The role of expressiveness and attention in human-robot interaction

By A. Bruce, Illah Reza Nourbakhsh, Reid G. Simmons. Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292), 2002

330 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering, Social Psychology

View Paper: https://www.semanticscholar.org/paper/7e60de960786b506d64e14c139790aaf7bcdc036

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Citations in the corpus

Designing robots for long-term social interaction (2005, unknown): “Experiments with the robot Vikia studied the effects of attentive movement and an animated face on people's willingness to engage in a short interaction with a robot [1].”
Emotion and sociable humanoid robots (2003, background): “There are several projects that focus on the development of expressive robot faces, ranging in appearance from being graphically animated (Bruce et al., 2001), to resembling a mechanical cartoon (Takanobu et al., 1999; Scheef et al., 2000), to pursuing a more organic appearance (Hara, 1998; Hara…”
Trust in humanoid robots: implications for services marketing (2019, background): “This mechanism then suggests including human-like characteristics such as gaze, memory and gestures in the design of service robots (Bruce et al., 2001;Mutlu et al., 2009; Richards and Bransky, 2014; Salem et al., 2013).”
Where to look: a study of human-robot engagement (2004, background): “We plan to mobilize Mel so that he can attend to users and greet them [3], by not only finding their faces and offering greetings, but by approaching them.”
Theory and evaluation of human robot interactions (2003, background): “limited to some form of behavioral indications: a robot “smile” or an action on the part of the robot, such as staying in the correct lane on the highway, that gives the bystander an indication of competence [4,5] .”
What Makes a Good Conversation?: Challenges in Designing Truly Conversational Agents (2019, background): “the best approach to use to develop bond. This could be achieved through exploiting other modalities, especially in more embodied systems (e.g.[30]). Through gesture and facial expressions cues (e.g. [10, 13, 33]) embodiment may even help support speech-based conversation. Limitations and Future Wor”
Avoiding the uncanny valley: robot appearance, personality and consistency of behavior in an attention-seeking home scenario for a robot companion (2008, background): “Bruce et al. (2002) studied a robot that exhibited both appearance (a facial expression) and behavior (turning movement) cues.”
Common metrics for human-robot interaction (2006, unknown): “[3] and Schulte, Rosenberg et al.”
Expressing thought: Improving robot readability with animation principles (2011, methodology): “Studies run with a RWI B21 robot with leg-tracking capabilities found that people were significantly more likely to stop and interact with the robot it if turned its screen towards people passing by [5].”
Social eye gaze in human-robot interaction (2017, background): “Simply having a virtual face on the ﬂat-screen monitor of an embodied but non-anthropomorphic robot increases the number of users who stop when greeted by the robot (Bruce, 2002).”
Development environments for autonomous mobile robots: A survey (2007, background): “…learning (e.g., Russell, 2004; Blank et al., 2005), findings from human-robot interaction (HRI) research (e.g., Salter et al., 2005; Fong et al., 2006; Moshkina et al., 2006; Scheutz et al., 2006), and the study of social robotics (e.g., Bruce et al., 2002; Breazeal, 2003) will become commonplace.”
Measuring user competence in using artificial intelligence: validity and reliability of artificial intelligence literacy scale (2022, background): “For example, when users face a robot, they often interact with it through social logic instead of the logic to interact with the machine (Bruce, Nourbakhsh, and Simmons 2002; Vossen, Ham, and Midden 2010).”
A survey of socially interactive robots (2003, background): “Specific robotics applications can be reviewed in [26,114,127,154].”
Natural person-following behavior for social robots (2007, methodology): “The robot’s LCD screen is used to display an expressive, graphical face (Figure 2), which has been shown to encourage human interaction with the robot [3].”