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Thill, S. (2019). What we need from an embodied cognitive architecture. In: Aldinhas Ferreira, Maria Isabel, Silva Sequeira, João, Ventura, Rodrigo (Ed.), Cognitive Architectures: . Springer
Open this publication in new window or tab >>What we need from an embodied cognitive architecture
2019 (English)In: Cognitive Architectures / [ed] Aldinhas Ferreira, Maria Isabel, Silva Sequeira, João, Ventura, Rodrigo, Springer, 2019Chapter in book (Refereed)
Abstract [en]

Given that original purpose of cognitive architectures was to lead to a unified theory of cognition, this chapter considers the possible contributions that cognitive architectures can make to embodied theories of cognition in particular. This is not a trivial question since the field remains very much divided about what embodied cognition actually means, and we will see some example positions in this chapter. It is then argued that a useful embodied cognitive architecture would be one that can demonstrate (a) what precisely the role of the body in cognition actually is, and (b) whether a body is constitutively needed at all for some (or all) cognitive processes. It is proposed that such questions can be investigated if the cognitive architecture is designed so that consequences of varying the precise embodiment on higher cognitive mechanisms can be explored. This is in contrast with, for example, those cognitive architectures in robotics that are designed for specific bodies first; or architectures in cognitive science that implement embodiment as an add-on to an existing framework (because then, that framework is by definition not constitutively shaped by the embodiment). The chapter concludes that the so-called semantic pointer architecture by Eliasmith and colleagues may be one framework that satisfies our desiderata and may be well-suited for studying theories of embodied cognition further.

Place, publisher, year, edition, pages
Springer, 2019
Series
Intelligent Systems, Control and Automation: Science and Engineering, ISSN 2213-8986
National Category
Computer Vision and Robotics (Autonomous Systems)
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-16167 (URN)10.1007/978-3-319-97550-4_4 (DOI)978-3-319-97549-8 (ISBN)978-3-319-97550-4 (ISBN)
Available from: 2018-09-07 Created: 2018-09-07 Last updated: 2018-09-10
Thill, S., Riveiro, M., Lagerstedt, E., Lebram, M., Hemeren, P., Habibovic, A. & Klingegård, M. (2018). Driver adherence to recommendations from support systems improves if the systems explain why they are given: A simulator study. Transportation Research Part F: Traffic Psychology and Behaviour, 56, 420-435
Open this publication in new window or tab >>Driver adherence to recommendations from support systems improves if the systems explain why they are given: A simulator study
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2018 (English)In: Transportation Research Part F: Traffic Psychology and Behaviour, ISSN 1369-8478, E-ISSN 1873-5517, Vol. 56, p. 420-435Article in journal (Refereed) Published
Abstract [en]

This paper presents a large-scale simulator study on driver adherence to recommendationsgiven by driver support systems, specifically eco-driving support and navigation support.123 participants took part in this study, and drove a vehicle simulator through a pre-defined environment for a duration of approximately 10 min. Depending on the experi-mental condition, participants were either given no eco-driving recommendations, or asystem whose provided support was either basic (recommendations were given in theform of an icon displayed in a manner that simulates a heads-up display) or informative(the system additionally displayed a line of text justifying its recommendations). A naviga-tion system that likewise provided either basic or informative support, depending on thecondition, was also provided.

Effects are measured in terms of estimated simulated fuel savings as well as engine brak-ing/coasting behaviour and gear change efficiency. Results indicate improvements in allvariables. In particular, participants who had the support of an eco-driving system spenta significantly higher proportion of the time coasting. Participants also changed gears atlower engine RPM when using an eco-driving support system, and significantly more sowhen the system provided justifications. Overall, the results support the notion that pro-viding reasons why a support system puts forward a certain recommendation improvesadherence to it over mere presentation of the recommendation.

Finally, results indicate that participants’ driving style was less eco-friendly if the navi-gation system provided justifications but the eco-system did not. This may be due to par-ticipants considering the two systems as one whole rather than separate entities withindividual merits. This has implications for how to design and evaluate a given driver sup-port system since its effectiveness may depend on the performance of other systems in thevehicle.

Keywords
Driver behaviour, System awareness, Eco-friendly behaviour, Driver recommendation systems
National Category
Psychology Human Computer Interaction Information Systems
Research subject
Interaction Lab (ILAB); Skövde Artificial Intelligence Lab (SAIL)
Identifiers
urn:nbn:se:his:diva-15279 (URN)10.1016/j.trf.2018.05.009 (DOI)000437997700037 ()2-s2.0-85048505654 (Scopus ID)
Projects
TIEB
Funder
Swedish Energy Agency
Available from: 2018-06-04 Created: 2018-06-04 Last updated: 2018-09-11Bibliographically approved
Lagerstedt, E. & Thill, S. (2018). Perception of Agent Properties in Humans and Machines. In: : . Paper presented at 41st European Conference on Visual Perception ECVP 2018, 26–30 August 2018, Trieste, Italy.
Open this publication in new window or tab >>Perception of Agent Properties in Humans and Machines
2018 (English)Conference paper, Poster (with or without abstract) (Refereed)
National Category
Psychology (excluding Applied Psychology)
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-16131 (URN)
Conference
41st European Conference on Visual Perception ECVP 2018, 26–30 August 2018, Trieste, Italy
Projects
Dreams4Cars
Funder
EU, Horizon 2020, 731593
Available from: 2018-09-03 Created: 2018-09-03 Last updated: 2018-09-04Bibliographically approved
Windridge, D. & Thill, S. (2018). Representational fluidity in embodied (artificial) cognition. Biosystems (Amsterdam. Print), 172, 9-17
Open this publication in new window or tab >>Representational fluidity in embodied (artificial) cognition
2018 (English)In: Biosystems (Amsterdam. Print), ISSN 0303-2647, E-ISSN 1872-8324, Vol. 172, p. 9-17Article in journal (Refereed) Published
National Category
Computer Sciences
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-16038 (URN)10.1016/j.biosystems.2018.07.007 (DOI)30092339 (PubMedID)2-s2.0-85051533418 (Scopus ID)
Available from: 2018-08-08 Created: 2018-08-08 Last updated: 2018-09-10Bibliographically approved
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
Keywords
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
Da Lio, M., Mazzalai, A., Windridge, D., Thill, S., Svensson, H., Yueksel, M., . . . Heich, H.-J. (2017). Exploiting Dream-Like Simulation Mechanisms to Develop Safer Agents for Automated Driving The "Dreams4Cars" EU Research and Innovation Action. In: 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC): . Paper presented at 20th IEEE International Conference on Intelligent Transportation Systems (ITSC), Yokohama, Japan, October 16-19, 2017. IEEE
Open this publication in new window or tab >>Exploiting Dream-Like Simulation Mechanisms to Develop Safer Agents for Automated Driving The "Dreams4Cars" EU Research and Innovation Action
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2017 (English)In: 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), IEEE, 2017Conference paper, Published paper (Refereed)
Abstract [en]

Automated driving needs unprecedented levels of reliably and safety before marked deployment. The average human driver fatal accident rate is 1 every 100 million miles. Automated vehicles will have to provably best these figures. This paper introduces the notion of dream-like mechanisms as a simulation technology to produce a large number of hypothetical design and test scenarios - especially focusing on variations of more frequent dangerous and near miss events. Grounded in the simulation hypothesis of cognition, we show here some principles for effective simulation mechanisms and an artificial cognitive system architecture that can learn from the simulated situations.

Place, publisher, year, edition, pages
IEEE, 2017
Series
IEEE International Conference on Intelligent Transportation Systems, ISSN 2153-0009, E-ISSN 2153-0017
Keywords
Automated driving, Co-Driver Agent, Artificial Cognitive Systems, Learning by simulations, Simulation Hypothesis of Cognition
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-15584 (URN)10.1109/ITSC.2017.8317649 (DOI)000432373000064 ()2-s2.0-85046269567 (Scopus ID)978-1-5386-1526-3 (ISBN)978-1-5386-1527-0 (ISBN)
Conference
20th IEEE International Conference on Intelligent Transportation Systems (ITSC), Yokohama, Japan, October 16-19, 2017
Available from: 2018-06-14 Created: 2018-06-14 Last updated: 2018-09-03
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
Keywords
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)2-s2.0-85031508273 (Scopus ID)
Funder
EU, FP7, Seventh Framework Programme, 611391
Available from: 2017-05-16 Created: 2017-05-16 Last updated: 2018-08-31Bibliographically 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
Keywords
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
Keywords
Object interaction, Affordances, Stable, Variable, Cognitive psychology, Parieto-frontal pathways, Ventro-dorsal, Dorso-dorsal, Neuroscience
National Category
Other Natural Sciences
Research subject
Interaction Lab (ILAB)
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: 2018-08-03Bibliographically 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
Research subject
Interaction Lab (ILAB)
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: 2018-08-03Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-1177-4119

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