Survey of Non-facial/Non-verbal Affective Expressions for Appearance-Constrained Robots

Bethel, Cindy L.; Murphy, Robin R.

doi:10.1109/tsmcc.2007.905845

Cited by 134 publications

(69 citation statements)

References 23 publications

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“…Bethel and Murphy [1] explored nonverbal and non-facial expressions in appearance-constrained robots, including those that might be used to approach people in search and rescue operations. Satake et al [8] and Hayashi et al [3] considered how robots approach people in train stations and shopping malls, respectively.…”

Section: Exploring Minimal Nonverbal Interruption In Hrimentioning

confidence: 99%

Exploring minimal nonverbal interruption in HRI

2011

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Abstract-Designing robotic behaviours capable of initiating an interruption will be extremely important as robots increasingly interact with people. Consequently, we explore the social impact of a minimal set of physical nonverbal cues that can be exhibited by a robot to initiate robot-human interruption: (a) speed of motion, (b) gaze, (c) head movement, d) rotation and (e) proximity to the person. We present two related studies evaluating this set. First, for requirements gathering, we observed the behaviour of interruption between humans, with a human actor attempting to interrupt other humans while being constrained to use only a set of behavioural cues that could be mimicked by a simple nonverbal robot. Next, we programmed a robot to exhibit similar social physical nonverbal cues, and tested their feasibility in a user study of robotic nonverbal interruption across interruption scenarios. Our results show that people were able to interpret interruption urgency from robot behaviour using only minimal nonverbal behavioural cues. These findings contribute to informing future designs of social human-robot interfaces.

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Section: Exploring Minimal Nonverbal Interruption In Hrimentioning

confidence: 99%

Exploring minimal nonverbal interruption in HRI

2011

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“…A robot actor can also express intentions and emotions through the color and intensity of light (Bethel & Murphy, 2008;Hoffman, 2011). For example, a robot can be angry when the light around the eyes is red, or sad with dark blue eyes (Buhaiciuc, 2013;Cohen et al, 2014;Hoffman et al, 2008).…”

Section:  Sound and Light Patternsmentioning

confidence: 99%

Interactive Drama With Robots for Teaching Non-Technical Subjects

Sánchez

Correal

Guerrero

2017

Journal of Human-Robot Interaction

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Educational robotics has great potential as a learning tool at all levels, from kindergarten to the university. It provides rich opportunities for collaborative knowledge building and skills acquisition through the manipulation of and interaction with robots. Despite the remarkable progress in this field, the scope and impact of robot-based activities have primarily focused on the teaching of technical school subjects (i.e., computer science, mathematics, and physics). This work proposes to support the learning and teaching of non-technical school subjects through drama-based activities with multiple robots. This approach provides a multisensory learning environment where students can learn through representations or simulations of ideas, events, stories, phenomena, or processes using multiple robot actors. Based on the drama process used by teachers, we propose steps to create and perform plays with robot actors in an educational context and discuss different alternatives for its implementation. Finally, we discuss the challenges of creating plays with multiple robots for educational purposes.

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“…The fact that an agent can be present in different embodiments may cause confusion for the user to identify the unique identity of their agent [10] in the different embodiments. While specific visual cues, such as a color, or a specific symbol for identifying the individual agent have been proposed [4][11] [13] [14], this may not be as straightforward with a physically embodied artefact like a robot, in particular if such a robot is what has been termed appearance-constrained [12]. Also, identity retention in terms of a personal agent (i.e.…”

Section: Introductionmentioning

confidence: 99%

Prototyping realistic long-term human-robot interaction for the study of agent migration

Koay

Syrdal

et al. 2016

2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)

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Abstract-This paper examines participants' experiences of interacting with a robotic companion (agent) that has the ability to move its "mind" between different robotic embodiments to take advantage of the features and functionalities associated with the different embodiments in a process called agent migration. In particular, we focus on identifying factors that can help the companion retain its identity in different embodiments. This includes examining the clarity of the migration behaviour and how this behaviour may contribute to identity retention. Nine participants took part in a long-term study, and interacted with the robotic companion in the smart house twice-weekly over a period of 5 weeks. We used Narrative-based Integrated Episodic Scenario (NIES) framework for designing long-term interaction scenarios that provided habituation and intervention phases while conveying the impression of continuous long-term interaction. The results show that NEIS allows us to explore complex intervention scenarios and obtain a sense of continuity of context across the long-term study. The results also suggest that as participants become habituated with the companion, they found the realisation of migration signaling clearer, and felt more certain of the identity of the companion in later sessions, and that the most important factor for this was the agent's continuation of tasks across embodiments. This paper is both empirical as well as methodological in nature.

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Survey of Non-facial/Non-verbal Affective Expressions for Appearance-Constrained Robots

Cited by 134 publications

References 23 publications

Exploring minimal nonverbal interruption in HRI

Exploring minimal nonverbal interruption in HRI

Interactive Drama With Robots for Teaching Non-Technical Subjects

Prototyping realistic long-term human-robot interaction for the study of agent migration

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