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Sökning: WFRF:(Lowe Robert) > Högskolan i Skövde

  • Resultat 1-10 av 65
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1.
  • Alenljung, Beatrice, 1971-, et al. (författare)
  • Conveying Emotions by Touch to the Nao Robot : A User Experience Perspective
  • 2018
  • Ingår i: Multimodal Technologies and Interaction. - : MDPI. - 2414-4088. ; 2:4
  • Tidskriftsartikel (refereegranskat)abstract
    • Social robots are expected gradually to be used by more and more people in a widerrange of settings, domestic as well as professional. As a consequence, the features and qualityrequirements on human–robot interaction will increase, comprising possibilities to communicateemotions, establishing a positive user experience, e.g., using touch. In this paper, the focus is ondepicting how humans, as the users of robots, experience tactile emotional communication with theNao Robot, as well as identifying aspects affecting the experience and touch behavior. A qualitativeinvestigation was conducted as part of a larger experiment. The major findings consist of 15 differentaspects that vary along one or more dimensions and how those influence the four dimensions ofuser experience that are present in the study, as well as the different parts of touch behavior ofconveying emotions.
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2.
  • Alenljung, Beatrice, et al. (författare)
  • User Experience of Conveying Emotions by Touch
  • 2017
  • Ingår i: Proceedings of the 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). - : IEEE. - 9781538635179 - 9781538635193 - 9781538635186 ; , s. 1240-1247
  • Konferensbidrag (refereegranskat)abstract
    • In the present study, 64 users were asked to convey eight distinct emotion to a humanoid Nao robot via touch, and were then asked to evaluate their experiences of performing that task. Large differences between emotions were revealed. Users perceived conveying of positive/pro-social emotions as significantly easier than negative emotions, with love and disgust as the two extremes. When asked whether they would act differently towards a human, compared to the robot, the users’ replies varied. A content analysis of interviews revealed a generally positive user experience (UX) while interacting with the robot, but users also found the task challenging in several ways. Three major themes with impact on the UX emerged; responsiveness, robustness, and trickiness. The results are discussed in relation to a study of human-human affective tactile interaction, with implications for human-robot interaction (HRI) and design of social and affective robotics in particular. 
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3.
  • Andreasson, Rebecca, et al. (författare)
  • Affective Touch in Human-Robot Interaction: Conveying Emotion to the Nao Robot
  • 2018
  • Ingår i: International Journal of Social Robotics. - : Springer Science and Business Media LLC. - 1875-4791 .- 1875-4805. ; 10:4, s. 473-491
  • Tidskriftsartikel (refereegranskat)abstract
    • Affective touch has a fundamental role in human development, social bonding, and for providing emotional support in interpersonal relationships. We present, what is to our knowledge, the first HRI study of tactile conveyance of both positive and negative emotions (affective touch) on the Nao robot, and based on an experimental set-up from a study of human-human tactile communication. In the present work, participants conveyed eight emotions to a small humanoid robot via touch. We found that female participants conveyed emotions for a longer time, using more varied interaction and touching more regions on the robot's body, compared to male participants. Several differences between emotions were found such that emotions could be classified by the valence of the emotion conveyed, by combining touch amount and duration. Overall, these results show high agreement with those reported for human-human affective tactile communication and could also have impact on the design and placement of tactile sensors on humanoid robots.
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4.
  • Billing, Erik, 1981-, et al. (författare)
  • Finding Your Way from the Bed to the Kitchen: Reenacting and Recombining Sensorimotor Episodes Learned from Human Demonstration
  • 2016
  • Ingår i: Frontiers in Robotics and Ai. - Lausanne, Switzerland : Frontiers Media SA. - 2296-9144. ; 3
  • Tidskriftsartikel (refereegranskat)abstract
    • Several simulation theories have been proposed as an explanation for how humans and other agents internalize an "inner world" that allows them to simulate interactions with the external real world - prospectively and retrospectively. Such internal simulation of interaction with the environment has been argued to be a key mechanism behind mentalizing and planning. In the present work, we study internal simulations in a robot acting in a simulated human environment. A model of sensory-motor interactions with the environment is generated from human demonstrations and tested on a Robosoft Kompai robot. The model is used as a controller for the robot, reproducing the demonstrated behavior. Information from several different demonstrations is mixed, allowing the robot to produce novel paths through the environment, toward a goal specified by top-down contextual information. The robot model is also used in a covert mode, where the execution of actions is inhibited and perceptions are generated by a forward model. As a result, the robot generates an internal simulation of the sensory-motor interactions with the environment. Similar to the overt mode, the model is able to reproduce the demonstrated behavior as internal simulations. When experiences from several demonstrations are combined with a top-down goal signal, the system produces internal simulations of novel paths through the environment. These results can be understood as the robot imagining an "inner world" generated from previous experience, allowing it to try out different possible futures without executing actions overtly. We found that the success rate in terms of reaching the specified goal was higher during internal simulation, compared to overt action. These results are linked to a reduction in prediction errors generated during covert action. Despite the fact that the model is quite successful in terms of generating covert behavior toward specified goals, internal simulations display different temporal distributions compared to their overt counterparts. Links to human cognition and specifically mental imagery are discussed.
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5.
  • Billing, Erik, 1981-, et al. (författare)
  • Simultaneous planning and action: neural-dynamic sequencing of elementary behaviors in robot navigation
  • 2015
  • Ingår i: Adaptive Behavior. - : SAGE Publications. - 1059-7123 .- 1741-2633. ; 23:5, s. 243-264
  • Tidskriftsartikel (refereegranskat)abstract
    • A technique for simultaneous planning and action based on dynamic field theory is presented. The model builds on previous work on representation of sequential behavior as attractors in dynamic neural fields. Here, we demonstrate how chains of competing attractors can be used to represent dynamic plans towards a goal state. The present work can be seen as an addition to a growing body of work that demonstrates the role of dynamic field theory as a bridge between low-level reactive approaches and high-level symbol processing mechanisms. The architecture is evaluated on a set of planning problems using a simulated e-puck robot, including analysis of the system's behavior in response to noise and temporary blockages of the planned route. The system makes no explicit distinction between planning and execution phases, allowing continuous adaptation of the planned path. The proposed architecture exploits the dynamic field theory property of stability in relation to noise and changes in the environment. The neural dynamics are also exploited such that stay-or-switch action selection emerges where blockage of a planned path occurs; stay until the transient blockage is removed versus switch to an alternative route to the goal.
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6.
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7.
  • Durán, Boris, et al. (författare)
  • Learning a DFT-based sequence with reinforcement learning : A NAO implementation
  • 2012
  • Ingår i: Paladyn - Journal of Behavioral Robotics. - : Springer. - 2080-9778 .- 2081-4836. ; 3:4, s. 181-187
  • Tidskriftsartikel (refereegranskat)abstract
    • The implementation of sequence learning in robotic platforms offers several challenges. Deciding when to stop one action and continue to the next requires a balance between stability of sensory information and, of course, the knowledge about what action is required next. The work presented here proposes a starting point for the successful execution and learning of dynamic sequences. Making use of the NAO humanoid platform we propose a mathematical model based on dynamic field theory and reinforcement learning methods for obtaining and performing a sequence of elementary motor behaviors. Results from the comparison of two reinforcement learning methods applied to sequence generation, for both simulation and implementation, are provided.
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8.
  • Kiryazov, Kiril, et al. (författare)
  • From the virtual to the robotic : Bringing emoting and appraising agents into reality
  • 2011
  • Ingår i: Proceedings of the 2nd European Future Technologies Conference and Exhibition 2011 (FET 11). - : Elsevier. ; , s. 241-243
  • Konferensbidrag (refereegranskat)abstract
    • - A classical appraisal model of emotions extended with artificial metabolic mechanisms is presented. The new architecture is based on two existing models: WASABI and a model of Microbial Fuel Cell technology. WASABI is a top-down cognitive model which is implemented in several virtual world applications such as a museum guide. Microbial fuel cells provide energy for the robot through digesting food. The presented work is a first step towards imbuing a physical robot with emotions of human-like complexity. Classically, such integration has only been attempted in the virtual domain. The research aim is to study the embodied appraisal theory and to show the role of the body in the emotion mechanisms. Some initial tests of the architecture with humanoid NAO robot in a minimalistic scenario are presented. © Selection and peer-review under responsibility of FET11 conference organizers and published by Elsevier B.V.
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9.
  • Kiryazov, Kiril, et al. (författare)
  • The role of arousal in embodying the cueXdeficit model in multi-resource human robot interaction
  • 2013
  • Ingår i: Advances in Artificial Life, ECAL 2013, Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living System. - : MIT Press. ; , s. 19-26, s. 19-26
  • Konferensbidrag (refereegranskat)abstract
    • In this paper is investigated the problem of managing limited resources in human-robot interaction with a computational architecture of emotion. The architecture is based on the appraisal theory of affect and an ethological motivational model of task selection. Key variables and performance criteria for robotic energy autonomous behaviour in interaction with humans are discussed. The role of arousal for modulating effort of movement is explored. It is shown that the architecture can manage task selection and the effort of the movement and offers sustainable basic-cycles in exemplar "two-resource problem" test-bed scenarios for an iCub robot. An extension of the architecture with a third "resource"—safety—is presented and how the architecture is able to solve the new "three-resource" problem is demonstrated.
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10.
  • Kiryazov, Kiril, et al. (författare)
  • The role of arousal in two-resource problem tasks for humanoid service robots
  • 2013
  • Ingår i: IEEE RO-MAN 2013. - : IEEE. - 9781479905096 ; , s. 62-69
  • Konferensbidrag (refereegranskat)abstract
    • A computational architecture of emotion is presented which grounds a component of an appraisal cognitive model into the homeostatic processes of a humanoid robot. The focus of the present work entails a `grounding' of the arousal component of the Pleasure Arousal Dominance emotion space into the electrical energy processes of an iCub robot. Key variables and performance criteria for robotic energy autonomous behavior in interaction with human are discussed. We show that our bio-inspired affective architecture offers viable basic cycles in exemplar “two-resource problem” testbed scenarios for a real iCub robot. The expression of the robot's emotional state and its role for the efficient interaction in the proposed two-resource problem task is discussed and experimental designs are presented.
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