his.sePublications
Change search
Link to record
Permanent link

Direct link
BETA
Publications (10 of 54) Show all publications
Thill, S. & Riveiro, M. (2019). Memento hominibus: on the fundamental role of end users in real-world interactions with neuromorphic systems. In: : . Paper presented at Workshop on Robust Articial Intelligence for Neurorobotics (RAI-NR) 2019, University of Edinburgh, Edinburgh, United Kingdom.
Open this publication in new window or tab >>Memento hominibus: on the fundamental role of end users in real-world interactions with neuromorphic systems
2019 (English)Conference paper, Published paper (Refereed)
National Category
Computer and Information Sciences
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-17786 (URN)
Conference
Workshop on Robust Articial Intelligence for Neurorobotics (RAI-NR) 2019, University of Edinburgh, Edinburgh, United Kingdom
Available from: 2019-10-11 Created: 2019-10-11 Last updated: 2019-10-11
Cao, H.-L., Esteban, P. G., Bartlett, M., Baxter, P. E., Belpaeme, T., Billing, E., . . . Ziemke, T. (2019). Robot-Enhanced Therapy: Development and Validation of a Supervised Autonomous Robotic System for Autism Spectrum Disorders Therapy. IEEE robotics & automation magazine, 26(2), 49-58
Open this publication in new window or tab >>Robot-Enhanced Therapy: Development and Validation of a Supervised Autonomous Robotic System for Autism Spectrum Disorders Therapy
Show others...
2019 (English)In: IEEE robotics & automation magazine, ISSN 1070-9932, E-ISSN 1558-223X, Vol. 26, no 2, p. 49-58Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2019
National Category
Human Computer Interaction
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-16864 (URN)10.1109/MRA.2019.2904121 (DOI)000471680800008 ()2-s2.0-85064382580 (Scopus ID)
Projects
DREAM, FP7 grant #611391.
Available from: 2019-05-06 Created: 2019-05-06 Last updated: 2019-11-18Bibliographically approved
Bartlett, M., Edmunds, C. E. .., Belpaeme, T., Thill, S. & Lemaignan, S. (2019). What Can You See?: Identifying Cues on Internal States From the Movements of Natural Social Interactions. Frontiers in Robotics and AI, 6(49)
Open this publication in new window or tab >>What Can You See?: Identifying Cues on Internal States From the Movements of Natural Social Interactions
Show others...
2019 (English)In: Frontiers in Robotics and AI, E-ISSN 2296-9144, Vol. 6, no 49Article in journal (Refereed) Published
Abstract [en]

In recent years, the field of Human-Robot Interaction (HRI) has seen an increasingdemand for technologies that can recognize and adapt to human behaviors and internalstates (e.g., emotions and intentions). Psychological research suggests that humanmovements are important for inferring internal states. There is, however, a need to betterunderstand what kind of information can be extracted from movement data, particularlyin unconstrained, natural interactions. The present study examines which internal statesand social constructs humans identify from movement in naturalistic social interactions.Participants either viewed clips of the full scene or processed versions of it displaying2D positional data. Then, they were asked to fill out questionnaires assessing their socialperception of the viewed material. We analyzed whether the full scene clips were moreinformative than the 2D positional data clips. First, we calculated the inter-rater agreementbetween participants in both conditions. Then, we employed machine learning classifiersto predict the internal states of the individuals in the videos based on the ratingsobtained. Although we found a higher inter-rater agreement for full scenes comparedto positional data, the level of agreement in the latter case was still above chance,thus demonstrating that the internal states and social constructs under study wereidentifiable in both conditions. A factor analysis run on participants’ responses showedthat participants identified the constructs interaction imbalance, interaction valence andengagement regardless of video condition. The machine learning classifiers achieveda similar performance in both conditions, again supporting the idea that movementalone carries relevant information. Overall, our results suggest it is reasonable to expecta machine learning algorithm, and consequently a robot, to successfully decode andclassify a range of internal states and social constructs using low-dimensional data (suchas the movements and poses of observed individuals) as input.

Place, publisher, year, edition, pages
Frontiers Research Foundation, 2019
Keywords
social psychology, human-robot interaction, machine learning, social interaction, recognition
National Category
Human Computer Interaction
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-17301 (URN)10.3389/frobt.2019.00049 (DOI)000473169300001 ()2-s2.0-85068522657 (Scopus ID)
Available from: 2019-06-26 Created: 2019-06-26 Last updated: 2019-12-02Bibliographically approved
Thill, S. (2019). What we need from an embodied cognitive architecture. In: Maria Isabel Aldinhas Ferreira, João Silva Sequeira, Rodrigo Ventura (Ed.), Cognitive Architectures: (pp. 43-57). Cham: Springer
Open this publication in new window or tab >>What we need from an embodied cognitive architecture
2019 (English)In: Cognitive Architectures / [ed] Maria Isabel Aldinhas Ferreira, João Silva Sequeira, Rodrigo Ventura, Cham: Springer, 2019, p. 43-57Chapter 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
Cham: Springer, 2019
Series
Intelligent Systems, Control and Automation: Science and Engineering, ISSN 2213-8986, E-ISSN 2213-8994 ; 94
National Category
Computer Vision and Robotics (Autonomous Systems)
Research subject
Interaction Lab (ILAB); INF302 Autonomous Intelligent Systems
Identifiers
urn:nbn:se:his:diva-16167 (URN)10.1007/978-3-319-97550-4_4 (DOI)000465469800005 ()2-s2.0-85051464325 (Scopus ID)978-3-319-97549-8 (ISBN)978-3-319-97550-4 (ISBN)
Available from: 2018-09-07 Created: 2018-09-07 Last updated: 2019-06-11Bibliographically approved
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
Show others...
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); INF301 Data Science; INF302 Autonomous Intelligent Systems
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: 2019-11-19Bibliographically 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 (pp. 124-124). , 48
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)
Series
PERCEPTION, ISSN 0301-0066, E-ISSN 1468-4233
National Category
Psychology (excluding Applied Psychology)
Research subject
Interaction Lab (ILAB); INF302 Autonomous Intelligent Systems
Identifiers
urn:nbn:se:his:diva-16131 (URN)000468288300466 ()
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: 2019-06-07Bibliographically 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
Abstract [en]

Theories of embodied cognition agree that the body plays some role in human cognition, but disagree on the precise nature of this role. While it is (together with the environment) fundamentally engrained in the so-called 4E (or multi-E) cognition stance, there also exists interpretations wherein the body is merely an input/output interface for cognitive processes that are entirely computational.

In the present paper, we show that even if one takes such a strong computationalist position, the role of the body must be more than an interface to the world. To achieve human cognition, the computational mechanisms of a cognitive agent must be capable not only of appropriate reasoning over a given set of symbolic representations; they must in addition be capable of updating the representational framework itself (leading to the titular representational fluidity). We demonstrate this by considering the necessary properties that an artificial agent with these abilities need to possess.

The core of the argument is that these updates must be falsifiable in the Popperian sense while simultaneously directing representational shifts in a direction that benefits the agent. We show that this is achieved by the progressive, bottom-up symbolic abstraction of low-level sensorimotor connections followed by top-down instantiation of testable perception-action hypotheses.

We then discuss the fundamental limits of this representational updating capacity, concluding that only fully embodied learners exhibiting such a priori perception-action linkages are able to sufficiently ground spontaneously-generated symbolic representations and exhibit the full range of human cognitive capabilities. The present paper therefore has consequences both for the theoretical understanding of human cognition, and for the design of autonomous artificial agents.

Place, publisher, year, edition, pages
Elsevier, 2018
Keywords
Embodied cognition, Representational frameworks, Computationalism, Representational updating
National Category
Computer Sciences
Research subject
Interaction Lab (ILAB); INF302 Autonomous Intelligent Systems
Identifiers
urn:nbn:se:his:diva-16038 (URN)10.1016/j.biosystems.2018.07.007 (DOI)000448100100002 ()30092339 (PubMedID)2-s2.0-85051533418 (Scopus ID)
Available from: 2018-08-08 Created: 2018-08-08 Last updated: 2019-11-20Bibliographically 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); INF302 Autonomous Intelligent Systems
Identifiers
urn:nbn:se:his:diva-14269 (URN)10.1145/3125739.3125768 (DOI)463009800032 ()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: 2019-09-09Bibliographically 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
Show others...
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
National Category
Civil Engineering Electrical Engineering, Electronic Engineering, Information Engineering Mechanical Engineering Other Engineering and Technologies
Research subject
Interaction Lab (ILAB); INF302 Autonomous Intelligent Systems
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: 2018-11-16Bibliographically 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
Show others...
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); INF302 Autonomous Intelligent Systems
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: 2018-11-16Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-1177-4119

Search in DiVA

Show all publications