HFES2021: Modeling the Effects of Machine Rigidities on Joint Work Strategies
Katie Albert, a CSEL MS student, presented a lecture on October 5th at the
Human Factors and Ergonomics Society 65th International Annual Meeting in
Baltimore, MD. Katie’s paper is titled “Modeling the Effects of Machine
Rigidities on Joint Work Strategies” and is co-authored by Dr. Martijn IJtsma.
This presentation proposed representing the work domain as a network to
identify interdependencies that support opportunistic adaptation.
You can view the presentation slides here, and the paper’s
One of the challenges in designing resilient human-machine systems is that machine capabilities are
inherently rigid. A resilient joint cognitive system can anticipate and adapt to changing work demands effectively, but limitations of machines can make this adaptation constrained and less fluid. By identifying and accommodating for these rigidities in the design of human-machine system architectures, developers can build human-machine systems that support multiple contexts. This paper proposes a work-modeling approach for analyzing joint human-machine work strategies, focusing on identifying interdependencies that would support opportunistic adaptation and
reduce the risk of machine rigidity leading to brittle failures of a human-machine system. The approach is applied to a case study in space operations to demonstrate how interdependencies can be identified and evaluated. The results of this analysis provide early insight into how team adaptation and machine limitations can be systematically accounted for in system architecture design.
The HFES 65th International Annual Meeting was held in Baltimore, MD, October 4-7, 2021. The 66th International Annual Meeting will be held in Atlanta, Georgia, October 2022.
Albert, K., & IJtsma, M. (2021). Modeling the Effects of Machine Rigidities on
Joint Work Strategies. Human Factors and Ergonomics Society. Presented
10/6/2021 in Baltimore, Maryland, at the Human Factors and Ergonomics Society 65th Annual Meeting