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Kolbeinsson, A., Lagerstedt, E. & Lindblom, J. (2019). Foundation for a classification of collaboration levels for human-robot cooperation in manufacturing. Production & Manufacturing Research, 7(1), 448-471
Open this publication in new window or tab >>Foundation for a classification of collaboration levels for human-robot cooperation in manufacturing
2019 (English)In: Production & Manufacturing Research, ISSN 2169-3277, Vol. 7, no 1, p. 448-471Article in journal (Refereed) Published
Abstract [en]

Industry 4.0 aims to support the factory of the future, involving increased use of information systems and new ways of using automation, such as collaboration where a robot and a human share work on a single task. We propose a classification of collaboration levels for Human-Robot collaboration (HRC) in manufacturing that we call levels of collaboration (LoC), formed to provide a conceptual model conducive to the design of assembly lines incorporating HRC. This paper aims to provide a more theoretical foundation for such a tool based on relevant theories from cognitive science and other perspectives of human-technology interaction, strengthening the validity and scientific rigour of the envisioned LoC tool. The main contributions consist of a theoretical grounding to motivate the transition from automation to collaboration, which are intended to facilitate expanding the LoC classification to support HRC, as well as an initial visualization of the LoC approach. Future work includes fully defining the LoC classification as well as operationalizing functionally different cooperation types. We conclude that collaboration is a means to an end, so collaboration is not entered for its own sake, and that collaboration differs fundamentally from more commonly used views where automation is the focus.

National Category
Interaction Technologies
Research subject
User Centred Product Design; Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-17502 (URN)10.1080/21693277.2019.1645628 (DOI)000477742200001 ()2-s2.0-85069762392 (Scopus ID)
Available from: 2019-08-08 Created: 2019-08-08 Last updated: 2019-11-08Bibliographically approved
Kolbeinsson, A., Lagerstedt, E. & Lindblom, J. (2018). Classification of Collaboration Levels for Human-Robot Cooperation in Manufacturing. In: Peter Thorvald & Keith Case (Ed.), Peter Thorvald, Keith Case (Ed.), Advances in Manufacturing Technology XXXII: Proceedings of the 16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018,  University of Skövde, Sweden. Paper presented at 16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden (pp. 151-156). Amsterdam: IOS Press
Open this publication in new window or tab >>Classification of Collaboration Levels for Human-Robot Cooperation in Manufacturing
2018 (English)In: Advances in Manufacturing Technology XXXII: Proceedings of the 16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018,  University of Skövde, Sweden / [ed] Peter Thorvald, Keith Case, Amsterdam: IOS Press, 2018, p. 151-156Conference paper, Published paper (Refereed)
Abstract [en]

Industry 4.0 aims to support the factory of the future, which involves increased amounts of information systems and new ways of using automation. One new usage is collaboration between human and industrial robot in manufacturing, with both partners sharing work on a single task. Supporting human-robot collaboration (HRC) requires understanding the requirements of HRC as well as the differences to existing approaches where the goal is more automation, such as in the case of self-driving cars. We propose a framework that we call levels of collaboration to support this, and posit that this framework supports a mental model conducive to the design of lines incorporating HRC.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2018
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 8
Keywords
Human-robot collaboration, Manufacturing, Industry 4.0
National Category
Robotics
Research subject
INF302 Autonomous Intelligent Systems; User Centred Product Design; Interaction Lab (ILAB); INF202 Virtual Ergonomics
Identifiers
urn:nbn:se:his:diva-16117 (URN)10.3233/978-1-61499-902-7-151 (DOI)000462212700025 ()2-s2.0-85057431589 (Scopus ID)978-1-61499-901-0 (ISBN)978-1-61499-902-7 (ISBN)
Conference
16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden
Projects
KK-stiftelsen AIR - SIDUS nr 20140220ManuWork (EU) nr 723711
Funder
EU, Horizon 2020, 723711Knowledge Foundation, 20140220
Note

Detta arbete är finansierat både av AIR(KK)  och ManuWork (EU).

Available from: 2018-08-31 Created: 2018-08-31 Last updated: 2019-04-05Bibliographically 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
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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); 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: 2019-02-14Bibliographically 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
Lagerstedt, E. & Svensson, H. (2017). A drive through the world of functional tones, simulations and cars. In: Anders Arweström Jansson, Anton Axelsson, Rebecca Andreasson, Erik Billing (Ed.), Proceedings of the 13th SweCog Conference: . Paper presented at 13th SweCog Conference, Uppsala, October 26-27, 2017 (pp. 12-14).
Open this publication in new window or tab >>A drive through the world of functional tones, simulations and cars
2017 (English)In: Proceedings of the 13th SweCog Conference / [ed] Anders Arweström Jansson, Anton Axelsson, Rebecca Andreasson, Erik Billing, 2017, p. 12-14Conference paper, Oral presentation with published abstract (Refereed)
Series
Skövde University Studies in Informatics, ISSN 1653-2325 ; 2017:2
National Category
Other Computer and Information Science
Research subject
Interaction Lab (ILAB); INF302 Autonomous Intelligent Systems
Identifiers
urn:nbn:se:his:diva-14270 (URN)978-91-983667-2-3 (ISBN)
Conference
13th SweCog Conference, Uppsala, October 26-27, 2017
Projects
European Union, Horizon 2020
Available from: 2017-10-30 Created: 2017-10-30 Last updated: 2018-11-16Bibliographically 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
Nyberg, L. K., Quaderi, S., Emilsson, G., Karami, N., Lagerstedt, E., Müller, V., . . . Westerlund, F. (2016). Rapid identification of intact bacterial resistance plasmids via optical mapping of single DNA molecules. Scientific Reports, 6, Article ID 30410.
Open this publication in new window or tab >>Rapid identification of intact bacterial resistance plasmids via optical mapping of single DNA molecules
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2016 (English)In: Scientific Reports, ISSN 2045-2322, E-ISSN 2045-2322, Vol. 6, article id 30410Article in journal (Refereed) Published
Abstract [en]

The rapid spread of antibiotic resistance - currently one of the greatest threats to human health according to WHO - is to a large extent enabled by plasmid-mediated horizontal transfer of resistance genes. Rapid identification and characterization of plasmids is thus important both for individual clinical outcomes and for epidemiological monitoring of antibiotic resistance. Toward this aim, we have developed an optical DNA mapping procedure where individual intact plasmids are elongated within nanofluidic channels and visualized through fluorescence microscopy, yielding barcodes that reflect the underlying sequence. The assay rapidly identifies plasmids through statistical comparisons with barcodes based on publicly available sequence repositories and also enables detection of structural variations. Since the assay yields holistic sequence information for individual intact plasmids, it is an ideal complement to next generation sequencing efforts which involve reassembly of sequence reads from fragmented DNA molecules. The assay should be applicable in microbiology labs around the world in applications ranging from fundamental plasmid biology to clinical epidemiology and diagnostics.

Place, publisher, year, edition, pages
Nature Publishing Group, 2016
National Category
Bioinformatics (Computational Biology) Biophysics
Identifiers
urn:nbn:se:his:diva-17700 (URN)10.1038/srep30410 (DOI)000380330100001 ()27460437 (PubMedID)2-s2.0-84979783998 (Scopus ID)
Available from: 2019-09-17 Created: 2019-09-17 Last updated: 2019-09-18Bibliographically approved
Frykholm, K., Nyberg, L. K., Lagerstedt, E., Noble, C., Fritzsche, J., Karami, N., . . . Westerlund, F. (2015). Fast size-determination of intact bacterial plasmids using nanofluidic channels. Lab on a Chip, 15(13), 2739-2743
Open this publication in new window or tab >>Fast size-determination of intact bacterial plasmids using nanofluidic channels
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2015 (English)In: Lab on a Chip, ISSN 1473-0197, E-ISSN 1473-0189, Vol. 15, no 13, p. 2739-2743Article in journal (Refereed) Published
Abstract [en]

We demonstrate how nanofluidic channels can be used as a tool to rapidly determine the number and sizes of plasmids in bacterial isolates. Each step can be automated at low cost, opening up opportunities for general use in microbiology labs.

National Category
Bioinformatics (Computational Biology) Biophysics
Identifiers
urn:nbn:se:his:diva-17698 (URN)10.1039/c5lc00378d (DOI)000356372400002 ()25997119 (PubMedID)2-s2.0-84934948114 (Scopus ID)
Available from: 2019-09-17 Created: 2019-09-17 Last updated: 2019-09-18Bibliographically approved
Lagerstedt, E., Riveiro, M. & Thill, S. (2015). Interacting with Artificial Agents. In: Sławomir Nowaczyk (Ed.), Thirteenth Scandinavian Conference on Artificial Intelligence: . Paper presented at 13th Scandinavian Conference on Artificial Intelligence, SCAI 2015, Halmstad, Sweden, 4 November 2015 through 5 November 2015 (pp. 184-185). IOS Press, 278
Open this publication in new window or tab >>Interacting with Artificial Agents
2015 (English)In: Thirteenth Scandinavian Conference on Artificial Intelligence / [ed] Sławomir Nowaczyk, IOS Press, 2015, Vol. 278, p. 184-185Conference paper, Oral presentation with published abstract (Refereed)
Place, publisher, year, edition, pages
IOS Press, 2015
Series
Frontiers in Artificial Intelligence and Applications, ISSN 1879-8314 ; 278
Keywords
Human-Machine Interaction, Trust, Cooperation, Locus of Control
National Category
Human Computer Interaction
Research subject
Technology; Interaction Lab (ILAB); Skövde Artificial Intelligence Lab (SAIL)
Identifiers
urn:nbn:se:his:diva-12717 (URN)10.3233/978-1-61499-589-0-184 (DOI)000455950400022 ()2-s2.0-84963706294 (Scopus ID)978-1-61499-589-0 (ISBN)978-1-61499-588-3 (ISBN)
Conference
13th Scandinavian Conference on Artificial Intelligence, SCAI 2015, Halmstad, Sweden, 4 November 2015 through 5 November 2015
Projects
TIEB
Available from: 2016-07-14 Created: 2016-07-14 Last updated: 2019-09-10Bibliographically approved
Bååth, R., Lagerstedt, E. & Gärdenfors, P. (2014). A prototype-based resonance model of rhythm categorization. i-Perception, 5(6), 548-558
Open this publication in new window or tab >>A prototype-based resonance model of rhythm categorization
2014 (English)In: i-Perception, ISSN 2041-6695, E-ISSN 2041-6695, Vol. 5, no 6, p. 548-558Article in journal (Refereed) Published
Abstract [en]

Categorization of rhythmic patterns is prevalent in musical practice, an example of this being the transcription of (possibly not strictly metrical) music into musical notation. In this article we implement a dynamical systems' model of rhythm categorization based on the resonance theory of rhythm perception developed by Large (2010). This model is used to simulate the categorical choices of participants in two experiments of Desain and Honing (2003). The model accurately replicates the experimental data. Our results support resonance theory as a viable model of rhythm perception and show that by viewing rhythm perception as a dynamical system it is possible to model central properties of rhythm categorization.

Keywords
categorical perception, computational modeling, dynamical systems, music perception, resonance theory, rhythm perception
National Category
Bioinformatics (Computational Biology) Other Computer and Information Science Music
Identifiers
urn:nbn:se:his:diva-17696 (URN)10.1068/i0665 (DOI)000345156800005 ()26034564 (PubMedID)2-s2.0-84919494993 (Scopus ID)
Available from: 2019-09-17 Created: 2019-09-17 Last updated: 2019-09-17Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-8937-8063

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