodology): “…face model, we first acquire a range of 3D face scans, put them in full correspondence, appropriately arrange them into a data tensor (Figure 3), and use the N-mode SVD to compute a model that captures the face geometry and its variation due to attributes such as identity and expression.”
Conceptual spatial representations for indoor mobile robots (2008, background): “In combination with the dialogue model, this is closely related to [21].”
Footing in human-robot conversations: How robots might shape participant roles using gaze cues (2009, background): “In human-computer interaction research, the use of gaze cues in conversations has been extensively studied in the context of designing embodied conversational agents [8,21,26,36,40].”
How Robot Verbal Feedback Can Improve Team Performance in Human-Robot Task Collaborations (2015, background): “Relevant prior research on human-machine collaboration includes an extensive body of work on top-down deliberative approaches for modeling and constructing shared plans for collaboration [6, 18].”
Designing persuasive robots: How robots might persuade people using vocal and nonverbal cues (2012, background): “While a considerable amount of research in robotics has explored the role of non-verbal cues in human-robot interaction (e.g., [47, 5, 25]), the way in which these cues might shape the persuasive ability of a robot has not yet been studied.”
Social eye gaze in human-robot interaction (2017, background): “Tour guide robots might present a new technology to a user (Sidner, Kidd, Lee, & Lesh, 2004), provide route directions (Ono, Imai, & Ishiguro, 2001; Satake et al., 2010), or give location tours of indoor spaces (Knight & Simmons, 2013).”
To Err is Human(-like): Effects of Robot Gesture on Perceived Anthropomorphism and Likability (2013, background): “Since a large body of research (e.g., [17, 23, 26, 27]) has already focused on the role of robot gaze in human-robot interaction (HRI), our investigations concentrate on hand and arm gesture as a speciﬁc subpart of non-verbal communicative behavior.”