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Publications (10 of 46) Show all publications
Lagerstedt, E., Riveiro, M. & Thill, S. (2017). Agent Autonomy and Locus of Responsibility for Team Situation Awareness. In: HAI '17: Proceedings of the 5th International Conference on Human Agent Interaction. Paper presented at 5th International Conference on Human Agent Interaction, Bielefeld, October 17-20, 2017 (pp. 261-269). New York: Association for Computing Machinery (ACM)
Open this publication in new window or tab >>Agent Autonomy and Locus of Responsibility for Team Situation Awareness
2017 (English)In: HAI '17: Proceedings of the 5th International Conference on Human Agent Interaction, New York: Association for Computing Machinery (ACM), 2017, p. 261-269Conference paper, Published paper (Refereed)
Abstract [en]

Rapid technical advancements have led to dramatically improved abilities for artificial agents, and thus opened up for new ways of cooperation between humans and them, from disembodied agents such as Siris to virtual avatars, robot companions, and autonomous vehicles. It is therefore relevant to study not only how to maintain appropriate cooperation, but also where the responsibility for this resides and/or may be affected. While there are previous organisations and categorisations of agents and HAI research into taxonomies, situations with highly responsible artificial agents are rarely covered. Here, we propose a way to categorise agents in terms of such responsibility and agent autonomy, which covers the range of cooperation from humans getting help from agents to humans providing help for the agents. In the resulting diagram presented in this paper, it is possible to relate different kinds of agents with other taxonomies and typical properties. A particular advantage of this taxonomy is that it highlights under what conditions certain effects known to modulate the relationship between agents (such as the protégé effect or the "we"-feeling) arise.

Place, publisher, year, edition, pages
New York: Association for Computing Machinery (ACM), 2017
Keyword
HAI, Locus of Responsibility, Agent Relationship, Classification of Artificial Agents
National Category
Interaction Technologies
Research subject
Interaction Lab (ILAB); Skövde Artificial Intelligence Lab (SAIL)
Identifiers
urn:nbn:se:his:diva-14269 (URN)10.1145/3125739.3125768 (DOI)2-s2.0-85034847392 (Scopus ID)978-1-4503-5113-3 (ISBN)
Conference
5th International Conference on Human Agent Interaction, Bielefeld, October 17-20, 2017
Projects
Dreams4Cars
Funder
EU, Horizon 2020, 731593
Available from: 2017-10-30 Created: 2017-10-30 Last updated: 2018-02-01Bibliographically approved
Esteban, P. G., Baxter, P., Belpaeme, T., Billing, E., Cai, H., Cao, H.-L., . . . Ziemke, T. (2017). How to Build a Supervised Autonomous System for Robot-Enhanced Therapy for Children with Autism Spectrum Disorder. Paladyn - Journal of Behavioral Robotics, 8(1), 18-38
Open this publication in new window or tab >>How to Build a Supervised Autonomous System for Robot-Enhanced Therapy for Children with Autism Spectrum Disorder
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2017 (English)In: Paladyn - Journal of Behavioral Robotics, ISSN 2080-9778, E-ISSN 2081-4836, Vol. 8, no 1, p. 18-38Article in journal (Refereed) Published
Abstract [en]

Robot-Assisted Therapy (RAT) has successfully been used to improve social skills in children with autism spectrum disorders (ASD) through remote control of the robot in so-called Wizard of Oz (WoZ) paradigms.However, there is a need to increase the autonomy of the robot both to lighten the burden on human therapists (who have to remain in control and, importantly, supervise the robot) and to provide a consistent therapeutic experience. This paper seeks to provide insight into increasing the autonomy level of social robots in therapy to move beyond WoZ. With the final aim of improved human-human social interaction for the children, this multidisciplinary research seeks to facilitate the use of social robots as tools in clinical situations by addressing the challenge of increasing robot autonomy.We introduce the clinical framework in which the developments are tested, alongside initial data obtained from patients in a first phase of the project using a WoZ set-up mimicking the targeted supervised-autonomy behaviour. We further describe the implemented system architecture capable of providing the robot with supervised autonomy.

Place, publisher, year, edition, pages
De Gruyter Open, 2017
Keyword
Robot-Enhanced Therapy, Autism Spectrum Disorders, Supervised Autonomy, Multi-sensory Data, Cognitive Controller
National Category
Computer and Information Sciences
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-13559 (URN)10.1515/pjbr-2017-0002 (DOI)
Funder
EU, FP7, Seventh Framework Programme, 611391
Available from: 2017-05-16 Created: 2017-05-16 Last updated: 2018-01-13Bibliographically approved
Moore, R., Thill, S. & Marxer, R. (2017). Vocal Interactivity in-and-between Humans, Animals and Robots (VIHAR): (Dagstuhl Seminar 16442). Dagstuhl Reports, 6(10), 154-194
Open this publication in new window or tab >>Vocal Interactivity in-and-between Humans, Animals and Robots (VIHAR): (Dagstuhl Seminar 16442)
2017 (English)In: Dagstuhl Reports, E-ISSN 2192-5283, Vol. 6, no 10, p. 154-194Article in journal (Refereed) Published
Keyword
animal calls, human-robot interaction, language evolution, language universals, speech technology, spoken language, vocal expression, vocal interaction, vocal learning
National Category
Human Computer Interaction
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-13429 (URN)10.4230/DagRep.6.10.154 (DOI)000389272100001 ()
Available from: 2017-03-13 Created: 2017-03-13 Last updated: 2018-01-13Bibliographically approved
Sakreida, K., Effnert, I., Thill, S., Menz, M. M., Jirak, D., Eickhoff, C. R., . . . Binkofski, F. (2016). Affordance processing in segregated parieto-frontal dorsal stream sub-pathways. Neuroscience and Biobehavioral Reviews, 69, 89-112
Open this publication in new window or tab >>Affordance processing in segregated parieto-frontal dorsal stream sub-pathways
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2016 (English)In: Neuroscience and Biobehavioral Reviews, ISSN 0149-7634, E-ISSN 1873-7528, Vol. 69, p. 89-112Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Elsevier, 2016
Keyword
Object interaction, Affordances, Stable, Variable, Cognitive psychology, Parieto-frontal pathways, Ventro-dorsal, Dorso-dorsal, Neuroscience
National Category
Other Natural Sciences
Identifiers
urn:nbn:se:his:diva-12731 (URN)10.1016/j.neubiorev.2016.07.032 (DOI)000385323500007 ()27484872 (PubMedID)2-s2.0-84982728809 (Scopus ID)
Available from: 2016-07-31 Created: 2016-07-31 Last updated: 2017-11-28Bibliographically approved
Svensson, H. & Thill, S. (2016). Beyond bodily anticipation: Internal simulations in social interaction. Cognitive Systems Research, 40, 161-171
Open this publication in new window or tab >>Beyond bodily anticipation: Internal simulations in social interaction
2016 (English)In: Cognitive Systems Research, ISSN 2214-4366, E-ISSN 1389-0417, Vol. 40, p. 161-171Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Elsevier, 2016
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:his:diva-12593 (URN)10.1016/j.cogsys.2016.06.003 (DOI)000382248800014 ()2-s2.0-84982090975 (Scopus ID)
Available from: 2016-06-26 Created: 2016-06-26 Last updated: 2018-01-10Bibliographically approved
Thill, S. & Vernon, D. (2016). How to Design Emergent Models of Cognition for Application-Driven Artificial Agents. In: Katherine Twomey, Gert Westermann, Padraic Monaghan and Alastair Smith (Ed.), Katherine Twomey, Gert Westermann, Padraic Monaghan & Alastair Smith (Ed.), Neurocomputational Models of Cognitive Development and Processing: Proceedings of the 14th Neural Computation and Psychology Workshop. Paper presented at 14th Neural Computation and Psychology Workshop, Lancaster University, UK, 21 – 23 August 2014 (pp. 115-129). Singapore: World Scientific
Open this publication in new window or tab >>How to Design Emergent Models of Cognition for Application-Driven Artificial Agents
2016 (English)In: Neurocomputational Models of Cognitive Development and Processing: Proceedings of the 14th Neural Computation and Psychology Workshop / [ed] Katherine Twomey, Gert Westermann, Padraic Monaghan & Alastair Smith, Singapore: World Scientific, 2016, p. 115-129Conference paper, Published paper (Refereed)
Abstract [en]

Emergent models of cognition are attractive for artificial cognitive agents because they overcome the brittleness of systems that are fully specified in axiomatic terms at design time, increasing, for example, the ability to deal with uncertainty and unforeseen events. When the agent is created to fulfil specific requirements defined by a given application, there is an apparent conflict between the emergent (i.e. self-defining) nature of the agent's behaviour and the pre-specified (i.e. axiomatically-defined) nature of the requirements.

Here, we develop a framework for the design of emergent models of cognition whose behaviour can be shaped to fulfil application requirements while retaining the desired characteristics of emergence. We achieve this by viewing the artificial agent as forming an eco-system with the environment in which it is deployed. Consequently, the objective function that determines the agent's behaviour is cast in terms that factor in interaction with the environment (while not being controlled by it) and therefore implicitly includes the application requirements.

This framework is particularly relevant to application driven research where artificial agents are designed to interact with humans in a certain manner. We illustrate this with the example of robot-enhanced therapy for children with autism spectrum disorder

Place, publisher, year, edition, pages
Singapore: World Scientific, 2016
Series
Progress in Neural Processing ; 22
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:his:diva-12987 (URN)10.1142/9789814699341_0008 (DOI)978-981-4699-35-8 (ISBN)978-981-4699-33-4 (ISBN)
Conference
14th Neural Computation and Psychology Workshop, Lancaster University, UK, 21 – 23 August 2014
Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-01-10Bibliographically approved
Vernon, D., Thill, S. & Ziemke, T. (2016). The Role of Intention in Cognitive Robotics. In: Anna Esposito & Lakhmi C. Jain (Ed.), Toward Robotic Socially Believable Behaving Systems: Volume I (pp. 15-27). Switzerland: Springer
Open this publication in new window or tab >>The Role of Intention in Cognitive Robotics
2016 (English)In: Toward Robotic Socially Believable Behaving Systems: Volume I / [ed] Anna Esposito & Lakhmi C. Jain, Switzerland: Springer, 2016, p. 15-27Chapter in book (Refereed)
Abstract [en]

We argue that the development of robots that can interact effectively with people requires a special focus on building systems that can perceive and comprehend intentions in other agents. Such a capability is a prerequisite for all pro-social behaviour and in particular underpins the ability to engage in instrumental helping and mutual collaboration. We explore the prospective and intentional nature of action, highlighting the importance of joint action, shared goals, shared intentions, and joint attention in facilitating social interaction between two or more cognitive agents. We discuss the link between reading intentions and theory of mind, noting the role played by internal simulation, especially when inferring higher-level actionfocussed intentions. Finally, we highlight that pro-social behaviour in humans is the result of a developmental process and we note the implications of this for the challenge of creating cognitive robots that can read intentions.

Place, publisher, year, edition, pages
Switzerland: Springer, 2016
Series
Intelligent Systems Reference Library, ISSN 1868-4394 ; 105
Keyword
Robotics, Human-robot interaction, emotion, intention
National Category
Robotics
Research subject
Technology
Identifiers
urn:nbn:se:his:diva-11945 (URN)10.1007/978-3-319-31056-5_3 (DOI)000377156400004 ()2-s2.0-84961627492 (Scopus ID)978-3-319-31055-8 (ISBN)
Projects
DREAM: Development of Robot-enhanced Therapy for Children with Autism Spectrum Disorders
Funder
EU, FP7, Seventh Framework Programme, 611391
Available from: 2016-02-23 Created: 2016-02-23 Last updated: 2017-11-27Bibliographically approved
Moore, R. K., Marxer, R. & Thill, S. (2016). Vocal interactivity in-and-between humans, animals and robots. , 3, Article ID 61.
Open this publication in new window or tab >>Vocal interactivity in-and-between humans, animals and robots
2016 (English)In: Vol. 3, article id 61Article, review/survey (Refereed) Published
Abstract [en]

Almost all animals exploit vocal signals for a range of ecologically-motivated purposes: detecting predators/prey and marking territory, expressing emotions, establishing social relations and sharing information. Whether it is a bird raising an alarm, a whale calling to potential partners, a dog responding to human commands, a parent reading a story with a child, or a business-person accessing stock prices using \emph{Siri}, vocalisation provides a valuable communication channel through which behaviour may be coordinated and controlled, and information may be distributed and acquired. Indeed, the ubiquity of vocal interaction has led to research across an extremely diverse array of fields, from assessing animal welfare, to understanding the precursors of human language, to developing voice-based human-machine interaction. Opportunities for cross-fertilisation between these fields abound; for example, using artificial cognitive agents to investigate contemporary theories of language grounding, using machine learning to analyse different habitats or adding vocal expressivity to the next generation of language-enabled autonomous social agents. However, much of the research is conducted within well-defined disciplinary boundaries, and many fundamental issues remain. This paper attempts to redress the balance by presenting a comparative review of vocal interaction within-and-between humans, animals and artificial agents (such as robots), and it identifies a rich set of open research questions that may benefit from an inter-disciplinary analysis.

National Category
Human Computer Interaction
Identifiers
urn:nbn:se:his:diva-12984 (URN)10.3389/frobt.2016.00061 (DOI)000389272100001 ()
Available from: 2016-09-28 Created: 2016-09-28 Last updated: 2018-01-10Bibliographically approved
Thill, S. & Twomey, K. E. (2016). What's on the inside counts: A grounded account of concept acquisition and development. Frontiers in Psychology, 7, 1-11, Article ID 402.
Open this publication in new window or tab >>What's on the inside counts: A grounded account of concept acquisition and development
2016 (English)In: Frontiers in Psychology, ISSN 1664-1078, E-ISSN 1664-1078, Vol. 7, p. 1-11, article id 402Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Frontiers Media S.A., 2016
National Category
Psychology (excluding Applied Psychology)
Identifiers
urn:nbn:se:his:diva-12018 (URN)10.3389/fpsyg.2016.00402 (DOI)000372567800001 ()27047427 (PubMedID)2-s2.0-84963704925 (Scopus ID)
Available from: 2016-03-07 Created: 2016-03-07 Last updated: 2017-11-30Bibliographically approved
Nilsson, M., Thill, S. & Ziemke, T. (2015). Action and intention recognition in human interaction with autonomous vehicles. In: : . Paper presented at "Experiencing Autonomous Vehicles: Crossing the Boundaries between a Drive and a Ride" workshop in conjunction with CHI2015.
Open this publication in new window or tab >>Action and intention recognition in human interaction with autonomous vehicles
2015 (English)Conference paper, Oral presentation only (Refereed)
Keyword
action recognition, intention recognition, embodied cognition, social interaction
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:his:diva-10867 (URN)
Conference
"Experiencing Autonomous Vehicles: Crossing the Boundaries between a Drive and a Ride" workshop in conjunction with CHI2015
Available from: 2015-04-27 Created: 2015-04-27 Last updated: 2018-01-11Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-1177-4119

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