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Publications (10 of 137) Show all publications
Rolfö, L. & Eklund, J. (2019). A proposed methods framework and a pilot intervention for workplace design. In: 20th Congress of the International Ergonomics Association, IEA 2018: . Paper presented at 20th Congress of the International Ergonomics Association, IEA 2018, Florence, Italy, 26 August 2018 through 30 August 2018 (pp. 356-365). Springer, 824
Open this publication in new window or tab >>A proposed methods framework and a pilot intervention for workplace design
2019 (English)In: 20th Congress of the International Ergonomics Association, IEA 2018, Springer, 2019, Vol. 824, p. 356-365Conference paper, Published paper (Refereed)
Abstract [en]

The workspace design process offers opportunities for significant improvements of work environments at low costs. However, work environment experts and Occupational Health Services (OHS) personnel are not seen as natural partners, inhibiting their chances of getting experience. This paper reports results from a national pilot intervention project comprised of a methods framework and a course. The aim of the intervention was to teach these professionals reliable, cost-effective and feasible methods for conducting workplace design projects. The intervention also aimed to increase employee participation in workplace design processes and thereby achieve better impact in these cases. Methods were taught to 56 work environment experts, also creating incentives for them to practice this knowledge. These experts were given incentives to contact and offer their client organizations services for planning new work environments. In the long term, the competence within the field of workplace design on a national level hopefully will be improved.

Place, publisher, year, edition, pages
Springer, 2019
Series
Advances in Intelligent Systems and Computing, ISSN 2194-5357 ; 824
Keywords
Ergonomists, Office planning, Participatory design
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:kth:diva-234083 (URN)10.1007/978-3-319-96071-5_38 (DOI)000473061800027 ()2-s2.0-85052337012 (Scopus ID)9783319960708 (ISBN)
Conference
20th Congress of the International Ergonomics Association, IEA 2018, Florence, Italy, 26 August 2018 through 30 August 2018
Note

QC 20180905

Available from: 2018-09-05 Created: 2018-09-05 Last updated: 2019-07-29Bibliographically approved
Eklund, J. (2019). Application of the HTO Concept for a Powered Pallet Truck. In: 20th Congress of the International Ergonomics Association, IEA 2018: . Paper presented at 20th Congress of the International Ergonomics Association, IEA 2018, Florence, Italy, 26 August 2018 through 30 August 2018 (pp. 482-485). Springer, 821
Open this publication in new window or tab >>Application of the HTO Concept for a Powered Pallet Truck
2019 (English)In: 20th Congress of the International Ergonomics Association, IEA 2018, Springer, 2019, Vol. 821, p. 482-485Conference paper, Published paper (Refereed)
Abstract [en]

Truck drivers suffer work injuries to a higher extent than most other occupations. The HTO concept and the interaction framework were applied in a pre-study leading to a redesign of a new powered pallet truck. The old truck was evaluated using a literature study, interviews, observations, injury statistics and benchmarking, as part of the HTO analysis. The analyses showed that the driver often stood on the rear part of the platform with the heels outside the platform, making them vulnerable to injury. The injury statistics also showed that drivers of powered pallet trucks had more heel injuries than drivers of other truck types. There were two reasons for this. The steering arm was slightly too long, and the vibration damping was better the further back the drivers stood on the platform. This study led to redesign of the steering arm and platform suspension in the new truck generation. The combination of the HTO concept and the interaction framework supported the analysis in identifying relationships that otherwise would not have been obvious.

Place, publisher, year, edition, pages
Springer, 2019
Series
Advances in Intelligent Systems and Computing, ISSN 2194-5357 ; 821
Keywords
Folding platform, Pallet truck, Product design
National Category
Medical and Health Sciences
Identifiers
urn:nbn:se:kth:diva-233647 (URN)10.1007/978-3-319-96080-7_58 (DOI)2-s2.0-85051720660 (Scopus ID)9783319960791 (ISBN)
Conference
20th Congress of the International Ergonomics Association, IEA 2018, Florence, Italy, 26 August 2018 through 30 August 2018
Note

QC 20180828

Available from: 2018-08-28 Created: 2018-08-28 Last updated: 2018-08-28Bibliographically approved
Yang, L., Lu, K., Forsman, M., Lindecrantz, K., Seoane, F., Ekblom, Ö. & Eklund, J. (2019). Evaluation of physiological workload assessment methods using heart rate and accelerometry for a smart wearable system. Ergonomics, 62(5), 694-705
Open this publication in new window or tab >>Evaluation of physiological workload assessment methods using heart rate and accelerometry for a smart wearable system
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2019 (English)In: Ergonomics, ISSN 0014-0139, E-ISSN 1366-5847, Vol. 62, no 5, p. 694-705Article in journal (Refereed) Published
Abstract [en]

Work metabolism (WM) can be accurately estimated by oxygen consumption (VO2), which is commonly assessed by heart rate (HR) in field studies. However, the VO2–HR relationship is influenced by individual capacity and activity characteristics. The purpose of this study was to evaluate three models for estimating WM compared with indirect calorimetry, during simulated work activities. The techniques were: the HR-Flex model; HR branched model, combining HR with hip-worn accelerometers (ACC); and HR + arm-leg ACC model, combining HR with wrist- and thigh-worn ACC. Twelve participants performed five simulated work activities and three submaximal tests. The HR + arm-leg ACC model had the overall best performance with limits of agreement (LoA) of −3.94 and 2.00 mL/min/kg, while the HR-Flex model had −5.01 and 5.36 mL/min/kg and the branched model, −6.71 and 1.52 mL/min/kg. In conclusion, the HR + arm-leg ACC model should, when feasible, be preferred in wearable systems for WM estimation.

Keywords
Heart rate, work metabolism, motion sensing, wearable sensors, risk assessment, estimation models
National Category
Medical Engineering
Identifiers
urn:nbn:se:kth:diva-239148 (URN)10.1080/00140139.2019.1566579 (DOI)000468779800007 ()30806164 (PubMedID)2-s2.0-85062366366 (Scopus ID)
Funder
AFA Insurance, 150039
Note

QC 20190218

Available from: 2018-11-16 Created: 2018-11-16 Last updated: 2019-11-12Bibliographically approved
Eklund, J. (2019). Observation Methods in the Context of Interactive Research. In: 20th Congress of the International Ergonomics Association, IEA 2018: . Paper presented at 20th Congress of the International Ergonomics Association, IEA 2018, Florence, Italy, 26 August 2018 through 30 August 2018 (pp. 1845-1849). Springer, 824
Open this publication in new window or tab >>Observation Methods in the Context of Interactive Research
2019 (English)In: 20th Congress of the International Ergonomics Association, IEA 2018, Springer, 2019, Vol. 824, p. 1845-1849Conference paper, Published paper (Refereed)
Abstract [en]

An interactive research approach was applied in an evaluation of a potential organizational change for mail carriers. Interviews and observations were performed. The results showed that specialization of mail carriers into either mail sorting or mail delivery would lead to more monotonous jobs. Observations showed that sorting mail in a new district takes substantially more time than in a well-known district. An interactive research approach creates a participative collaboration between employers, union representatives and researchers within a project. This influences the choice, planning and execution of methods, of which observation is one. Through the interactive discussions, the planning of how, who, when and where to perform the observations can be improved. This contributes to creating better opportunities to obtain valid results. The use of video recordings enables joint analysis, which contributes to higher acceptance of outcomes and results. The overall conclusion is that the combination of an interactive approach and observation methods is a way to improve both methodological validity and higher validity of the results in addition to higher acceptance of the results and subsequent decisions.

Place, publisher, year, edition, pages
Springer, 2019
Series
Advances in Intelligent Systems and Computing, ISSN 2194-5357 ; 824
Keywords
Change readiness, Partnership, Video recordings
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:kth:diva-234086 (URN)10.1007/978-3-319-96071-5_192 (DOI)000473061800181 ()2-s2.0-85052330473 (Scopus ID)9783319960708 (ISBN)
Conference
20th Congress of the International Ergonomics Association, IEA 2018, Florence, Italy, 26 August 2018 through 30 August 2018
Note

QC 20180905

Available from: 2018-09-05 Created: 2018-09-05 Last updated: 2019-07-29Bibliographically approved
Rose, L. M., Eklund, J. & Nord Nilsson, L. (2019). RAMP – A comprehensive MSD risk management tool. In: 20th Congress of the International Ergonomics Association, IEA 2018: . Paper presented at 20th Congress of the International Ergonomics Association, IEA 2018, Florence, Italy, 26 August 2018 through 30 August 2018 (pp. 537-546). Springer, 820
Open this publication in new window or tab >>RAMP – A comprehensive MSD risk management tool
2019 (English)In: 20th Congress of the International Ergonomics Association, IEA 2018, Springer, 2019, Vol. 820, p. 537-546Conference paper, Published paper (Refereed)
Abstract [en]

The objective of this paper is to describe the development, dissemination and preliminary effects of the use of a new musculoskeletal disorder (MSD) risk management tool for manual handling, RAMP (Risk Assessment and Management tool for manual handling Proactively). RAMP is research based and developed in close collaboration between researchers and practitioners with a participative iterative methodology. A broad strategy is used for the dissemination, including the use of professional networks, conferences, a specially developed homepage, and Massive Open Online Courses which also provide training on the tool use. The tool has been spread widely to about 45 countries since the release 2017. E.g. Scania CV uses RAMP as its global standard method for managing MSD risks at logistics and machining departments. Among the preliminary effects results show that at one department risk reduction measures had been taken for more than 2/3 of the work stations with assessments signalling elevated risk levels after 1.5 years. Further studies on RAMP are discussed. It is concluded that the development and the dissemination of RAMP can be seen as successful. Preliminary reports on the tool use effects indicate that the RAMP tool supports the MSD risk management process in the work to reduce MDS risks at workplaces.

Place, publisher, year, edition, pages
Springer, 2019
Series
Advances in Intelligent Systems and Computing, ISSN 2194-5357 ; 820
Keywords
Manual handling, Observation method, Risk management
National Category
Other Engineering and Technologies
Identifiers
urn:nbn:se:kth:diva-233653 (URN)10.1007/978-3-319-96083-8_70 (DOI)2-s2.0-85051808831 (Scopus ID)9783319960821 (ISBN)
Conference
20th Congress of the International Ergonomics Association, IEA 2018, Florence, Italy, 26 August 2018 through 30 August 2018
Note

QC 20180828

Available from: 2018-08-28 Created: 2018-08-28 Last updated: 2018-08-28Bibliographically approved
Eklund, J. & Forsman, M. (2019). Smart work clothes give better health - Through improved work technique, work organization and production technology. In: 20th Congress of the International Ergonomics Association, IEA 2018: . Paper presented at 20th Congress of the International Ergonomics Association, IEA 2018, Florence, Italy, 26 August 2018 through 30 August 2018 (pp. 515-519). Springer, 820
Open this publication in new window or tab >>Smart work clothes give better health - Through improved work technique, work organization and production technology
2019 (English)In: 20th Congress of the International Ergonomics Association, IEA 2018, Springer, 2019, Vol. 820, p. 515-519Conference paper, Published paper (Refereed)
Abstract [en]

Musculoskeletal disorders (MSDs) constitute a major health problem for employees, and the economic consequences are substantial for the individuals, companies and the society. The ageing population creates a need for jobs to be sustainable so that employees can stay healthy and work longer. Prevention of MSD risks therefore needs to become more efficient, and more effective tools are thus needed for risk management. The use of smart work clothes is a way to automate data collection instead of manual observation. The aim of this paper is to describe a new smart work clothes system that is under development, and to discuss future opportunities using new and smart technology for prevention of work injuries. The system consists of a garment with textile sensors woven into the fabric for sensing heart rate and breathing. Tight and elastic first layer work wear is the basis for these sensors, and there are also pockets for inertial measurement units in order to measure movements and postures. The measurement data are sent wireless to a tablet or a mobile telephone for analysis. Several employees can be followed for a representative time period in order to assess a particular job and its workplace. Secondly, the system may be used for individuals to practice their work technique. The system also gives relevant information to a coach who can give feedback to the employees of how to improve their work technique. Thirdly, the data analysis may also give information to production engineers and managers regarding the risks. The information will support decisions on the type of actions needed, the body parts that are critical and the emergency of taking action.

Place, publisher, year, edition, pages
Springer, 2019
Series
Advances in Intelligent Systems and Computing, ISSN 2194-5357 ; 820
Keywords
Observation methods, Prevention, Wearables
National Category
Other Engineering and Technologies not elsewhere specified
Identifiers
urn:nbn:se:kth:diva-233649 (URN)10.1007/978-3-319-96083-8_67 (DOI)2-s2.0-85051786651 (Scopus ID)9783319960821 (ISBN)
Conference
20th Congress of the International Ergonomics Association, IEA 2018, Florence, Italy, 26 August 2018 through 30 August 2018
Note

QC 20180828

Available from: 2018-08-28 Created: 2018-08-28 Last updated: 2018-08-28Bibliographically approved
Yang, L., Abtahi, F., Eklund, J., Hanson, L., Lindecrantz, K., Forsman, M. & Carl, L. (2019). Smart workwear system with real-time vibrotactile feedback for improving postural behaviour in industry. In: From research to evidence based sustainable interventions and practices: Book of Abstracts: . Paper presented at the 10th International Scientific Conference on the Prevention of Work-Related Musculoskeletal Disorders (PREMUS) (pp. 160). Bologna, Italy
Open this publication in new window or tab >>Smart workwear system with real-time vibrotactile feedback for improving postural behaviour in industry
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2019 (English)In: From research to evidence based sustainable interventions and practices: Book of Abstracts, Bologna, Italy, 2019, p. 160-Conference paper, Oral presentation with published abstract (Refereed)
Place, publisher, year, edition, pages
Bologna, Italy: , 2019
National Category
Occupational Health and Environmental Health Medical Ergonomics
Research subject
Technology and Health
Identifiers
urn:nbn:se:kth:diva-262052 (URN)
Conference
the 10th International Scientific Conference on the Prevention of Work-Related Musculoskeletal Disorders (PREMUS)
Note

QC 20191111

Available from: 2019-10-14 Created: 2019-10-14 Last updated: 2019-11-11Bibliographically approved
Yang, L., Lu, K., Abtahi, F., Lindecrantz, K., Seoane, F., Forsman, M. & Eklund, J. (2017). A pilot study of using smart clothes for physicalworkload assessment. In: JOY AT WORK: . Paper presented at Conference Proceedings of Nordic Ergonomics Society 49th Annual Conference (pp. 169-170). Lund, Sweden
Open this publication in new window or tab >>A pilot study of using smart clothes for physicalworkload assessment
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2017 (English)In: JOY AT WORK, Lund, Sweden, 2017, p. 169-170Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Lund, Sweden: , 2017
Keywords
Energy expenditure estimation, pulmonary ventilation, heart rate.
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:kth:diva-227864 (URN)978-91-7753-152-4 (ISBN)
Conference
Conference Proceedings of Nordic Ergonomics Society 49th Annual Conference
Note

QC 20180614

Available from: 2018-05-14 Created: 2018-05-14 Last updated: 2018-06-14Bibliographically approved
Rolfö, L., Eliasson, K. & Eklund, J. (2017). An activity-based flex office: Planning processes and outcomes. In: 48th Annual Conference of the Association of Canadian Ergonomists: 12th International Symposium on Human Factors in Organizational Design and Management. Paper presented at ACE-ODAM; Banff, Alberta, Canada, July 31-August 3, 2017 (pp. 330-338). Banff, Alberta, Canada
Open this publication in new window or tab >>An activity-based flex office: Planning processes and outcomes
2017 (English)In: 48th Annual Conference of the Association of Canadian Ergonomists: 12th International Symposium on Human Factors in Organizational Design and Management, Banff, Alberta, Canada, 2017, p. 330-338Conference paper, Published paper (Refereed)
Abstract [en]

This longitudinal case study addresses activities used in the planning process of a new activity based flex office (A-FO), and addresses results after the relocation. The results show that several activities were used to involve employees in the planning process. Employee satisfaction and perceived performance were rated in more positive terms after the relocation than before. The company’s process can be considered as a good example of planning and design processes.

Abstract [fr]

Cette étude de cas longitudinale porte sur les activités utilisées dans le processus de planification d'un nouveau bureau flexible basé sur les 'activités et aborde les résultats après le déménagement. Les résultats montrent que plusieurs activités ont été utilisées pour faire participer les employés au processus de planification. La satisfaction des employés et le rendement perçu ont été évalués comme étant plus positifs après le déménagement qu’avant ce dernier. On peut dire que le processus de l'entreprise reflète un bon exemple de planification et de processus de conception.

Place, publisher, year, edition, pages
Banff, Alberta, Canada: , 2017
Keywords
Activity-based office, design, employee involvement, satisfaction, perceived performance.
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:kth:diva-213024 (URN)
Conference
ACE-ODAM; Banff, Alberta, Canada, July 31-August 3, 2017
Projects
Projektering och planering av nya arbetsmiljöer
Funder
AFA Insurance, 130200
Note

QC 20170907

Available from: 2017-08-28 Created: 2017-08-28 Last updated: 2017-09-07Bibliographically approved
Abtahi, F., Forsman, M., Diaz-Olivazrez, J. A., Yang, L., Lu, K., Eklund, J., . . . Tiemann, C. (2017). Big Data & Wearable Sensors Ensuring Safety and Health @Work. In: GLOBAL HEALTH 2017, The Sixth International Conference on Global Health Challenges: . Paper presented at GLOBAL HEALTH 2017, The Sixth International Conference on Global Health Challenges.
Open this publication in new window or tab >>Big Data & Wearable Sensors Ensuring Safety and Health @Work
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2017 (English)In: GLOBAL HEALTH 2017, The Sixth International Conference on Global Health Challenges, 2017Conference paper, Published paper (Refereed)
Abstract [en]

—Work-related injuries and disorders constitute a major burden and cost for employers, society in general and workers in particular. We@Work is a project that aims to develop an integrated solution for promoting and supporting a safe and healthy working life by combining wearable technologies, Big Data analytics, ergonomics, and information and communication technologies. The We@Work solution aims to support the worker and employer to ensure a healthy working life through pervasive monitoring for early warnings, prompt detection of capacity-loss and accurate risk assessments at workplace as well as self-management of a healthy working life. A multiservice platform will allow unobtrusive data collection at workplaces. Big Data analytics will provide real-time information useful to prevent work injuries and support healthy working life

Keywords
-Preventive Occupational Healthcare; Ergonomics; Wellbeing at Work.
National Category
Medical Ergonomics Other Medical Engineering
Research subject
Medical Technology; Applied Medical Technology
Identifiers
urn:nbn:se:kth:diva-225652 (URN)978-1-61208-604-0 (ISBN)
Conference
GLOBAL HEALTH 2017, The Sixth International Conference on Global Health Challenges
Note

QC 20180416

Available from: 2018-04-06 Created: 2018-04-06 Last updated: 2018-04-16Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-5338-0586

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