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Technological Development Has Changed The Nature Of Industrial Production So That It Is No Longer A Question Of Humans Working With A Machine, But Rather That A Joint Human Machine System Is Performing The Task. This Development, Which Started In The 1940s, Has Become Even More Pronounced With The Proliferation Of Computers And The Invasion Of Digital Technology In All Wakes Of Working Life. It May Appear That The Importance Of Human Work Has Been Reduced Compared To What Can Be Achieved By Intelligent Software Systems, But In Reality, The Opposite Is True: The More Complex A System, The More Vital The Human Operator's Task. The Conditions Have Changed, However, Whereas People Used To Be In Control Of Their Own Tasks, Today They Have Become Supervisors Of Tasks Which Are Shared Between Humans And Machines. A Considerable Effort Has Been Devoted To The Domain Of Administrative And Clerical Work And Has Led To The Establishment Of An Internationally Based Human-computer Interaction (hci) Community At Research And Application Levels. The Hci Community, However, Has Paid More Attention To Static Environments Where The Human Operator Is In Complete Control Of The Situation, Rather Than To Dynamic Environments Where Changes May Occur Independent Of Human Intervention And Actions. This Book's Basic Philosophy Is The Conviction That Human Operators Remain The Unchallenged Experts Even In The Worst Cases Where Their Working Conditions Have Been Impoverished By Senseless Automation. They Maintain This Advantage Due To Their Ability To Learn And Build Up A High Level Of Expertise -- A Foundation Of Operational Knowledge -- During Their Work. This Expertise Must Be Taken Into Account In The Development Of Efficient Human-machine Systems, In The Specification Of Training Requirements, And In The Identification Of Needs For Specific Computer Support To Human Actions. Supporting This Philosophy, This Volume deals With The Main Features Of Cognition In Dynamic Environments.
This book investigates how human expertise remains the critical factor in the performance of complex, dynamic human-machine systems despite the increasing prevalence of automation. The authors, a team of experts in cognitive engineering and human-computer interaction, argue that modern industrial environments have shifted from manual operation to supervisory control. They contend that rather than replacing human input, technological complexity necessitates a deeper understanding of how operators build and apply cognitive expertise to manage unpredictable, dynamic environments.
What You Will Find
Experts in the field of cognitive systems engineering recognize this work as a foundational text for understanding the limitations of static human-computer interaction models. Readers frequently note the academic density of the prose, which provides a rigorous theoretical basis for designing more resilient human-machine interfaces.
Page Count:
0
Publication Date:
2013-01-01
Publisher:
Taylor & Francis Group
ISBN-10:
0203773675
ISBN-13:
9780203773673
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