Alle Publikationen
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2016
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(2016): Interaction of robot with humans by communicating simulated emotional states through expressive movements. In: Intelligent Service Robotics 9 (3), S. 231-255. DOI: 10.1007/s11370-016-0199-0
DOI: http://search.ebscohost.com/login.aspx?direct=true&db=psyh&AN=2016-30661-005&site=ehost-live Abstract: This paper presents a non-verbal and non-facial method for effective communication of a 'mechanoid robot' by conveying the emotions through gestures. This research focuses on human–robot interaction using a mechanoid robot that does not possess any anthropomorphic facial features for conveying gestures. Another feature of this research is the use of human-like smooth motion of this mechanoid robot in contrast to the traditional trapezoidal velocity profile for its communication. For conveying gestures, the connection between motion of robot and perceived emotions is established by varying the velocity and acceleration of the mechanoid structure. The selected motion parameters are changed systematically to observe the variation in perceived emotions. The perceived emotions have been further investigated using three different emotional behavior models: Russell’s circumplex model of affect, Tellegen–Watson–Clark model and PAD model. Results obtained show that the designated motion parameters are linked with the change of emotions. Moreover, the emotions perceived by the user are same through all three models, validating the reliability of all the three emotional scale models and also of the emotions perceived by the user. (PsycINFO Database Record (c) 2019 APA, all rights reserved)
Keywords: emotional & Robotik, Social robotic -
(2016): Emotional affordances for human–robot interaction. In: Adaptive Behavior 24 (5), S. 320-334. DOI: 10.1177/1059712316668238
DOI: http://search.ebscohost.com/login.aspx?direct=true&db=psyh&AN=2016-53698-005&site=ehost-live Abstract: This paper provides a new concept for the improvement of human–robot interaction (HRI) models: ‘emotional affordances’. Emotional affordances are all the mechanisms that have emotional content as a way to transmit and/or collect emotional meaning about any context; it can include bodily expressions, social norms, values-laden objects or extended space, among others. With this rich concept, we open the way to new ways to understand the multimodal and complex nature of emotional mechanisms. Based on the grounded emotional mechanisms of human cognition and behaviour (that is, based and result of the bodily structure and its coupled relationship with the natural and/or social environment), the purpose of this paper is focused on the definition of a framework for the design of a taxonomy of emotional affordances, useful for a modal and improved understanding of the domains of emotional interactions that can emerge between humans and robots. This process will make possible in next research steps to define processing modules as well as to elicit visual display outputs (expressing emotions). Consequently, with this project we provide robotic experts with a unified taxonomy of human emotional affordances, useful for the improvement of HRI projects. (PsycINFO Database Record (c) 2019 APA, all rights reserved)
Keywords: emotional & Robotik, Social robotic 2013
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(2013): Toward understanding social cues and signals in human-robot interaction: Effects of robot gaze and proxemic behavior. In: Frontiers in Psychology 4. DOI: 10.3389/fpsyg.2013.00859
DOI: https://doi.org/10.3389/fpsyg.2013.00859 Abstract: As robots are increasingly deployed in settings requiring social interaction, research is needed to examine the social signals perceived by humans when robots display certain social cues. In this paper, we report a study designed to examine how humans interpret social cues exhibited by robots. We first provide a brief overview of perspectives from social cognition in humans and how these processes are applicable to human–robot interaction (HRI). We then discuss the need to examine the relationship between social cues and signals as a function of the degree to which a robot is perceived as a socially present agent. We describe an experiment in which social cues were manipulated on an iRobot AvaTM mobile robotics platform in a hallway navigation scenario. Cues associated with the robot’s proxemic behavior were found to significantly affect participant perceptions of the robot’s social presence and emotional state while cues associated with the robot’s gaze behavior were not found to be significant. Further, regardless of the proxemic behavior, participants attributed more social presence and emotional states to the robot over repeated interactions than when they first interacted with it. Generally, these results indicate the importance for HRI research to consider how social cues expressed by a robot can differentially affect perceptions of the robot’s mental states and intentions. The discussion focuses on implications for the design of robotic systems and future directions for research on the relationship between social cues and signals. (PsycINFO Database Record (c) 2019 APA, all rights reserved)
Keywords: emotional & Robotik, Social robotic -
(2013): Increasing helpfulness towards a robot by emotional adaption to the user. In: International Journal of Social Robotics 5 (4), S. 457-476. DOI: 10.1007/s12369-013-0182-2
DOI: https://doi.org/10.1007/s12369-013-0182-2 Abstract: This article describes an emotional adaption approach to proactively trigger increased helpfulness towards a robot in task-related human-robot interaction (HRI). Based on social-psychological predictions of human behavior, the approach aims at inducing empathy, paired with a feeling of similarity in human users towards the robot. This is achieved by two differently expressed emotional control variables: by an explicit statement of similarity before task-related interaction, and implicitly expressed by adapting the emotional state of the robot to the mood of the human user, such that the current values of the human mood in the dimensions of pleasure, arousal, and dominance (PAD) are matched. The thereby shifted emotional state of the robot serves as a basis for the generation of task-driven emotional facial- and verbal expressions, employed to induce and sustain high empathy towards the robot throughout the interaction. The approach is evaluated in a user study utilizing an expressive robot head. The effectiveness of the approach is confirmed by significant experimental results. An analysis of the individual components of the approach reveals significant effects of explicit emotional adaption on helpfulness, as well as on the HRI-key concepts anthropomorphism and animacy. (PsycINFO Database Record (c) 2019 APA, all rights reserved)
Keywords: emotional & Robotik, Social robotic 2010
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(2010): Affective social robots. In: Robotics and Autonomous Systems 58 (3), S. 322-332. DOI: 10.1016/j.robot.2009.09.015
DOI: http://search.ebscohost.com/login.aspx?direct=true&db=psyh&AN=2010-02610-012&site=ehost-live Abstract: For human–robot interaction to proceed in a smooth, natural manner, robots must adhere to human social norms. One such human convention is the use of expressive moods and emotions as an integral part of social interaction. Such expressions are used to convey messages such as 'I’m happy to see you' or 'I want to be comforted,' and people’s long-term relationships depend heavily on shared emotional experiences. Thus, we have developed an affective model for social robots. This generative model attempts to create natural, human-like affect and includes distinctions between immediate emotional responses, the overall mood of the robot, and long-term attitudes toward each visitor to the robot, with a focus on developing long-term human–robot relationships. This paper presents the general affect model as well as particular details of our implementation of the model on one robot, the Roboceptionist. In addition, we present findings from two studies that demonstrate the model’s potential. (PsycINFO Database Record (c) 2019 APA, all rights reserved)
Keywords: emotional & Robotik, Social robotic 2009
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(2009): Affective robot for elderly assistance. In: Annual Review of CyberTherapy and Telemedicine 7, S. 44-49. Online verfügbar unter http://search.ebscohost.com/login.aspx?direct=true&db=psyh&AN=2009-17266-011&site=ehost-live
Abstract: Recently, several robotic solutions for the elderly have been proposed. However, to date, the diffusion of these devices has been limited: available robots are too cumbersome, awkward, and expensive to become widely adopted. Another key issue which reduces the appeal of assistive robots is the lack of socioemotional interaction: affective interchanges represent key requirements to create sustainable relationships between elderly and robots. In this paper, we propose a new approach to enhance the acceptability of robotic systems, based on the introduction of affective dimensions in human-robot interaction. This strategy is aimed at designing a new generation of relational and cognitive robots fusing information from embodied unobtrusive sensory interfaces. The final objective is to develop embodied interfaces, which are able to learn and adapt their affective responses to the user's behavior. User and robot will engage in natural interactions, involving verbal and non-verbal communication, improving empathic exchange of moods and feelings. Relevant independent living and quality of life related issues will be addressed: on-going monitoring of health parameters, assistance in everyday's activities, social support and cognitive/physical exercises. We expect that the proposed strategy will enhance the user's acceptance and adoption of the assistive robotic system. (PsycINFO Database Record (c) 2019 APA, all rights reserved)
Keywords: emotional & Robotik, Social robotic 2003
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(2003): Emotion and sociable humanoid robots. In: International Journal of Human-Computer Studies 59 (1-2), S. 119-155. DOI: 10.1016/S1071-5819(03)00018-1
DOI: http://search.ebscohost.com/login.aspx?direct=true&db=psyh&AN=2003-06408-008&site=ehost-live Abstract: This paper focuses on the role of emotion and expressive behavior in regulating social interaction between humans and expressive anthropomorphic robots, either in communicative or teaching scenarios. We present the scientific basis underlying our humanoid robot's emotion models and expressive behavior, and then show how these scientific viewpoints have been adapted to the current implementation. Our robot is also able to recognize affective intent through tone of voice, the implementation of which is inspired by the scientific findings of the developmental psycholinguistics community. We first evaluate the robot's expressive displays in isolation. Next, we evaluate the robot's overall emotive behavior (i.e. the coordination of the affective recognition system, the emotion and motivation systems, and the expression system) as it socially engages nave human subjects face-to-face. (PsycINFO Database Record (c) 2017 APA, all rights reserved)
Keywords: emotional & Robotik, Social robotic
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