TY - GEN
T1 - Design of the Future Workstation
T2 - AHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020
AU - Shin, Dosun
AU - Buman, Matthew
AU - Turaga, Pavan
AU - Kidane, Assegid
AU - Ingalls, Todd
N1 - Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - Sedentary behavior (i.e., waking behaviors in the seated/lying position at low energy expenditure), or sitting, has emerged as a potential risk factor for numerous chronic diseases and all-cause mortality during the last decade. Working adults accumulate large number of sitting hours at work and interventions have been developed to reduce sitting in the workplace. An interdisciplinary university research team was created to develop new designs for instrumented sit-stand workstations: embedded sensors that will be used to assess postural stability, sit-to-stand efficiency, as well as to facilitate “in-the-moment” prompts to increase standing behaviors. These features will be used for real-time, as well as summative feedback. Feedback techniques will include unobtrusive displays, light-modulation, and on-demand auditory feedback. The evaluation will include assessing the short-term and long-term effectiveness of the instrumented sit-stand workstations for objectively-measured workplace sitting, cardio-metabolic risk biomarkers, and work productivity.
AB - Sedentary behavior (i.e., waking behaviors in the seated/lying position at low energy expenditure), or sitting, has emerged as a potential risk factor for numerous chronic diseases and all-cause mortality during the last decade. Working adults accumulate large number of sitting hours at work and interventions have been developed to reduce sitting in the workplace. An interdisciplinary university research team was created to develop new designs for instrumented sit-stand workstations: embedded sensors that will be used to assess postural stability, sit-to-stand efficiency, as well as to facilitate “in-the-moment” prompts to increase standing behaviors. These features will be used for real-time, as well as summative feedback. Feedback techniques will include unobtrusive displays, light-modulation, and on-demand auditory feedback. The evaluation will include assessing the short-term and long-term effectiveness of the instrumented sit-stand workstations for objectively-measured workplace sitting, cardio-metabolic risk biomarkers, and work productivity.
KW - Health and solution
KW - Human-systems interaction
KW - Product design and prototyping
KW - Sensory feedback
UR - http://www.scopus.com/inward/record.url?scp=85088512557&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85088512557&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-51328-3_56
DO - 10.1007/978-3-030-51328-3_56
M3 - Conference contribution
AN - SCOPUS:85088512557
SN - 9783030513276
T3 - Advances in Intelligent Systems and Computing
SP - 407
EP - 413
BT - Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2020 Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing
A2 - Ahram, Tareq
PB - Springer
Y2 - 16 July 2020 through 20 July 2020
ER -