Task Transition Scheduling for Data-Adaptable Systems

2017 ◽  
Vol 16 (4) ◽  
pp. 1-28 ◽  
Author(s):  
Nathan Sandoval ◽  
Casey Mackin ◽  
Sean Whitsitt ◽  
Vijay Shankar Gopinath ◽  
Sachidanand Mahadevan ◽  
...  
Author(s):  
Corina Nüesch ◽  
Jan-Niklas Kreppke ◽  
Annegret Mündermann ◽  
Lars Donath

Employing dynamic office chairs might increase the physical (micro-) activity during prolonged office sitting. We investigated whether a dynamic BioSwing® chair increases chair sway and alters trunk muscle activation. Twenty-six healthy young adults performed four office tasks (reading, calling, typing, hand writing) and transitions between these tasks while sitting on a dynamic and on a static office chair. For all task-transitions, chair sway was higher in the dynamic condition (p < 0.05). Muscle activation changes were small with lower mean activity of the left obliquus internus during hand writing (p = 0.07), lower mean activity of the right erector spinae during the task-transition calling to hand writing (p = 0.036), and higher mean activity of the left erector spinae during the task-transition reading to calling (p = 0.07) on the dynamic chair. These results indicate that an increased BioSwing® chair sway only selectively alters trunk muscle activation. Adjustments of chair properties (i.e., swinging elements, foot positioning) are recommended.


2020 ◽  
Vol 17 (2) ◽  
pp. 173-200 ◽  
Author(s):  
Daehyun Moon ◽  
John Peter Krahel

ABSTRACT We propose a methodology for Continuous Risk Monitoring and Assessment (CRMA). As a new component of Continuous Assurance (CA), CRMA converts static CA systems into dynamic and adaptable systems that respond to changes in audit risks from client business risks, thereby improving the relevance and robustness of CA systems to changes in client business risks and possible business failures. The present methodology proposes to develop relevant leading and lagging indicators to monitor and assess a client's business risks and recognize emerging business risks or harmful impacts of materialized business risks in near real time. To illustrate, we develop a lagging indicator of reputational damage measured from real time postings published in social media websites. We present two cases where the present lagging indicator is measured using public Twitter messages (“tweets”) and used to assess the potential reputational damage to two large corporations.


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