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Ziemke, Tom, professorORCID iD iconorcid.org/0000-0001-6883-2450
Publications (10 of 170) Show all publications
Johansson, R., Karlsson, A., Andler, S. F., Brohede, M., van Laere, J., Klingegård (Nilsson), M. & Ziemke, T. (2022). On the Definition and Scope of Information Fusion as a Field of Research. ISIF Perspectives on Information Fusion, 5(1), 3-12
Open this publication in new window or tab >>On the Definition and Scope of Information Fusion as a Field of Research
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2022 (English)In: ISIF Perspectives on Information Fusion, ISSN 2831-4824, Vol. 5, no 1, p. 3-12Article in journal (Refereed) Published
Abstract [en]

A definition of information fusion (IF) as a field of research can benefit researchers within the field, who may use such a definition when motivating their own work and evaluating the contributions of others. Moreover, it can enable researchers and practitioners outside the field to more easily relate their own work to the field and more easily understand the scope of IF techniques and methods. Based on strengths and weaknesses of existing definitions, a definition is proposed that is argued to effectively fulfill the requirements that can be put on a definition of IF as a field of research. Although the proposed definition aims to be precise, it does not fully capture the richness and versatility of the IF field. To address that limitation, we highlight some topics to explore the scope of IF, covering the systems perspective of IF and its relation to ma-chine learning, optimization, robot behavior, opinion aggregation, and databases.

Place, publisher, year, edition, pages
International Society of Information Fusion (ISIF), 2022
National Category
Computer Sciences Robotics Information Systems
Research subject
Skövde Artificial Intelligence Lab (SAIL); Distributed Real-Time Systems; Information Systems
Identifiers
urn:nbn:se:his:diva-21740 (URN)
Note

Abstracting is permitted with credit to the source. For all other copying, reprint, or republication permissions, contact the Administrative Editor. Copyright© 2022 ISIF, Inc.

Available from: 2022-08-30 Created: 2022-08-30 Last updated: 2023-09-25Bibliographically approved
Billing, E., Belpaeme, T., Cai, H., Cao, H.-L., Ciocan, A., Costescu, C., . . . Ziemke, T. (2020). The DREAM Dataset: Supporting a data-driven study of autism spectrum disorder and robot enhanced therapy. PLOS ONE, 15(8), Article ID e0236939.
Open this publication in new window or tab >>The DREAM Dataset: Supporting a data-driven study of autism spectrum disorder and robot enhanced therapy
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2020 (English)In: PLOS ONE, E-ISSN 1932-6203, Vol. 15, no 8, article id e0236939Article in journal (Refereed) Published
Abstract [en]

We present a dataset of behavioral data recorded from 61 children diagnosed with Autism Spectrum Disorder (ASD). The data was collected during a large-scale evaluation of Robot Enhanced Therapy (RET). The dataset covers over 3000 therapy sessions and more than 300 hours of therapy. Half of the children interacted with the social robot NAO supervised by a therapist. The other half, constituting a control group, interacted directly with a therapist. Both groups followed the Applied Behavior Analysis (ABA) protocol. Each session was recorded with three RGB cameras and two RGBD (Kinect) cameras, providing detailed information of children’s behavior during therapy. This public release of the dataset comprises body motion, head position and orientation, and eye gaze variables, all specified as 3D data in a joint frame of reference. In addition, metadata including participant age, gender, and autism diagnosis (ADOS) variables are included. We release this data with the hope of supporting further data-driven studies towards improved therapy methods as well as a better understanding of ASD in general.

Place, publisher, year, edition, pages
Public Library of Science, 2020
National Category
Human Computer Interaction
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-18958 (URN)10.1371/journal.pone.0236939 (DOI)000564080300032 ()32823270 (PubMedID)2-s2.0-85089811349 (Scopus ID)
Projects
DREAM - Development of robot-enhanced therapy for children with autism spectrum disorders.
Funder
EU, FP7, Seventh Framework Programme, 611391
Note

CC BY 4.0

Available from: 2020-08-27 Created: 2020-08-27 Last updated: 2023-03-03Bibliographically approved
Rapp, A., Tirassa, M. & Ziemke, T. (2019). Cognitive aspects of interactive technology use: From computers to smart objects and autonomous agents. Frontiers in Psychology, 10(May), Article ID 1078.
Open this publication in new window or tab >>Cognitive aspects of interactive technology use: From computers to smart objects and autonomous agents
2019 (English)In: Frontiers in Psychology, E-ISSN 1664-1078, Vol. 10, no May, article id 1078Article in journal, Editorial material (Refereed) Published
Place, publisher, year, edition, pages
Frontiers Media S.A., 2019
Keywords
Affordances, Artificial intelligence, Human-computer interaction, Virtual reality, Wearable technologies
National Category
Interaction Technologies Human Aspects of ICT Media and Communication Technology Human Computer Interaction Information Systems, Social aspects
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-17469 (URN)10.3389/fpsyg.2019.01078 (DOI)000467850900001 ()2-s2.0-85068420006 (Scopus ID)
Note

Editorial

Available from: 2019-07-22 Created: 2019-07-22 Last updated: 2022-02-10Bibliographically approved
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
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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
Cai, H., Fang, Y., Ju, Z., Costescu, C., David, D., Billing, E., . . . Liu, H. (2019). Sensing-enhanced Therapy System for Assessing Children with Autism Spectrum Disorders: A Feasibility Study. IEEE Sensors Journal, 19(4), 1508-1518
Open this publication in new window or tab >>Sensing-enhanced Therapy System for Assessing Children with Autism Spectrum Disorders: A Feasibility Study
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2019 (English)In: IEEE Sensors Journal, ISSN 1530-437X, E-ISSN 1558-1748, Vol. 19, no 4, p. 1508-1518Article in journal (Refereed) Published
Abstract [en]

It is evident that recently reported robot-assisted therapy systems for assessment of children with autism spectrum disorder (ASD) lack autonomous interaction abilities and require significant human resources. This paper proposes a sensing system that automatically extracts and fuses sensory features such as body motion features, facial expressions, and gaze features, further assessing the children behaviours by mapping them to therapist-specified behavioural classes. Experimental results show that the developed system has a capability of interpreting characteristic data of children with ASD, thus has the potential to increase the autonomy of robots under the supervision of a therapist and enhance the quality of the digital description of children with ASD. The research outcomes pave the way to a feasible machine-assisted system for their behaviour assessment. IEEE

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2019
Keywords
autism spectrum disorders, autonomy, cameras, instruction sets, medical treatment, robot sensing systems, sensing-enhanced, synchronization, therapy, diseases, instruction set, robot sensing system, human robot interaction
National Category
Computer Vision and Robotics (Autonomous Systems)
Research subject
Interaction Lab (ILAB); INF302 Autonomous Intelligent Systems
Identifiers
urn:nbn:se:his:diva-16417 (URN)10.1109/JSEN.2018.2877662 (DOI)000457327900036 ()2-s2.0-85055705313 (Scopus ID)
Available from: 2018-11-20 Created: 2018-11-20 Last updated: 2019-11-18Bibliographically approved
Ziemke, T., Arvola, M., Dahlbäck, N. & Billing, E. (Eds.). (2018). Proceedings of the 14th SweCog Conference. Paper presented at Swecog 2018, the 14th Swecog conference, Linköping, Sweden, October 11-12, 2018. Skövde: University of Skövde
Open this publication in new window or tab >>Proceedings of the 14th SweCog Conference
2018 (English)Conference proceedings (editor) (Refereed)
Place, publisher, year, edition, pages
Skövde: University of Skövde, 2018. p. 30
Series
Skövde University Studies in Informatics, ISSN 1653-2325 ; 2018:1
National Category
Human Computer Interaction Psychology (excluding Applied Psychology)
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-16309 (URN)978-91-983667-3-0 (ISBN)
Conference
Swecog 2018, the 14th Swecog conference, Linköping, Sweden, October 11-12, 2018
Available from: 2018-10-17 Created: 2018-10-17 Last updated: 2018-12-20Bibliographically approved
Richardson, K., Coeckelbergh, M., Wakunuma, K., Billing, E., Ziemke, T., Gómez, P., . . . Belpaeme, T. (2018). Robot Enhanced Therapy for Children with Autism (DREAM): A Social Model of Autism. IEEE technology & society magazine, 37(1), 30-39
Open this publication in new window or tab >>Robot Enhanced Therapy for Children with Autism (DREAM): A Social Model of Autism
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2018 (English)In: IEEE technology & society magazine, ISSN 0278-0097, E-ISSN 1937-416X, Vol. 37, no 1, p. 30-39Article in journal (Refereed) Published
Abstract [en]

The development of social robots for children with autism has been a growth field for the past 15 years. This article reviews studies in robots and autism as a neurodevelopmental disorder that impacts socialcommunication development, and the ways social robots could help children with autism develop social skills. Drawing on ethics research from the EU-funded Development of Robot-Enhanced Therapy for Children with Autism (DREAM) project (framework 7), this paper explores how ethics evolves and developed in this European project.

Place, publisher, year, edition, pages
IEEE, 2018
Keywords
Autism, Ethics, Medical treatment, Pediatrics, Robots, Variable speed drives
National Category
Robotics
Research subject
Interaction Lab (ILAB); INF302 Autonomous Intelligent Systems
Identifiers
urn:nbn:se:his:diva-14957 (URN)10.1109/MTS.2018.2795096 (DOI)000427133300007 ()2-s2.0-85043506763 (Scopus ID)
Projects
Development of robot-enhanced therapy for children with autism spectrum disorders (DREAM), FP7 grant #611391
Funder
EU, FP7, Seventh Framework Programme, 611391
Available from: 2018-03-13 Created: 2018-03-13 Last updated: 2021-01-07Bibliographically approved
Billing, E. & Ziemke, T. (2018). Robot-Enhanced Therapy for Children with Autism. In: Tom Ziemke, Mattias Arvola, Nils Dahlbäck, Erik Billing (Ed.), Proceedings of the 14th SweCog Conference: . Paper presented at Swecog 2018, the 14th Swecog conference, Linköping, Sweden, October 11-12, 2018 (pp. 19-22). Skövde: University of Skövde
Open this publication in new window or tab >>Robot-Enhanced Therapy for Children with Autism
2018 (English)In: Proceedings of the 14th SweCog Conference / [ed] Tom Ziemke, Mattias Arvola, Nils Dahlbäck, Erik Billing, Skövde: University of Skövde , 2018, p. 19-22Conference paper, Oral presentation with published abstract (Refereed)
Place, publisher, year, edition, pages
Skövde: University of Skövde, 2018
Series
SUSI, ISSN 1653-2325 ; 2018:1
National Category
Human Computer Interaction
Research subject
Interaction Lab (ILAB); INF302 Autonomous Intelligent Systems
Identifiers
urn:nbn:se:his:diva-16323 (URN)978-91-983667-3-0 (ISBN)
Conference
Swecog 2018, the 14th Swecog conference, Linköping, Sweden, October 11-12, 2018
Projects
DREAM, FP7 grant #611391
Funder
EU, FP7, Seventh Framework Programme, 611391
Available from: 2018-10-19 Created: 2018-10-19 Last updated: 2019-08-23Bibliographically approved
Einarsson, A. & Ziemke, T. (2017). Exploring the Multi-Layered Affordances of Composing and Performing Interactive Music with Responsive Technologies. Frontiers in Psychology, 8, Article ID 1701.
Open this publication in new window or tab >>Exploring the Multi-Layered Affordances of Composing and Performing Interactive Music with Responsive Technologies
2017 (English)In: Frontiers in Psychology, E-ISSN 1664-1078, Vol. 8, article id 1701Article in journal (Refereed) Published
Abstract [en]

The question motivating the work presented here, starting from a view of music as embodied and situated activity, is how can we account for the complexity of interactive music performance situations. These are situations in which human performers interact with responsive technologies, such as sensor-driven technology or sound synthesis affected by analysis of the performed sound signal. This requires investigating in detail the underlying mechanisms, but also providing a more holistic approach that does not lose track of the complex whole constituted by the interactions and relationships of composers, performers, audience, technologies, etc. The concept of affordances has frequently been invoked in musical research, which has seen a "bodily turn" in recent years, similar to the development of the embodied cognition approach in the cognitive sciences. We therefore begin by broadly delineating its usage in the cognitive sciences in general, and in music research in particular. We argue that what is still missing in the discourse on musical affordances is an encompassing theoretical framework incorporating the sociocultural dimensions that are fundamental to the situatedness and embodiment of interactive music performance and composition. We further argue that the cultural affordances framework, proposed by Rietveld and Kiverstein (2014) and recently articulated further by Ramstead et al. (2016) in this journal, although not previously applied to music, constitutes a promising starting point. It captures and elucidates this complex web of relationships in terms of shared landscapes and individual fields of affordances. We illustrate this with examples foremost from the first author's artistic work as composer and performer of interactive music. This sheds new light on musical composition as a process of construction-and embodied mental simulation-of situations, guiding the performers' and audience's attention in shifting fields of affordances. More generally, we believe that the theoretical perspectives and concrete examples discussed in this paper help to elucidate how situations-and with them affordances-are dynamically constructed through the interactions of various mechanisms as people engage in embodied and situated activity.

Place, publisher, year, edition, pages
Frontiers Media S.A., 2017
Keywords
affordances, cultural affordances, embodied activity, embodied cognition, composition, interactive music, responsive technology, situated activity
National Category
Psychology (excluding Applied Psychology) Other Humanities
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-14261 (URN)10.3389/fpsyg.2017.01701 (DOI)000411930700001 ()29033880 (PubMedID)2-s2.0-85030183889 (Scopus ID)
Note

CC BY 4.

Available from: 2017-10-26 Created: 2017-10-26 Last updated: 2022-02-10Bibliographically approved
Thellman, S., Silvervarg, A. & Ziemke, T. (2017). Folk-Psychological Interpretation of Human vs. Humanoid Robot Behavior: Exploring the Intentional Stance toward Robots. Frontiers in Psychology, 8, Article ID 1962.
Open this publication in new window or tab >>Folk-Psychological Interpretation of Human vs. Humanoid Robot Behavior: Exploring the Intentional Stance toward Robots
2017 (English)In: Frontiers in Psychology, E-ISSN 1664-1078, Vol. 8, article id 1962Article in journal (Refereed) Published
Abstract [en]

People rely on shared folk-psychological theories when judging behavior. These theories guide people's social interactions and therefore need to be taken into consideration in the design of robots and other autonomous systems expected to interact socially with people. It is, however, not yet clear to what degree the mechanisms that underlie people's judgments of robot behavior overlap or differ from the case of human or animal behavior. To explore this issue, participants (N = 90) were exposed to images and verbal descriptions of eight different behaviors exhibited either by a person or a humanoid robot. Participants were asked to rate the intentionality, controllability and desirability of the behaviors, and to judge the plausibility of seven different types of explanations derived from a recently proposed psychological model of lay causal explanation of human behavior. Results indicate: substantially similar judgments of human and robot behavior, both in terms of (1a) ascriptions of intentionality/controllability/desirability and in terms of (1b) plausibility judgments of behavior explanations; (2a) high level of agreement in judgments of robot behavior -(2b) slightly lower but still largely similar to agreement over human behaviors; (3) systematic differences in judgments concerning the plausibility of goals and dispositions as explanations of human vs. humanoid behavior. Taken together, these results suggest that people's intentional stance toward the robot was in this case very similar to their stance toward the human.

Place, publisher, year, edition, pages
Frontiers Media S.A., 2017
Keywords
human-robot interaction, folk psychology, social interaction, intentional stance, attribution theory, intentionality ascription, behavior explanation, social robots
National Category
Computer and Information Sciences Interaction Technologies Robotics
Research subject
Interaction Lab (ILAB); INF302 Autonomous Intelligent Systems
Identifiers
urn:nbn:se:his:diva-14545 (URN)10.3389/fpsyg.2017.01962 (DOI)000415036700001 ()29184519 (PubMedID)2-s2.0-85033792430 (Scopus ID)
Note

CC BY 4.0

Available from: 2017-12-04 Created: 2017-12-04 Last updated: 2022-02-10Bibliographically approved
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Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-6883-2450

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