Measuring the Collective Allostatic Load

Teams are at the core of organizations and their success depends on multiple factors. When faced with stressful conditions on daily basis such as time pressure, rapidly unfolding events, high information processing demand, and severe consequences of wrong decisions, team members are exposed to "...

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Bibliographic Details
Main Authors: Davaslioglu, Kemal, Pokorny, Bob, Sagduyu, Yalin E., Molintas, Henrik, Soltani, Sohraab, Grossman, Rebecca, Bowers, Clint
Format: Conference Proceeding
Language:English
Subjects:
Allostatic load
Automation
Biomedical monitoring
collective allostatic load
communication patterns
Data visualization
Games
Heart rate variability
interventions
performance monitoring
physiological sensors
recommendations
Resilience
Sensors
stress
team performance
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Summary:Teams are at the core of organizations and their success depends on multiple factors. When faced with stressful conditions on daily basis such as time pressure, rapidly unfolding events, high information processing demand, and severe consequences of wrong decisions, team members are exposed to "wear and tear," termed as the Allostatic Load, that can diminish their performance and resilience as an individual and as a team. We present the Collective Allostatic Load Measures (CALM) system that collects, aggregates, and analyzes data collected from individuals to make assessments on team situation awareness, performance, and resilience. These assessments are accompanied with a set of recommendation and intervention strategies to alleviate the adverse effects of acute and chronic stressors and support situation awareness. CALM includes a set of commercial off-the-shelf (COTS) sensors to collect physiological responses of team members, a speech processing module, quantitative team performance metrics, a set of algorithms for data analysis, a mobile phone app for ambulatory data collection, and a web-based dashboard for visualization. We present several hypotheses based on physiological responses and team communication patterns, which are tested through a human subject experiment study. Our human subject experiment results do not show significant difference in physiological responses of good and poor performing teams, but they show that some team roles demonstrate significant cognitive stress indicators. We also identify specific patterns that distinguish good and poorly performing teams and discuss the dependency of these patterns on the task and team characteristics.
ISSN:2379-1675
DOI:10.1109/COGSIMA.2019.8724197