Emotionally Driven Robot Control Architecture for Human-Robot Interaction

Novikova, Jekaterina; Gaudl, Swen E.; Bryson, Joanna J.

doi:10.1007/978-3-662-43645-5_27

Cited by 3 publications

(2 citation statements)

References 7 publications

(9 reference statements)

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“…We designed two communication styles for the robot avatar in order to investigate abilities of social communication between the robot and the human subjects, motivated by our previous research [4] : (1) robot agent declares its internal state and intentions using text messages (2) robot agent declares its internal state and intentions using both emotional reactions and text messages. Emotional robot reactions were modeled according to the scheme described in [2]. In our experimental study, we used two emotional reactions -surprise and happiness -to enrich a social communication between the robot and human subjects.…”

Section: Methodsmentioning

confidence: 99%

Modeling Human-Robot Collaboration in a Simulated Environment

Novikova

Watts

Inamura

2015

Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts

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In this paper, we describe a project that explores an opensourced enhanced robot simulator SIGVerse towards researching a social human-robot interaction. Research on high level social human-robot interaction systems that includes collaboration and emotional intercommunication between people and robots requires a big amount of data based on embodied interaction experiments. However, the cost of developing real robots and performing many experiments can be very high. On another hand, virtual robot simulators are very limited in terms of interaction between simulated robots and real people. Thus we propose using an enhanced humanrobot interaction simulator SIGVerse that enables users to join the virtual world occupied by simulated robots through immersive user interface. In this paper,we describe a collaborative human-robot interaction task where a virtual human agent is controlled remotely by human subjects to interact with an automatic virtual robot with implemented artificial emotional reactions. Our project sets the first steps to explore the potential of using an enhanced human-robot interaction simulator to build socially interactive robots that can serve in educational, team building, and collaborative task solving applications.

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Section: Methodsmentioning

confidence: 99%

Modeling Human-Robot Collaboration in a Simulated Environment

Novikova

Watts

Inamura

2015

Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts

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“…Our current work approaches this problem by modelling artificial emotions as internal states that factor into a dynamic action selection process. This process couples the synthetic-emotional state with external cues for communicating discrete emotional states to a human before and during the execution of those actions [17]. Artificial emotions can be connected with the goals of the robot and thus can also be triggered by a list of conditions [2]: e.g.…”

Section: Implications For Research On Affective Interactive Robotsmentioning

confidence: 99%

The role of emotions in inter-action selection

Novikova

Watts

Bryson

2014

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Faragó et al (hereafter FMS&G) draw attention to an important issue for researchers of human-robot interaction (HRI): can we conceive a scheme for making social robot behaviour both comprehensible and appropriate in human social settings? We agree with the authors concerning the potential utility of drawing on the example of domestic animals-particularly dogs, the species with which we have the longest history of co-evolution as social interactors. Here we seek to extend from the authors emphasis on the detail of species-specific interaction to a general blueprint for robot action selection. We particularly emphasise the integral role of emotions in facilitating social interaction selection as social signals of internal agent states that are relevant to joint action. Our research questions concern the general abilities of artificial agents, particularly robots, to express their current, transient internal states in ways that people find comprehensible and acceptable. This requires that researchers consider not only the potential communicative value of a social signal but also the validity or utility of the internal state which it describes. Were it the case that the role of the human was to correctly identify a signal, as a passive observer of the robot, it would be a simple matter to construct a repertoire of discriminable social actions. However, this leads us to an important issue in HRI research not emphasised by FMS&G : the nature of interaction itself as a concept that requires simultaneous consideration of the actors and the acted-upon. Dynamic selection decisions for emotional signalling must depend on considerations that span human and robot: a question of emotional interaction selection.

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