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Hanson, L., Högberg, D., Brolin, A., Brolin, E., Lebram, M., Iriondo Pascual, A., . . . Delfs, N. (2022). Design concept evaluation in digital human modeling tools. In: Proceedings of the 7th International Digital Human Modeling Symposium (DHM 2022), August 29–30, 2022, Iowa City, Iowa, USA: . Paper presented at 7th International Digital Human Modeling Symposium (DHM 2022), August 29–30, 2022, Iowa City, Iowa, USA. The conference was followed by the Iowa Virtual Human Summit 2022. (pp. 1-9). University of Iowa Press, 7, Article ID 4.
Open this publication in new window or tab >>Design concept evaluation in digital human modeling tools
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2022 (English)In: Proceedings of the 7th International Digital Human Modeling Symposium (DHM 2022), August 29–30, 2022, Iowa City, Iowa, USA, University of Iowa Press, 2022, Vol. 7, p. 1-9, article id 4Conference paper, Published paper (Refereed)
Abstract [en]

In the design process of products and production systems, the activity to systematically evaluate initial alternative design concepts is an important step. The digital human modeling (DHM) tools include several different types of assessment methods in order to evaluate product and production systems. Despite this, and due to the fact that a DHM tool in essence is a computer-supported design and analysis tool, none of the DHM tools provide the functionality to, in a systematic way, use the results generated in the DHM tool to compare design concepts between each other. The aim of this paper is to illustrate how a systematic concept evaluation method is integrated in a DHM tool, and to exemplify how it can be used to systematically assess design alternatives. Pugh´s method was integrated into the IPS software with LUA scripting to systematically compare design concepts. Four workstation layout concepts were generated by four engineers. The four concepts were systematically evaluated with two methods focusing on human well-being and two methods focusing on system performance and cost. The result is very promising. The demonstrator illustrates that it is possible to perform a systematic concept evaluation based on human well-being, overall system performance, and other parameters, where some of the data is automatically provided by the DHM tool and other data manually. The demonstrator can also be used to evaluate only one design concept, where it provides the software user and the decision maker with an objective and visible overview of the success of the design proposal from the perspective of several evaluation methods.

Place, publisher, year, edition, pages
University of Iowa Press, 2022
Keywords
IPS IMMA, ergonomics, simulation, design, evaluation
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design; Interaction Lab (ILAB); VF-KDO
Identifiers
urn:nbn:se:his:diva-21828 (URN)10.17077/dhm.31747 (DOI)978-0-9840378-4-1 (ISBN)
Conference
7th International Digital Human Modeling Symposium (DHM 2022), August 29–30, 2022, Iowa City, Iowa, USA. The conference was followed by the Iowa Virtual Human Summit 2022.
Note

Copyright © 2022 the author(s) 

Available from: 2022-09-20 Created: 2022-09-20 Last updated: 2023-08-16Bibliographically approved
Hanson, L., Högberg, D., Iriondo Pascual, A., Brolin, A., Brolin, E. & Lebram, M. (2022). Integrating Physical Load Exposure Calculations and Recommendations in Digitalized Ergonomics Assessment Processes. In: Amos H. C. Ng; Anna Syberfeldt; Dan Högberg; Magnus Holm (Ed.), SPS2022: Proceedings of the 10th Swedish Production Symposium. Paper presented at 10th Swedish Production Symposium (SPS2022), Skövde, April 26–29 2022 (pp. 233-239). Amsterdam; Berlin; Washington, DC: IOS Press
Open this publication in new window or tab >>Integrating Physical Load Exposure Calculations and Recommendations in Digitalized Ergonomics Assessment Processes
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2022 (English)In: SPS2022: Proceedings of the 10th Swedish Production Symposium / [ed] Amos H. C. Ng; Anna Syberfeldt; Dan Högberg; Magnus Holm, Amsterdam; Berlin; Washington, DC: IOS Press, 2022, p. 233-239Conference paper, Published paper (Refereed)
Abstract [en]

The type of ergonomics assessment methods typically used in digital human modelling (DHM) tools and automated assessment processes were rather developed to be used by ergonomists to assess ergonomics by observing the characteristics of the work. Direct measurement methods complement observation methods. Direct measurement methods have a design that suits being implemented into DHM tools. A drawback of direct measurement methods is that they traditionally do not include action levels. However, action levels in direct measurement methods have recently been suggested. The aim of this paper is to illustrate how these recent physical load exposure calculations and recommendations can be integrated in a DHM tool and in an automated assessment process. A demonstrator solution was developed that inputs exposure data from simulations in the DHM tool IPS IMMA as well as exposure data that originate from tracking real workers’ motions, using the motion capture system Xsens MVN. The demonstrator was applied in two use cases: one based on predicted human motions and one based on captured human motions. In the demonstrator, head posture, upper left and right arm posture and velocity, as well as left and right wrist velocity were calculated. Exposure data were compared with action levels, and extreme action levels were indicated by colouring the information. The results are promising, and the demonstrator illustrates that it is possible to follow the trends in Industry 4.0 and Industry 5.0 to automate and digitalize ergonomics assessment processes in industry.

Place, publisher, year, edition, pages
Amsterdam; Berlin; Washington, DC: IOS Press, 2022
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 21
Keywords
Action levels, digital human modelling, motion capture, ergonomics assessments
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design; Interaction Lab (ILAB); VF-KDO
Identifiers
urn:nbn:se:his:diva-21095 (URN)10.3233/ATDE220142 (DOI)2-s2.0-85132799923 (Scopus ID)978-1-64368-268-6 (ISBN)978-1-64368-269-3 (ISBN)
Conference
10th Swedish Production Symposium (SPS2022), Skövde, April 26–29 2022
Funder
Knowledge FoundationVinnova
Note

CC BY-NC 4.0

lars.hanson@scania.com

This research was carried out within the VF-KDO profile (Virtual Factories with Knowledge-Driven Optimization) and the Synergy project Virtual Ergonomics, both funded by the Knowledge Foundation, as well as the VINNOVA-funded project VIVA – Virtual Vehicle Assembler. 

Available from: 2022-04-29 Created: 2022-04-29 Last updated: 2022-09-07Bibliographically approved
Iriondo Pascual, A., Mora, E., Högberg, D., Hanson, L., Lebram, M. & Lämkull, D. (2022). Using time-based musculoskeletal risk assessment methods to assess worker well-being in optimizations in a welding station design. In: Proceedings of the 7th International Digital Human Modeling Symposium (DHM 2022), August 29–30, 2022, Iowa City, Iowa, USA: . Paper presented at 7th International Digital Human Modeling Symposium (DHM 2022), August 29–30, 2022, Iowa City, Iowa, USA. The conference was followed by the Iowa Virtual Human Summit 2022. (pp. 1-13). University of Iowa Press, 7, Article ID 3.
Open this publication in new window or tab >>Using time-based musculoskeletal risk assessment methods to assess worker well-being in optimizations in a welding station design
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2022 (English)In: Proceedings of the 7th International Digital Human Modeling Symposium (DHM 2022), August 29–30, 2022, Iowa City, Iowa, USA, University of Iowa Press, 2022, Vol. 7, p. 1-13, article id 3Conference paper, Published paper (Refereed)
Abstract [en]

Simulation using virtual models is used widely in industries because it enables efficient creation, testing, and optimization of the design of products and production systems in virtual worlds. Simulation is also used in the design of workstations to assess worker well-being by using digital human modeling (DHM) tools. DHM tools typically include musculoskeletal risk assessment methods, such as RULA, REBA, OWAS, and NIOSH Lifting Equation, that can be used to study, analyze, and evaluate the risk of work-related musculoskeletal disorders of different design solutions in a proactive manner. However, most musculoskeletal risk assessment methods implemented in DHM tools are in essence made to assess static instances only. Also, the methods are typically made to support manual observations of the work rather than by algorithms in a software. This means that, when simulating full work sequences to evaluate manikins’ well-being, using these methods become problematic in terms of the legitimacy of the evaluation results. In addition to that, to consider objectives in optimizations, they should be measurable with real numbers, which most of musculoskeletal risk assessment methods cannot provide when simulating full work sequences.

In this study, we implemented the musculoskeletal risk assessment method OWAS in a digital tool connected to the DHM tool IPS IMMA. We applied the Lundqvist index on top of the OWAS whole body risk category score. This gave us an integer of the time-based ergonomic load for a specific simulation sequence, enabling us to qualitatively compare different design solutions. Using this approach, we performed an optimization in a welding gun workstation to improve the design of the workstation. The results show that using time-based musculoskeletal risk assessment methods as objective functions in optimizations in DHM tools can provide valuable decision support in finding solutions for workstation designs that consider worker well-being.

Place, publisher, year, edition, pages
University of Iowa Press, 2022
Keywords
ergonomics, digital human modeling, productivity, simulation, optimization
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design; Interaction Lab (ILAB); VF-KDO
Identifiers
urn:nbn:se:his:diva-21827 (URN)10.17077/dhm.31746 (DOI)978-0-9840378-4-1 (ISBN)
Conference
7th International Digital Human Modeling Symposium (DHM 2022), August 29–30, 2022, Iowa City, Iowa, USA. The conference was followed by the Iowa Virtual Human Summit 2022.
Note

Copyright © 2022 the author(s) 

Available from: 2022-09-20 Created: 2022-09-20 Last updated: 2024-02-22Bibliographically approved
Hemeren, P., Johannesson, M., Lebram, M. & Eriksson, F. (2021). Biological Motion Indicators for the Detection of Cyclists at Night. In: Erik Billing; Andreas Kalckert (Ed.), Proceedings of the 16th SweCog Conference: . Paper presented at SweCog 2021, the 16th SweCog conference, virtual from Skövde, Sweden, November 10-12, 2021 (pp. 29-31). Skövde: University of Skövde
Open this publication in new window or tab >>Biological Motion Indicators for the Detection of Cyclists at Night
2021 (English)In: Proceedings of the 16th SweCog Conference / [ed] Erik Billing; Andreas Kalckert, Skövde: University of Skövde , 2021, p. 29-31Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Skövde: University of Skövde, 2021
Series
SUSI, ISSN 1653-2325 ; 2021:2
Keywords
drivers, cyclists, reflectors, detection, biological motion, eye movements
National Category
Interaction Technologies Psychology (excluding Applied Psychology)
Research subject
Interaction Lab (ILAB); Media, Technology and Culture (MTEC)
Identifiers
urn:nbn:se:his:diva-20938 (URN)978-91-983667-8-5 (ISBN)
Conference
SweCog 2021, the 16th SweCog conference, virtual from Skövde, Sweden, November 10-12, 2021
Note

paul.hemeren@his.se

Available from: 2022-02-24 Created: 2022-02-24 Last updated: 2022-05-12Bibliographically approved
Torstensson, N., Susi, T., Wilhelmsson, U. & Lebram, M. (2020). Wizard of Oz and the design of a multi-player mixed reality game. In: Xiaowen Fang (Ed.), HCI in Games: Second International Conference, HCI-Games 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings. Paper presented at Second International Conference, HCI-Games 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020 (pp. 218-232). Cham: Springer
Open this publication in new window or tab >>Wizard of Oz and the design of a multi-player mixed reality game
2020 (English)In: HCI in Games: Second International Conference, HCI-Games 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings / [ed] Xiaowen Fang, Cham: Springer, 2020, p. 218-232Conference paper, Published paper (Refereed)
Abstract [en]

This paper describes the use of the WOz method in the development of a prototype for a multi-player mixed reality game for children. It is an adventure game with hidden treasures, clues to hiding places, and information that should not be revealed. The game design, however, includes deceptive elements aimed at luring players to give up information. The game’s underlying intent is to raise children’s online risk awareness. The WOz was used in the early developmental stage to evaluate and explore the game concept, and to find a way to synchronise and integrate different in-game processes. We describe four central game mechanics for which the wizarding proved to be highly useful. We also discuss some ethical aspects related to the method a such as well as to the game design. In sum, we found the WOz method as such to be very useful for game design and development.

Place, publisher, year, edition, pages
Cham: Springer, 2020
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 12211
Keywords
Game development, Mixed reality game, Wizard of Oz method, Caves, Human computer interaction, Mixed reality, Professional aspects, Risk perception, Adventure games, Developmental stage, Game concept, Game design, Risk awareness, Wizard of Oz, Computer games
National Category
Computer Sciences Human Computer Interaction
Research subject
Interaction Lab (ILAB); Media, Technology and Culture (MTEC)
Identifiers
urn:nbn:se:his:diva-18891 (URN)10.1007/978-3-030-50164-8_15 (DOI)2-s2.0-85088745358 (Scopus ID)978-3-030-50163-1 (ISBN)978-3-030-50164-8 (ISBN)
Conference
Second International Conference, HCI-Games 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020
Available from: 2020-08-11 Created: 2020-08-11 Last updated: 2020-10-28Bibliographically approved
Backlund, P., Maurin Söderholm, H., Engström, H., Andersson Hagiwara, M. & Lebram, M. (2018). Breaking Out of the Bubble Putting Simulation Into Context to Increase Immersion and Performance. Journal Simulation & Gaming, 49(6), 642-660
Open this publication in new window or tab >>Breaking Out of the Bubble Putting Simulation Into Context to Increase Immersion and Performance
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2018 (English)In: Journal Simulation & Gaming, ISSN 1046-8781, E-ISSN 1552-826X, Vol. 49, no 6, p. 642-660Article in journal (Refereed) Published
Abstract [en]

Objective. Simulation based training with full-size mannequins is a prominent means of training within the healthcare sector. Prehospital missions include all parts of the healthcare process which take place before a patient is handed over to the receiving hospital. This implies that the context for prehospital care is varied and potentially challenging or dangerous in several ways. In this article we present a study which explores immersion and performance by emergency medical services (EMS) professionals in in a training situation which takes the specifics of prehospital interventions into account.

Methods. The study was carried out as a field experiment at an ambulance unit. The experiment was designed to compare the differences between two types of medical scenarios: basic and contextualized. We analyzed the levels of immersion throughout the scenarios and then team performance was evaluated by independent experts. Both analyses were made by observing video recordings from multiple camera angles with a custom made analysis tool.

Results. Our results show that the contextualization of a medical scenario increases both immersion as measured by the Immersion Score Rating Instrument (ISRI) and team performance as measured by the Global Rating Scale (GRS). The overall ISRI score was higher in the contextualized condition as compared to the basic condition, with an average team wise difference of 2.94 (sd = 1.45). This difference is significant using a paired, two-tailed t-test (p<.001). The GRS score was higher for overall clinical performance in the contextualized scenario with an average team wise difference of 0.83 (sd = 0.83, p=.005).

Conclusions. Full-size mannequin simulation based training for EMS professionals may be enhanced by contextualizing the medical scenarios. The main benefits are that the contextualized scenarios better take prehospital medical challenges into account and allow participants to perform better.

Place, publisher, year, edition, pages
Sage Publications, 2018
Keywords
immersion, prehospital medicine, simulation-based training
National Category
Other Engineering and Technologies not elsewhere specified
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-15165 (URN)10.1177/1046878118772612 (DOI)000453535000004 ()2-s2.0-85047428895 (Scopus ID)
Note

© The Author(s) 2018

Available from: 2018-05-24 Created: 2018-05-24 Last updated: 2021-01-07Bibliographically 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.

Place, publisher, year, edition, pages
Elsevier, 2018
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
Note

CC BY-NC-ND 4.0

Available from: 2018-06-04 Created: 2018-06-04 Last updated: 2020-11-04Bibliographically approved
Riveiro, M., Lebram, M. & Elmer, M. (2017). Anomaly Detection for Road Traffic: A Visual Analytics Framework. IEEE transactions on intelligent transportation systems (Print), 18(8), 2260-2270, Article ID 7887700.
Open this publication in new window or tab >>Anomaly Detection for Road Traffic: A Visual Analytics Framework
2017 (English)In: IEEE transactions on intelligent transportation systems (Print), ISSN 1524-9050, E-ISSN 1558-0016, Vol. 18, no 8, p. 2260-2270, article id 7887700Article in journal (Refereed) Published
Abstract [en]

The analysis of large amounts of multidimensional road traffic data for anomaly detection is a complex task. Visual analytics can bridge the gap between computational and human approaches to detecting anomalous behavior in road traffic, making the data analysis process more transparent. In this paper, we present a visual analytics framework that provides support for: 1) the exploration of multidimensional road traffic data; 2) the analysis of normal behavioral models built from data; 3) the detection of anomalous events; and 4) the explanation of anomalous events. We illustrate the use of this framework with examples from a large database of real road traffic data collected from several areas in Europe. Finally, we report on feedback provided by expert analysts from Volvo Group Trucks Technology, regarding its design and usability.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers, 2017
Keywords
Anomaly detection, visual analytics, normal traffic model, intelligent transport systems
National Category
Computer Sciences
Research subject
Skövde Artificial Intelligence Lab (SAIL); Interaction Lab (ILAB); INF301 Data Science; INF302 Autonomous Intelligent Systems
Identifiers
urn:nbn:se:his:diva-14111 (URN)10.1109/TITS.2017.2675710 (DOI)000407347300022 ()2-s2.0-85017131904 (Scopus ID)
Funder
Knowledge Foundation, 20140294
Note

© 2017 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.

Available from: 2017-09-14 Created: 2017-09-14 Last updated: 2021-01-14Bibliographically approved
Hemeren, P. E., Johannesson, M., Lebram, M. & Eriksson, F. (2017). Detecting Cyclists at Night: visibility effects of reflector placement and different lighting conditions. In: Proceedings of the 6th Annual International Cycling Safety Conference: . Paper presented at 6th Annual International Cycling Safety Conference. Davis, California, USA, September 21-22, 2017.
Open this publication in new window or tab >>Detecting Cyclists at Night: visibility effects of reflector placement and different lighting conditions
2017 (English)In: Proceedings of the 6th Annual International Cycling Safety Conference, 2017Conference paper, Oral presentation with published abstract (Refereed)
Keywords
biological motion, cyclist visibility, reflectors, attention, night driving
National Category
Applied Psychology
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-14706 (URN)
Conference
6th Annual International Cycling Safety Conference. Davis, California, USA, September 21-22, 2017
Available from: 2018-02-01 Created: 2018-02-01 Last updated: 2018-03-26Bibliographically approved
Backlund, P., Engström, H., Johannesson, M., Lebram, M., Danielsson, M., Andersson Hagiwara, M., . . . Maurin Söderholm, H. (2017). The S.A.R.E.K Simulation Environment: Technical description of a flexible training environment for prehospital care. Skövde: Högskolan i Skövde
Open this publication in new window or tab >>The S.A.R.E.K Simulation Environment: Technical description of a flexible training environment for prehospital care
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2017 (English)Report (Other academic)
Abstract [en]

This report contains a technical description of the result of the S.A.R.E.K (Simulation – Ambulance – Research – Education - Kinship) collaboration project and the Sim2020 project. The projects are collaborations between researchers in healthcare and IT, and prehospital care practitioners, with the aim to design, develop and test a contextualized simulation environment for prehospital care. We built a simulation environment representing the full depth and width of a prehospital care process. Breadth refers to including all phases of a prehospital mission, from dispatch to handover; while depth refers to detailed representations and recreation of artefacts, information and context for each of these phases. This report outlines the details of the overall design, all equipment and practical solutions used to create this.  

Apart from the installation which is described in this report we have also developed methods and carried out a variety of tests and experiments which are reported elsewhere. The focus of this report is the system and its components.

Place, publisher, year, edition, pages
Skövde: Högskolan i Skövde, 2017. p. 12
Series
IIT Technical Reports ; HS-IIT-TR-17-001
Keywords
prehospital simulation
National Category
Other Engineering and Technologies
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-13558 (URN)
Projects
Sim2020SAREK
Funder
Swedish Agency for Economic and Regional GrowthRegion Västra Götaland
Note

Editor: Per Backlund

Available from: 2017-05-12 Created: 2017-05-12 Last updated: 2020-08-14Bibliographically approved
Projects
Synergy Virtual Ergonomics (SVE) [20180167]; University of Skövde; Publications
Iriondo Pascual, A. (2023). Simulation-based multi-objective optimization of productivity and worker well-being. (Doctoral dissertation). Skövde: University of SkövdeHanson, L., Högberg, D., Brolin, E., Billing, E., Iriondo Pascual, A. & Lamb, M. (2022). Current Trends in Research and Application of Digital Human Modeling. In: Nancy L. Black; W. Patrick Neumann; Ian Noy (Ed.), Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021): Volume V: Methods & Approaches. Paper presented at 21st Congress of the International Ergonomics Association (IEA 2021), 13-18 June (pp. 358-366). Cham: SpringerGarcia Rivera, F., Högberg, D., Lamb, M. & Perez Luque, E. (2022). DHM supported assessment of the effects of using an exoskeleton during work. International Journal of Human Factors Modelling and Simulation, 7(3/4), 231-246Marshall, R., Brolin, E., Summerskill, S. & Högberg, D. (2022). Digital Human Modelling: Inclusive Design and the Ageing Population (1ed.). In: Sofia Scataglini; Silvia Imbesi; Gonçalo Marques (Ed.), Internet of Things for Human-Centered Design: Application to Elderly Healthcare (pp. 73-96). Singapore: Springer NatureIriondo Pascual, A., Lind, A., Högberg, D., Syberfeldt, A. & Hanson, L. (2022). Enabling Concurrent Multi-Objective Optimization of Worker Well-Being and Productivity in DHM Tools. In: Amos H. C. Ng; Anna Syberfeldt; Dan Högberg; Magnus Holm (Ed.), SPS2022: Proceedings of the 10th Swedish Production Symposium. Paper presented at 10th Swedish Production Symposium (SPS2022), Skövde, April 26–29 2022 (pp. 404-414). Amsterdam; Berlin; Washington, DC: IOS PressIriondo Pascual, A., Smedberg, H., Högberg, D., Syberfeldt, A. & Lämkull, D. (2022). Enabling Knowledge Discovery in Multi-Objective Optimizations of Worker Well-Being and Productivity. Sustainability, 14(9), Article ID 4894. Lamb, M., Brundin, M., Perez Luque, E. & Billing, E. (2022). Eye-Tracking Beyond Peripersonal Space in Virtual Reality: Validation and Best Practices. Frontiers in Virtual Reality, 3, Article ID 864653. Hanson, L., Högberg, D., Iriondo Pascual, A., Brolin, A., Brolin, E. & Lebram, M. (2022). Integrating Physical Load Exposure Calculations and Recommendations in Digitalized Ergonomics Assessment Processes. In: Amos H. C. Ng; Anna Syberfeldt; Dan Högberg; Magnus Holm (Ed.), SPS2022: Proceedings of the 10th Swedish Production Symposium. Paper presented at 10th Swedish Production Symposium (SPS2022), Skövde, April 26–29 2022 (pp. 233-239). Amsterdam; Berlin; Washington, DC: IOS PressIriondo Pascual, A., Högberg, D., Syberfeldt, A., Brolin, E., Perez Luque, E., Hanson, L. & Lämkull, D. (2022). Multi-objective Optimization of Ergonomics and Productivity by Using an Optimization Framework. In: Nancy L. Black; W. Patrick Neumann; Ian Noy (Ed.), Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021): Volume V: Methods & Approaches. Paper presented at 21st Congress of the International Ergonomics Association (IEA 2021), 13-18 June, 2021 (pp. 374-378). Cham: SpringerGarcía Rivera, F., Lamb, M., Högberg, D. & Brolin, A. (2022). The Schematization of XR Technologies in the Context of Collaborative Design. In: Amos H. C. Ng; Anna Syberfeldt; Dan Högberg; Magnus Holm (Ed.), SPS2022: Proceedings of the 10th Swedish Production Symposium. Paper presented at 10th Swedish Production Symposium (SPS2022), Skövde, April 26–29 2022 (pp. 520-529). Amsterdam; Berlin; Washington, DC: IOS Press
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-6310-346X

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