PRE2019 3 Group6: Difference between revisions

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=Approach, milestones and delivarables=
=Approach, milestones and delivarables=
==Approach==
==Approach==
Our approach is that we start gathering information regarding our topic, the state of the art and the relevance of our research. We specify our research using data we gather from a survey among people who use modular chairs daily. Using the survey data, we will determine which part of the chair is most often adjusted. Knowing this we will research how we can automate this adjustment, what the objective best position is, and what people feel the best position is. Lastly, if possible, we will make a prototype of the automatic seat adjuster, test whether is actually improves the posture, and get to know what people think of it.
Our approach is that we start gathering information regarding our topic, the state of the art and the relevance of our research. We specify our research using data we gather from a survey among people who use modular chairs daily. Using the survey data, we will determine which part of the chair is most often adjusted. Knowing this we will research how we can automate this adjustment, what the objective best position is, and what people feel the best position is. Lastly, we will make a prototype of the automatic seat adjuster, test whether is actually improves the posture, and get to know what people think of it.


==Milestones==
==Milestones==

Revision as of 10:02, 11 February 2020

Introduction

Problem statement and objectives

Problem statement

Objectives

Approach, milestones and delivarables

Approach

Our approach is that we start gathering information regarding our topic, the state of the art and the relevance of our research. We specify our research using data we gather from a survey among people who use modular chairs daily. Using the survey data, we will determine which part of the chair is most often adjusted. Knowing this we will research how we can automate this adjustment, what the objective best position is, and what people feel the best position is. Lastly, we will make a prototype of the automatic seat adjuster, test whether is actually improves the posture, and get to know what people think of it.

Milestones

  • Evaluation of the best working posture.
  • Made and held the survey
  • Determined the most relevant adjustable part of a chair
  • Determined the sensors that are needed to detect a person’s working posture.
  • Made a prototype of the most relevant adjustable part
  • Full test evaluation of the prototype
  • User evaluation of the prototype

Deliverables

  • This Wiki page containing all our research and findings.
  • A prototype if this is possible.
  • A presentation must be given at the end of the project


Planning

User and user requirements

Users

Primary users: -office workers -students

Secondary users: -Companies that have the smart workplace installed

Tertiary users: -Technicians for installation and maintenance -Colleagues of the office workers

User requirements

The primary users need a comfortable and easy to use workspace that helps them to be more productive as well as help them maintain a healthy posture. The companies need an easy to install, cost friendly and reliable workplace that works universal for each employee. For the technicians it has to be easy to maintain and for the colleagues it should hinder their work.

State of the Art

Posture effect on performance

Posture plays an important role in performance. Poor posture can lead to worse task performance [1] while also adding stress to the spine and balance muscles [2].

Posture is also a tell-tale sign of engagement, it is even possible to estimate engagement purely on posture[3].

Currently it is possible to detect sitting posture using a regular office chair equipped with force transducers[4]. It is also possible to detect posture using mobile devices, which is more accurate but also more intrusive[5].

Using a posture assistance device, it is possible to correct posture and thereby improve performance, even in a dynamic environment, such as surgery [6].

In this paper research two groups were studied, symptomatic and asymptomatic office workers. All subjects demonstrated an 10% increase in forward head posture from their relaxed sitting postures with the computer display. No substantial evidence for posture changing over a working day was found. [7].

The high complained of musculoskeletal disorders is due to awkward postures, unsuitable workstation and lack of knowledge related to the areas to apply in everyday routine and it shows that working postures have a direct contribution on musculoskeletal disorders complained by the office workers in Putrajaya. [8].

Given the association between RULA (rapid upper limb assessment) score and the prevalence of the problems, reducing RULA score by designing ergonomic workstation may reduce the prevalence of WMSDs (work-related musculoskeletal disorders) among the workers. [9].

Computer use increases risk of developing musculoskeletal disorders. Such an increase is mediated by ergonomic factors such as mouse use, remaining seated for prolonged periods, adoption of inadequate or uncomfortable postures, performing certain PC tasks, and psychosocial factors. [10].


Effects of light on the workplace

Color plays an important role in perception of indoor spaces. A change in color on the walls alone can improve the perception of a room. [11]

The color of the lighting can also play a role. Variable light can have a positive effect on the subjective mood of people in a room. [12]

Not only the mood can be affected however, modern LED lights [13] and blue enriched white light [14] can have a positive impact on the (subjective) alertness and performance of cognitive tasks.

This does not have to come from conventional light sources, but can also come from computer screens. [15]

The color of the light doesn’t seem to have an effect on the perceived room temperature however. [16]

Effects of music during work or studying

Can preference for background music mediate the irrelevant sound effect?[17]

Music Moves Brain to Pay Attention.[18]

Exposure to music and cognitive performance: tests of children and adults[19]

The Relative and Perceived Impact of Irrelevant Speech, Vocal Music and Non-vocal Music on Working Memory[20]

The Effect of Listening to Music On Concentration and Academic Performance of the Student: Cross-Sectional Study On Medical Undergraduate Students.[21]

Group members

David van Son 1005864
Susanne Louvenberg 1238843
Jur Janssen 1247069
Bas Ohlen 0963529
Jeroen Meijs 1008703

Who is doing what

Week 1

Name Time spent Break-down
David 11 h Introductory lecture (2h), Brainstorm (1h), Studied papers [1-6] (4h), Wrote summary (1h), Group meeting (2h), formatting wiki page (1h)
Jur 10 h Introductory lecture (2h), Group meeting (2h), Studied papers [7-10] and made summary (4h), Brainstorm about possible topics (1h), Approach/Milestones/Deliverables (1h)
Jeroen 9 h Introductory lecture (2h), Group meeting+brainstorm (2.5h), Studied papers(4h), made user requirements(0.5h)
Bas 9 h Introductory lecture (2h), Group meeting (2h), Brainstorm (1h), Studied papers and update wiki(4h),
Susanne h

Week 2

Name Time spent Break-down
David h
Jur h
Jeroen h
Bas h
Susanne h

Week 3

Name Time spent Break-down
David h
Jur h
Jeroen h
Bas h
Susanne h

Week 4

Name Time spent Break-down
David h
Jur h
Jeroen h
Bas h
Susanne h

Week 5

Name Time spent Break-down
David h
Jur h
Jeroen h
Bas h
Susanne h

Week 6

Name Time spent Break-down
David h
Jur h
Jeroen h
Bas h
Susanne h

Week 7

Name Time spent Break-down
David h
Jur h
Jeroen h
Bas h
Susanne h

Week 8

Name Time spent Break-down
David h
Jur h
Jeroen h
Bas h
Susanne h

References

  1. Straker, L. M., Pollock, C. M., & Mangharam, J. E. (1997). The effect of shoulder posture on performance, discomfort and muscle fatigue whilst working on a visual display unit. International Journal of Industrial Ergonomics, 20(1), 1-10. doi:10.1016/S0169-8141(96)00027-3
  2. Sahu, M., Alfred Sunny, K., Kumar, M. W., Baburao, G., & Gnanasaravanan, S. (2019). Effect of work postures on the musculoskeletal stresses on computer aided designers and office staff working on computer in india. International Journal of Scientific and Technology Research, 8(11), 1120-1123. Retrieved from www.scopus.com
  3. Nomura, K., Iwata, M., Augereau, O., & Kise, K. (2019). Estimation of student’s engagement based on the posture. Paper presented at the UbiComp/ISWC 2019- - Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 164-167. doi:10.1145/3341162.3343767 Retrieved from www.scopus.com
  4. Schrempf, A., Schossleitner, G., Minarik, T., Haller, M., & Gross, S. (2011). PostureCare - towards a novel system for posture monitoring and guidance. Paper presented at the IFAC Proceedings Volumes (IFAC-PapersOnline), , 44(1 PART 1) 593-598. doi:10.3182/20110828-6-IT-1002.02987 Retrieved from www.scopus.com
  5. Estrada, J. E., & Vea, L. A. (2016). Real-time human sitting posture detection using mobile devices. Paper presented at the Proceedings - 2016 IEEE Region 10 Symposium, TENSYMP 2016, 140-144. doi:10.1109/TENCONSpring.2016.7519393 Retrieved from www.scopus.com
  6. Karlovic, K., Pfeffer, S., Maier, T., Heidingsfeld, M., Ederer, M., & Sawodny, O. (2015). Effects on performance when using a posture assistance device – results of a usability evaluation in laboratory setting. Procedia Manufacturing, 3, 1395-1402. doi:10.1016/j.promfg.2015.07.301
  7. Szeto, G.P.Y., Straker, L., Raine, S. (2002). A field comparison of neck and shoulder postures in symptomatic and asymptomatic office workers
  8. Mansor, C.H.C, Zakaria, S.E., Dawal, S.Z.M. (2013). Investigation On Working Postures And Musculoskeletal Disorders Among Office Workers In Putrajaya
  9. Choobineh, A., Tabatabaei, S.H., Tozihian, M., Ghadami, F. (2007). Musculoskeletal problems among workers of an Iranian communication company
  10. Ortiz-Hernández, L., Tamez-González, S., Martínez-Alcántara, S., Méndez-Ramírez, I. (2003). Computer Use Increases the Risk of Musculoskeletal Disorders Among Newspaper Office Workers
  11. K.Yildirim, A.Akalin-Baskaya, M.L.Hidayetoglu (2007). Effects of indoor color on mood and cognitive performance
  12. Georg Hoffmann, Veronika Gufler, Andrea Griesmacher, Christian Bartenbach, Markus Canazei, Siegmund Staggl, Wolfgang Schobersberger (2008). Effects of variable lighting intensities and colour temperatures on sulphatoxymelatonin and subjective mood in an experimental office workplace
  13. Breanne K .Hawes, Tad T. Brunyé, Caroline R. Mahoney, John M. Sullivan, Christian D. Aall (2012). Effects of four workplace lighting technologies on perception, cognition and affective state
  14. Antoine U Viola, Lynette M James, Luc JM Schlangen, Derk-Jan Dijk (2008). Blue-enriched white light in the workplace improves self-reported alertness, performance and sleep quality
  15. Chiuhsiang Joe LIN, Wen-Yang FENG, Chin-Jung CHAO, Feng-Yi TSENG (2008). Effects of VDT Workstation Lighting Conditions on Operator Visual Workload
  16. Rupak R Baniya, Eino Tetri, Jukka Virtanen, Liisa Halonen (2016). The effect of correlated colour temperature of lighting on thermal sensation and thermal comfort in a simulated indoor workplace
  17. Nick Perham, Joanne Vizard (2011). Can preference for background music mediate the irrelevant sound effect?.
  18. Baker, Mitzi.(2007) “Music Moves Brain to Pay Attention.” Stanford School of Medicine. Stanford School of Medicine
  19. E.G.Schellenberg,T.Nakata,P.G.Hunter,S.Tamoto(2007). Exposure to music and cognitive performance:tests of children and adults
  20. Thomas Alley, Marcie Greene (2008).The Relative and Perceived Impact of Irrelevant Speech, Vocal Music and Non-vocal Music on Working Memory
  21. N.Kumar, M. Wajidi, Y. Chian, Vishroothi, S.Ravandra, A. Aithal (2016)