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Usability of an Intelligent Sit-Stand Desk in Office Teleworkers.

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Title: Usability of an Intelligent Sit-Stand Desk in Office Teleworkers.
Authors: Koubaa, Nesrine (AUTHOR), Walha, Roua (AUTHOR), Brière, Simon (AUTHOR), Hamel, Mathieu (AUTHOR), Léonard, Guillaume (AUTHOR), Boissy, Patrick (AUTHOR)
Source: International Journal of Human-Computer Interaction. Nov2024, Vol. 40 Issue 22, p7469-7480. 12p.
Subjects: Clerks, Client satisfaction, White collar workers, User experience, Semi-structured interviews
Abstract: Office work often results in long bouts of time spent sitting without moving, accumulating prolonged static posture (PSP), which might cause musculoskeletal discomfort (MSD). Although sit-stand desks (SSD) allow posture changes, employees do not use them sustainably. In order to automate posture adjustments, an intelligent SSD with an interactive system (iSSD) was created. This study assessed the impact of the iSSD on postural hygiene and explored the user experience. Ten office employees working remotely from home (teleworkers) used the iSSD with (phase B) and without (phase A2) automation. The usage data of the iSSD was measured daily by sensors. We assessed MSDs and working conditions through questionnaires. Semi-structured interviews evaluated participants' satisfaction. Results showed a 29% decrease in sitting time and absent PSP for phase B. Subsequently, in phase A2, the sitting time returned close to baseline values. Questionnaires reported MSD alleviation and stability of working conditions. Interviews confirmed automation's benefits for maintaining postural hygiene. Findings suggest that an interactive system can facilitate SSD adoption and promote postural hygiene at the office. HIGHLIGHTS: We added an interactive system to a usual sit-stand desk to force posture change. We tested iSSD usability by teleworkers through data tracked by the system sensors. We conducted qualitative interviews to assess participants' satisfaction with iSSD. Using an iSSD could help office workers reduce prolonged static postures. Participants appreciated automated posture changes imposed by the interactive system. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Usability of an Intelligent Sit-Stand Desk in Office Teleworkers.
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  Data: <searchLink fieldCode="AR" term="%22Koubaa%2C+Nesrine%22">Koubaa, Nesrine</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Walha%2C+Roua%22">Walha, Roua</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Brière%2C+Simon%22">Brière, Simon</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hamel%2C+Mathieu%22">Hamel, Mathieu</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Léonard%2C+Guillaume%22">Léonard, Guillaume</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Boissy%2C+Patrick%22">Boissy, Patrick</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Human-Computer+Interaction%22">International Journal of Human-Computer Interaction</searchLink>. Nov2024, Vol. 40 Issue 22, p7469-7480. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Clerks%22">Clerks</searchLink><br /><searchLink fieldCode="DE" term="%22Client+satisfaction%22">Client satisfaction</searchLink><br /><searchLink fieldCode="DE" term="%22White+collar+workers%22">White collar workers</searchLink><br /><searchLink fieldCode="DE" term="%22User+experience%22">User experience</searchLink><br /><searchLink fieldCode="DE" term="%22Semi-structured+interviews%22">Semi-structured interviews</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Office work often results in long bouts of time spent sitting without moving, accumulating prolonged static posture (PSP), which might cause musculoskeletal discomfort (MSD). Although sit-stand desks (SSD) allow posture changes, employees do not use them sustainably. In order to automate posture adjustments, an intelligent SSD with an interactive system (iSSD) was created. This study assessed the impact of the iSSD on postural hygiene and explored the user experience. Ten office employees working remotely from home (teleworkers) used the iSSD with (phase B) and without (phase A2) automation. The usage data of the iSSD was measured daily by sensors. We assessed MSDs and working conditions through questionnaires. Semi-structured interviews evaluated participants' satisfaction. Results showed a 29% decrease in sitting time and absent PSP for phase B. Subsequently, in phase A2, the sitting time returned close to baseline values. Questionnaires reported MSD alleviation and stability of working conditions. Interviews confirmed automation's benefits for maintaining postural hygiene. Findings suggest that an interactive system can facilitate SSD adoption and promote postural hygiene at the office. HIGHLIGHTS: We added an interactive system to a usual sit-stand desk to force posture change. We tested iSSD usability by teleworkers through data tracked by the system sensors. We conducted qualitative interviews to assess participants' satisfaction with iSSD. Using an iSSD could help office workers reduce prolonged static postures. Participants appreciated automated posture changes imposed by the interactive system. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=180919793
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        Value: 10.1080/10447318.2023.2266245
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              Text: Nov2024
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