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Perez Luque, E., Brolin, E., Högberg, D. & Lamb, M. (2022). Challenges for the Consideration of Ergonomics in Product Development in the Swedish Automotive Industry – An Interview Study. In: DESIGN2022: . Paper presented at DESIGN2022, 17th International Design Conference, May, 23-26, 2022, Croatia (pp. 2165-2174). Cambridge University Press, 2
Open this publication in new window or tab >>Challenges for the Consideration of Ergonomics in Product Development in the Swedish Automotive Industry – An Interview Study
2022 (English)In: DESIGN2022, Cambridge University Press, 2022, Vol. 2, p. 2165-2174Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents an interview study aiming to understand the state of the art of how ergonomics designers work in the vehicle development process within the Swedish automotive industry. Ten ergonomic designers from seven different companies participated in the interview study. Results report the ergonomics designers' objectives, workflow, tools, challenges, and ideal work performance tool. We identify four main gaps and research directions that can enhance the current challenges: human behavior predictions, simulation tool usability, ergonomics evaluations, and integration between systems.

Place, publisher, year, edition, pages
Cambridge University Press, 2022
Series
Proceedings of the Design Society, E-ISSN 2732-527X ; Volume 2 - May 2022
Keywords
vehicle, ergonomics, human-centred design, simulation-based design, digital human modelling
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design; Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-22133 (URN)10.1017/pds.2022.219 (DOI)2-s2.0-85131373032 (Scopus ID)
Conference
DESIGN2022, 17th International Design Conference, May, 23-26, 2022, Croatia
Funder
Knowledge Foundation
Note

estela.perez.luque@his.se

This work has been made possible with the support from Knowledge Foundation in the project ADOPTIVE-Automated Design and Optimisation of Vehicle Ergonomics and participating organizations. This support is gratefully acknowledged.

Available from: 2022-12-16 Created: 2022-12-16 Last updated: 2023-01-17Bibliographically approved
Garcia 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), 231-246
Open this publication in new window or tab >>DHM supported assessment of the effects of using an exoskeleton during work
2022 (English)In: International Journal of Human Factors Modelling and Simulation, ISSN 1742-5549, Vol. 7, no 3/4, p. 231-246Article in journal (Refereed) Published
Abstract [en]

Recently, exoskeletons have been gaining popularity in many industries, primarily for supporting manual assembly tasks. Due to the relative novelty of exoskeleton technologies, knowledge about the consequences of using these devices at workstations is still developing. Digital human modelling (DHM) and ergonomic evaluation tools may be of particular use in this context. However, there are no standard integrations of DHM and ergonomic assessment tools for assessing exoskeletons. This paper proposes a general method for evaluating the ergonomic effects of introducing an exoskeleton in a production context using DHM simulation tools combined with a modified existing ergonomic assessment framework. More specifically, we propose adapting the Assembly Specific Force Atlas tool to evaluate exoskeletons by increasing the risk level threshold proportionally to the amount of torque that the exoskeleton reduces in the glenohumeral joint. We illustrate this adaptation in a DHM tool. We believe the proposed methodology and the corresponding workflow can be helpful for decision-makers and stakeholders when considering implementing exoskeletons in a production environment.

Place, publisher, year, edition, pages
Geneva: InderScience Publishers, 2022
Keywords
digital human modelling, DHM, assessment, ergonomics, exoskeleton, Assembly Specific Force Atlas, ASFA
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design; INF202 Virtual Ergonomics; Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-21703 (URN)10.1504/ijhfms.2021.10048920 (DOI)
Funder
Vinnova, 2018-05026Knowledge Foundation, 20180167
Available from: 2022-08-22 Created: 2022-08-22 Last updated: 2022-10-17Bibliographically approved
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.
Open this publication in new window or tab >>Eye-Tracking Beyond Peripersonal Space in Virtual Reality: Validation and Best Practices
2022 (English)In: Frontiers in Virtual Reality, E-ISSN 2673-4192, Vol. 3, article id 864653Article in journal (Refereed) Published
Abstract [en]

Recent developments in commercial virtual reality (VR) hardware with embedded eye-tracking create tremendous opportunities for human subjects researchers. Accessible eye-tracking in VR opens new opportunities for highly controlled experimental setups in which participants can engage novel 3D digital environments. However, because VR embedded eye-tracking differs from the majority of historical eye-tracking research, in both providing for relatively unconstrained movement and stimulus presentation distances, there is a need for greater discussion around methods for implementation and validation of VR based eye-tracking tools. The aim of this paper is to provide a practical introduction to the challenges of, and methods for, 3D gaze-tracking in VR with a focus on best practices for results validation and reporting. Specifically, first, we identify and define challenges and methods for collecting and analyzing 3D eye-tracking data in VR. Then, we introduce a validation pilot study with a focus on factors related to 3D gaze tracking. The pilot study provides both a reference data point for a common commercial hardware/software platform (HTC Vive Pro Eye) and illustrates the proposed methods. One outcome of this study was the observation that accuracy and precision of collected data may depend on stimulus distance, which has consequences for studies where stimuli is presented on varying distances. We also conclude that vergence is a potentially problematic basis for estimating gaze depth in VR and should be used with caution as the field move towards a more established method for 3D eye-tracking.

Place, publisher, year, edition, pages
Frontiers Media S.A., 2022
Keywords
eye tracking, virtual reality, gaze depth, vergence, validation
National Category
Computer Sciences Human Computer Interaction Interaction Technologies
Research subject
Interaction Lab (ILAB); User Centred Product Design
Identifiers
urn:nbn:se:his:diva-21062 (URN)10.3389/frvir.2022.864653 (DOI)001023339600001 ()2-s2.0-85138010016 (Scopus ID)
Funder
Knowledge Foundation
Note

CC BY 4.0

Correspondence: Maurice Lamb Maurice.Lamb@his.se

published: 08 April 2022

The raw data supporting the conclusions of this article will bemade available by the authors, without undue reservation. The software used for data collection in this project can be found at https://doi.org/10.5281/zenodo.6368107.

Funding of this project was provided through the Knowledge Foundation as a part of both the Recruitment and Strategic Knowledge Reinforcement initiative and within the Synergy Virtual Ergonomics (SVE) project (#20180167).

We want to thank the Knowledge Foundation and the associated INFINIT research environment at the University of Skövde for support through funding of both the Recruitment and Strategic Knowledge Reinforcement initiative and within the Synergy Virtual Ergonomics (SVE) project. This support is gratefully acknowledged.

Available from: 2022-04-14 Created: 2022-04-14 Last updated: 2023-08-23Bibliographically approved
Iriondo 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: Springer
Open this publication in new window or tab >>Multi-objective Optimization of Ergonomics and Productivity by Using an Optimization Framework
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2022 (English)In: Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021): Volume V: Methods & Approaches / [ed] Nancy L. Black; W. Patrick Neumann; Ian Noy, Cham: Springer, 2022, p. 374-378Conference paper, Published paper (Refereed)
Abstract [en]

Simulation technologies are widely used in industry as they enable efficient creation, testing, and optimization of the design of products and production systems in virtual worlds, rather than creating,testing, and optimizing prototypes in the physical world. In an industrial production context, simulation of productivity and ergonomics helps companies to find and realize optimized solutions that uphold profitability, output, quality, and worker well-being in their production facilities. However, these two types of simulations are typically carried out using separate software, used by different users, with different objectives. This easily causes silo effects, leading to slow development processes and sub-optimal solutions. This paper reports on research related to the realization of an optimization framework that enables the concurrent optimization of aspects relating to both ergonomics and productivity. The framework is meant to facilitate the inclusion of Ergonomics 4.0 in the Industry 4.0 revolution.

Place, publisher, year, edition, pages
Cham: Springer, 2022
Series
Lecture Notes in Networks and Systems, ISSN 2367-3370, E-ISSN 2367-3389 ; 223
Keywords
Ergonomics, Digital human modeling, Productivity, Simulation, Optimization
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design; Production and Automation Engineering; VF-KDO
Identifiers
urn:nbn:se:his:diva-19954 (URN)10.1007/978-3-030-74614-8_46 (DOI)2-s2.0-85111418004 (Scopus ID)978-3-030-74613-1 (ISBN)978-3-030-74614-8 (ISBN)
Conference
21st Congress of the International Ergonomics Association (IEA 2021), 13-18 June, 2021
Funder
Vinnova, 2018-02227Vinnova, 2018-05026Knowledge Foundation, 20180167
Note

© 2022

This work has been supported by ITEA3 in the project MOSIM, the Knowledge Foundation and the associated INFINIT research environment at the University of Skövde, within the Virtual Factories with Knowledge-Driven Optimization (VF-KDO) research profile and the Synergy Virtual Ergonomics (SVE) project, and by the participating organizations. Their support is gratefully acknowledged.

Available from: 2021-06-22 Created: 2021-06-22 Last updated: 2024-02-22Bibliographically approved
Perez Luque, E., Brolin, E., Lamb, M. & Högberg, D. (2022). Simulation of hip joint location for occupant packaging 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. 1-12). University of Iowa Press, 7, Article ID 34.
Open this publication in new window or tab >>Simulation of hip joint location for occupant packaging design
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. 1-12, article id 34Conference paper, Published paper (Refereed)
Abstract [en]

DHM tools have been widely used to analyze and improve vehicle occupant packaging and interior design in the automotive industry. However, these tools still present some limitations for this application. Accurately characterizing seated posture is crucial for ergonomic and safety evaluations. Current human posture and motion predictions in DHM tools are not accurate enough for the precise nature of vehicle interior design, typically requiring manual adjustments from DHM users to get more accurate driving and passenger simulations. Manual adjustment processes can be time-consuming, tedious, and subjective, easily causing non-repeatable simulation results. These limitations create the need to validate the simulation results with real-world studies, which increases the cost and time in the vehicle development process. Working with multiple Swedish automotive companies, we have begun to identify and specify the limitations of DHM tools relating to driver and passenger posture predictions given predefined vehicle geometry points/coordinates and specific human body parts relationships. Two general issues frame the core limitations. First, human kinematic models used in DHM tools are based on biomechanics models that do not provide definitions of these models in relation to vehicle geometries. Second, vehicle designers follow standards and regulations to obtain key human reference points in seated occupant locations. However, these reference points can fail to capture the range of human variability. This paper describes the relationship between a seated reference point and a biomechanical hip joint for driving simulations. The lack of standardized connection between occupant packaging guidelines and the biomechanical knowledge of humans creates a limitation for ergonomics designers and DHM users. We assess previous studies addressing hip joint estimation from different fields to establish the key aspects that might affect the relationship between standard vehicle geometry points and the hip joint. Then we suggest a procedure for standardizing points in human models within DHM tools. A better understanding of this problem may contribute to achieving closer to reality driving posture simulations and facilitating communication of ergonomics requirements to the design team within the product development process.

Place, publisher, year, edition, pages
University of Iowa Press, 2022
Keywords
hip joint, H-point, seated reference point, simulation, digital human modelling
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design; Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-21831 (URN)10.17077/dhm.31742 (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: 2022-10-17Bibliographically approved
Lamb, M., Pérez Luque, E. & Billing, E. (2022). Understanding Eye-Tracking in Virtual Reality. In: Hadi Banaee; Amy Loutfi; Alessandro Saffiotti; Antonio Lieto (Ed.), AIC 2022 Artificial Intelligence and Cognition 2022: Proceedings of the 8th International Workshop on Artificial Intelligence and Cognition, Örebro, Sweden, 15-17 June, 2022. Paper presented at 8th International Workshop on Artificial Intelligence and Cognition, Örebro, Sweden, 15-17 June, 2022 (pp. 180-181). CEUR-WS.org
Open this publication in new window or tab >>Understanding Eye-Tracking in Virtual Reality
2022 (English)In: AIC 2022 Artificial Intelligence and Cognition 2022: Proceedings of the 8th International Workshop on Artificial Intelligence and Cognition, Örebro, Sweden, 15-17 June, 2022 / [ed] Hadi Banaee; Amy Loutfi; Alessandro Saffiotti; Antonio Lieto, CEUR-WS.org , 2022, p. 180-181Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
CEUR-WS.org, 2022
Series
CEUR Workshop Proceedings, ISSN 1613-0073 ; 3400
National Category
Human Computer Interaction Human Aspects of ICT
Research subject
Interaction Lab (ILAB); User Centred Product Design
Identifiers
urn:nbn:se:his:diva-22532 (URN)2-s2.0-85160819971 (Scopus ID)
Conference
8th International Workshop on Artificial Intelligence and Cognition, Örebro, Sweden, 15-17 June, 2022
Funder
Knowledge Foundation
Note

CC BY 4.0

Short paper

Funding of this project was provided through the Swedish Knowledge Foundation as a part of both the Recruitment and Strategic Knowledge Reinforcement initiative and within the Synergy Virtual Ergonomics (SVE) project (#20180167).

Available from: 2023-05-22 Created: 2023-05-22 Last updated: 2023-09-11
Garcia Rivera, F., Brolin, A., Perez Luque, E. & Högberg, D. (2021). A Framework to Model the Use of Exoskeletons in DHM Tools. In: Julia L. Wright; Daniel Barber; Sofia Scataglini; Sudhakar L. Rajulu (Ed.), Advances in Simulation and Digital Human Modeling: Proceedings of the AHFE 2021 Virtual Conferences on Human Factors and Simulation, and Digital Human Modeling and Applied Optimization, July 25-29, 2021, USA. Paper presented at AHFE International Conference on Human Factors and Simulation and the AHFE International Conference on Digital Human Modeling and Applied Optimization, 2021, Virtual, Online, 25 July 2021 - 29 July 2021, USA (pp. 312-319). Cham: Springer
Open this publication in new window or tab >>A Framework to Model the Use of Exoskeletons in DHM Tools
2021 (English)In: Advances in Simulation and Digital Human Modeling: Proceedings of the AHFE 2021 Virtual Conferences on Human Factors and Simulation, and Digital Human Modeling and Applied Optimization, July 25-29, 2021, USA / [ed] Julia L. Wright; Daniel Barber; Sofia Scataglini; Sudhakar L. Rajulu, Cham: Springer, 2021, p. 312-319Conference paper, Published paper (Refereed)
Abstract [en]

Work-related musculoskeletal disorders (WMSDs) constitute a large part of work absences among industry workers, together with all the health and economic problems that it carries. Exoskeletons developed for overhead operations can potentially be a solution to reduce risks for WMSDs. However, some companies are still hesitant to implement exoskeletons in their workplace, since the effects of using exoskeletons are still not fully proved. Digital human modeling (DHM) could help with this dilemma by facilitating studies of the viability of the exoskeletons for specific work tasks. This paper proposes a DHM based framework to implement the study of upper body exoskeletons focused on overhead assembly operations. The framework emphasizes the kinematics and forces interaction between the human and the exoskeleton. 

Place, publisher, year, edition, pages
Cham: Springer, 2021
Series
Lecture Notes in Networks and Systems, ISSN 2367-3370, E-ISSN 2367-3389 ; 264
Keywords
DHM, Digital human modelling, Exoskeleton, Simulation
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design; VF-KDO
Identifiers
urn:nbn:se:his:diva-20484 (URN)10.1007/978-3-030-79763-8_38 (DOI)2-s2.0-85111956387 (Scopus ID)978-3-030-79762-1 (ISBN)978-3-030-79763-8 (ISBN)
Conference
AHFE International Conference on Human Factors and Simulation and the AHFE International Conference on Digital Human Modeling and Applied Optimization, 2021, Virtual, Online, 25 July 2021 - 29 July 2021, USA
Note

© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

This work has been made possible with the support from the Knowledge Foundation supported research environment INFINIT at the University of Skövde, in the project Synergy Virtual Ergonomics (SVE), and with support from VINNOVA in the project VIVA - the Virtual Vehicle Assembler, and by the participating organizations. This support is gratefully acknowledged.

Available from: 2021-08-19 Created: 2021-08-19 Last updated: 2023-02-24Bibliographically approved
Iriondo Pascual, A., Högberg, D., Lämkull, D., Perez Luque, E., Syberfeldt, A. & Hanson, L. (2021). Optimization of Productivity and Worker Well-Being by Using a Multi-Objective Optimization Framework. IISE Transactions on Occupational Ergonomics and Human Factors, 9(3-4), 143-153
Open this publication in new window or tab >>Optimization of Productivity and Worker Well-Being by Using a Multi-Objective Optimization Framework
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2021 (English)In: IISE Transactions on Occupational Ergonomics and Human Factors, ISSN 2472-5838, Vol. 9, no 3-4, p. 143-153Article in journal (Refereed) Published
Abstract [en]

OCCUPATIONAL APPLICATIONS

Worker well-being and overall system performance are important elements in the design of production lines. However, studies of industry practice show that current design tools are unable to consider concurrently both productivity aspects (e.g., line balancing and cycle time) and worker well-being related aspects (e.g., the risk of musculoskeletal disorders). Current practice also fails to account for anthropometric diversity in the workforce and does not use the potential of multi-objective simulation-based optimization techniques. Accordingly, a framework consisting of a workflow and a digital tool was designed to assist in the proactive design of workstations to accommodate worker well-being and productivity. This framework uses state-of-the-art optimization techniques to make it easier and quicker for designers to find successful workplace design solutions. A case study to demonstrate the framework is provided

TECHNICAL ABSTRACT

Rationale: Simulation technologies are used widely in industry as they enable efficient creation, testing, and optimization of the design of products and production systems in virtual worlds. Simulations of productivity and ergonomics help companies to find optimized solutions that maintain profitability, output, quality, and worker well-being. However, these two types of simulations are typically carried out using separate tools, by persons with different roles, with different objectives. Silo effects can result, leading to slow development processes and suboptimal solutions.

Purpose: This research is related to the realization of a framework that enables the concurrent optimization of worker well-being and productivity. The framework demonstrates how digital human modeling can contribute to Ergonomics 4.0 and support a human factors centered approach in Industry 4.0. The framework also facilitates consideration of anthropometric diversity in the user group.

Methods: Design and creation methodology was used to create a framework that was applied to a case study, formulated together with industry partners, to demonstrate the functionality of the noted framework.

Results: The framework workflow has three parts: (1) Problem definition and creation of the optimization model; (2) Optimization process; and (3) Presentation and selection of results. The case study shows how the framework was used to find a workstation design optimized for both productivity and worker well-being for a diverse group of workers.

Conclusions: The framework presented allows for multi-objective optimizations of both worker well-being and productivity and was successfully applied in a welding gun use case.

Place, publisher, year, edition, pages
Taylor & Francis, 2021
Keywords
ergonomics, digital human modeling, productivity, simulation, optimization
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design; Production and Automation Engineering; VF-KDO
Identifiers
urn:nbn:se:his:diva-20699 (URN)10.1080/24725838.2021.1997834 (DOI)000716285800001 ()34724884 (PubMedID)2-s2.0-85118760617 (Scopus ID)
Funder
Vinnova
Note

CC BY 4.0

CONTACT Aitor Iriondo Pascual aitor.iriondo.pascual@his.se

Published online: 09 Nov 2021

This work has received support from ITEA3/Vinnova in the project Modular Simulation of Natural Human Motions (MOSIM), and from the Knowledge Foundation and the associated INFINIT research environment at the University of Skövde, within the Virtual Factories–Knowledge-Driven Optimization (VF-KDO) research profile and the Synergy Virtual Ergonomics (SVE) project, and from the participating organizations. This support is gratefully acknowledged.

10.1080/24725838.2021.1997834

Available from: 2021-11-15 Created: 2021-11-15 Last updated: 2024-02-22Bibliographically approved
Igelmo, V., Syberfeldt, A., Högberg, D., García Rivera, F. & Peréz Luque, E. (2020). Aiding Observational Ergonomic Evaluation Methods Using MOCAP Systems Supported by AI-Based Posture Recognition. In: Lars Hanson, Dan Högberg, Erik Brolin (Ed.), DHM2020: Proceedings of the 6th International Digital Human Modeling Symposium, August 31 – September 2, 2020. Paper presented at 6th International Digital Human Modeling Symposium, August 31 – September 2, 2020, Skövde, Sweden (pp. 419-429). Amsterdam: IOS Press
Open this publication in new window or tab >>Aiding Observational Ergonomic Evaluation Methods Using MOCAP Systems Supported by AI-Based Posture Recognition
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2020 (English)In: DHM2020: Proceedings of the 6th International Digital Human Modeling Symposium, August 31 – September 2, 2020 / [ed] Lars Hanson, Dan Högberg, Erik Brolin, Amsterdam: IOS Press, 2020, p. 419-429Conference paper, Published paper (Refereed)
Abstract [en]

Observational ergonomic evaluation methods have inherent subjectivity. Observers’ assessment results might differ even with the same dataset. While motion capture (MOCAP) systems have improved the speed and the accuracy of motiondata gathering, the algorithms used to compute assessments seem to rely on predefined conditions to perform them. Moreover, the authoring of these conditions is not always clear. Making use of artificial intelligence (AI), along with MOCAP systems, computerized ergonomic assessments can become more alike to human observation and improve over time, given proper training datasets. AI can assist ergonomic experts with posture detection, useful when using methods that require posture definition, such as Ovako Working Posture Assessment System (OWAS). This study aims to prove the usefulness of an AI model when performing ergonomic assessments and to prove the benefits of having a specialized database for current and future AI training. Several algorithms are trained, using Xsens MVN MOCAP datasets, and their performance within a use case is compared. AI algorithms can provide accurate posture predictions. The developed approach aspires to provide with guidelines to perform AI-assisted ergonomic assessment based on observation of multiple workers.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2020
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 11
Keywords
Artificial Intelligence, Machine Learning, Motion Capture, Wearable Inertial Sensors, Ergonomic Assessment, Ergonomic Evaluation
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Production and Automation Engineering; User Centred Product Design; VF-KDO
Identifiers
urn:nbn:se:his:diva-19002 (URN)10.3233/ATDE200050 (DOI)000680825700043 ()2-s2.0-85091239183 (Scopus ID)978-1-64368-105-4 (ISBN)978-1-64368-104-7 (ISBN)
Conference
6th International Digital Human Modeling Symposium, August 31 – September 2, 2020, Skövde, Sweden
Funder
Knowledge Foundation, 20180167
Note

CC BY-NC 4.0 Funder: Knowledge Foundation and the INFINIT research environment (KKS Dnr. 20180167). This work has been made possible with the support of the Knowledge Foundation and the associated INFINIT research environment at the University of Skövde, in the Synergy Virtual Ergonomics (SVE) project, and by the participating organizations. This support is gratefully acknowledged.

Available from: 2020-09-07 Created: 2020-09-07 Last updated: 2023-02-24Bibliographically approved
Scataglini, S. & Perez Luque, E. (2020). Closing the Gender Gap in DHM. In: Lars Hanson; Dan Högberg; Erik Brolin (Ed.), DHM2020: Proceedings of the 6th International Digital Human Modeling Symposium, August 31 – September 2, 2020. Paper presented at 6th International Digital Human Modeling Symposium, August 31 – September 2, 2020, Skövde, Sweden (pp. 408-418). Amsterdam: IOS Press
Open this publication in new window or tab >>Closing the Gender Gap in DHM
2020 (English)In: DHM2020: Proceedings of the 6th International Digital Human Modeling Symposium, August 31 – September 2, 2020 / [ed] Lars Hanson; Dan Högberg; Erik Brolin, Amsterdam: IOS Press, 2020, p. 408-418Conference paper, Published paper (Refereed)
Abstract [en]

Digital Human Modelling by Women (DHMW) is an international group of women and supporters with the main purpose of eliminating the gender gap, empowering women to exchange ideas, results, visions, and promote the women's participation in the STEM (science, technology, engineering, and math) and DHM fields. This study presents a demographic investigation of human factors and behaviors affecting women in the DHM field. A questionnaire composed of several items was set up to analyze the situation: demographic map of women in DHM (age, country, and level of education), the field of application, factors related to career progression, and correct instruments to change the current situation of underrepresentation. Our results show a gap of women working in the DHM field in the industry or research institutes (21% and 8% respectively). While, the 56% are involved in the Academic world, with a 30% PhD and 26% PostDoc level. Worklife-balance (WLB), career progress (CP), family-balance vs career (FB VS C), and work schedule flexibility (WSF) resulted lower in women of 30-34 and 35-39 years old. As a result, it is necessary to adopt strategies focus on support mentoring programs, career progress, childcare support, and flexible work schedule aiming to eliminate women inequality and stigmatization. This will open up borders in Academics, Industry, and Research education closing the gap in the DHM field.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2020
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 11
Keywords
Women, STEM, DHM, DHMW, Modelling, Gender Balance
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design
Identifiers
urn:nbn:se:his:diva-19001 (URN)10.3233/ATDE200049 (DOI)000680825700042 ()2-s2.0-85091227326 (Scopus ID)978-1-64368-104-7 (ISBN)978-1-64368-105-4 (ISBN)
Conference
6th International Digital Human Modeling Symposium, August 31 – September 2, 2020, Skövde, Sweden
Funder
Knowledge Foundation, 20180167
Note

BY-NC 4.0 Funder: Knowledge Foundation and the INFINIT research environment (KKS Dnr. 20180167). This work was supported by University of Skövde (Synergy Virtual Ergonomics project) and the University of Antwerp. We would like to thank all the DHMW who participated in making the first draft of the survey during the last DHM Symposium 2017, where the DHMW group was born. This support is gratefully acknowledged.

Available from: 2020-09-07 Created: 2020-09-07 Last updated: 2022-02-21Bibliographically approved
Projects
VIVA - the Virtual Vehicle Assembler [2018-05026]; ; 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), 231-246Hanson, 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 PressGarcia Rivera, F., Brolin, A., Perez Luque, E. & Högberg, D. (2021). A Framework to Model the Use of Exoskeletons in DHM Tools. In: Julia L. Wright; Daniel Barber; Sofia Scataglini; Sudhakar L. Rajulu (Ed.), Advances in Simulation and Digital Human Modeling: Proceedings of the AHFE 2021 Virtual Conferences on Human Factors and Simulation, and Digital Human Modeling and Applied Optimization, July 25-29, 2021, USA. Paper presented at AHFE International Conference on Human Factors and Simulation and the AHFE International Conference on Digital Human Modeling and Applied Optimization, 2021, Virtual, Online, 25 July 2021 - 29 July 2021, USA (pp. 312-319). Cham: SpringerPerez Luque, E., Högberg, D., Iriondo Pascual, A., Lämkull, D. & Garcia Rivera, F. (2020). Motion Behavior and Range of Motion when Using Exoskeletons in Manual Assembly Tasks. In: Kristina Säfsten; Fredrik Elgh (Ed.), SPS2020: Proceedings of the Swedish Production Symposium, October 7–8, 2020. Paper presented at 9th Swedish Production Symposium (SPS2020), 7-8 October 2020, Jönköping, Sweden (pp. 217-228). Amsterdam: IOS PressBrolin, E., Högberg, D. & Hanson, L. (2020). Skewed Boundary Confidence Ellipses for Anthropometric Data. In: Lars Hanson, Dan Högberg, Erik Brolin (Ed.), DHM2020: Proceedings of the 6th International Digital Human Modeling Symposium, August 31 – September 2, 2020. Paper presented at 6th International Digital Human Modeling Symposium, August 31 – September 2, 2020, Skövde, Sweden (pp. 18-27). Amsterdam: IOS PressReinhard, R., Mårdberg, P., García Rivera, F., Forsberg, T., Berce, A., Mingji, F. & Högberg, D. (2020). The Use and Usage of Virtual Reality Technologies in Planning and Implementing New Workstations. In: Lars Hanson; Dan Högberg; Erik Brolin (Ed.), DHM2020: Proceedings of the 6th International Digital Human Modeling Symposium, August 31 – September 2, 2020. Paper presented at Proceedings of the 6th International Digital Human Modeling Symposium, August 31 – September 2, 2020, Skövde, Sweden (pp. 388-397). Amsterdam: IOS Press
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
ADOPTIVE – Automated Design & Optimisation of Vehicle Ergonomics [20200003]; University of Skövde; Publications
Perez Luque, E., Brolin, E., Högberg, D. & Lamb, M. (2022). Challenges for the Consideration of Ergonomics in Product Development in the Swedish Automotive Industry – An Interview Study. In: DESIGN2022: . Paper presented at DESIGN2022, 17th International Design Conference, May, 23-26, 2022, Croatia (pp. 2165-2174). Cambridge University Press, 2Hanson, 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: SpringerMarshall, 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 NatureKolbeinsson, A., Brolin, E. & Lindblom, J. (2021). Data-Driven Personas: Expanding DHM for a Holistic Approach. In: Julia L. Wright; Daniel Barber; Sofia Scataglini; Sudhakar L. Rajulu (Ed.), Advances in Simulation and Digital Human Modeling: Proceedings of the AHFE 2021 Virtual Conferences on Human Factors and Simulation, and Digital Human Modeling and Applied Optimization, July 25-29, 2021, USA. Paper presented at International Conference on Applied Human Factors and Ergonomics (AHFE 2021), USA, July 25-29, 2021. (pp. 296-303). Springer, 264Brolin, E., Högberg, D. & Hanson, L. (2020). Skewed Boundary Confidence Ellipses for Anthropometric Data. In: Lars Hanson, Dan Högberg, Erik Brolin (Ed.), DHM2020: Proceedings of the 6th International Digital Human Modeling Symposium, August 31 – September 2, 2020. Paper presented at 6th International Digital Human Modeling Symposium, August 31 – September 2, 2020, Skövde, Sweden (pp. 18-27). Amsterdam: IOS PressBrolin, E., Högberg, D. & Nurbo, P. (2020). Statistical Posture Prediction of Vehicle Occupants in Digital Human Modelling Tools. In: Vincent G. Duffy (Ed.), Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Posture, Motion and Health: 11th International Conference, DHM 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part I. Paper presented at 11th International Conference, DHM 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020 (pp. 3-17). Cham: Springer
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-0746-9816

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