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If we take the wayback machine to the time before there was Resilience Engineering, we find Cognitive Systems Engineering. Central to CSE is the concept of Joint Cognitive Systems - human/machine teaming based on principles of shared cognitive efforts, not simply dividing the work to be done across humans and machines. This thought-provoking and interactive workshop will give you a whole new lens to think about your work and the problems you face working on and with highly automated systems using a combination of lecture, discussion and hands on exercises.
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The video titled "Workshop: Fundamentals of Joint Cognitive Systems" presented by Laura Maguire and John Allspaw at RubyConf 2021 focuses on the principles of Joint Cognitive Systems (JCS), which emphasize human/machine collaboration in environments with high automation. The workshop highlights how shared cognitive efforts can enhance the way software engineers think about their roles and interactions with complex systems. **Key Points Discussed:** - **Introduction to Joint Cognitive Systems:** The workshop introduces the concept of JCS, which relates to how humans and machines collaborate more effectively rather than simply distributing tasks. - **Importance of Cognitive Work:** All work is fundamentally cognitive; understanding this allows professionals to improve how they design and deploy technology. The speakers argue that automation can create additional risks if not carefully considered. - **Distributed Work Across Agents:** The discussion emphasizes that work is increasingly shared between humans and machines, necessitating effective communication and collaboration between both parties. - **Real-World Examples:** The presenters utilize historical examples from high-risk industries, such as the B-17 bomber pilots and the Three Mile Island incident, to illustrate how design failures can impact human performance and decision-making. - **Cognitive Work in Software Engineering:** Engineers need to understand the nuanced interactions between themselves and the tools they use; cognitive workload can be affected greatly by alert systems and how they communicate information. - **Enhancing Automation Design:** There are characteristics that make machines better collaborators through improved design, including cognitive aids that enhance human judgment rather than hinder it. - **Joint Activities in Complex Systems:** The presenters explain how understanding the dynamics of teamwork and coordination among multiple agents (both machines and humans) is critical for successful outcomes in high-pressure environments. - **Case Studies and Practical Exercises:** Participants engage in hands-on exercises to explore cognitive work, alerting systems, and the implications of shared cognitive responsibilities in real-time scenarios. **Conclusions:** The workshop encourages participants to: - Reflect on their own practices and the role of cognitive work in their environment. - Embrace the concept of joint cognitive systems to enhance team dynamics and system design. - Recognize the importance of knowledge sharing and the implicit cognitive load in collaborative tasks, especially when coordinating responses to incidents. Overall, the workshop aims to shift perspectives in the software engineering community towards a more integrated understanding of human and machine interactions for greater resilience and effectiveness.
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