A task-based taxonomy of erroneous human behavior. Issue 108 (December 2017)
- Record Type:
- Journal Article
- Title:
- A task-based taxonomy of erroneous human behavior. Issue 108 (December 2017)
- Main Title:
- A task-based taxonomy of erroneous human behavior
- Authors:
- Bolton, Matthew L.
- Abstract:
- Highlights: Erroneous human behaviors often contribute to complex system failure. Leading erroneous behaviors taxonomies use incompatible phenotypes and genotypes. Our new taxonomy classifies erroneous acts based on where they diverge from tasks. We identify the different types of errors that emerge from this taxonomy. We show how our taxonomy is compatible with the leading classifications. Abstract: Unexpected, erroneous human interactions often contribute to failures in complex systems. Human factors engineers and researchers have developed taxonomies that allow engineers, designers, and practitioners to think about and model erroneous behavior to improve the safety of human-interactive systems. However, the two leading erroneous behavior taxonomies are based on incompatible phenomenological and genotypical perspectives. Further, neither of these are formulated in terms of task analytic methods, analysis and modeling techniques human factors engineers use for documenting how humans normatively achieve goals when interacting with a system. In this work, we introduce a new erroneous human behavior taxonomy based on where and how human behavior diverges from task analytic models of human behavior. By describing where a human diverges from a normative task, and by identifying what information the human failed to properly attend to that produced the divergence, this taxonomy seeks to unify the phenomenological and genotypical perspectives. We describe the theory behind thisHighlights: Erroneous human behaviors often contribute to complex system failure. Leading erroneous behaviors taxonomies use incompatible phenotypes and genotypes. Our new taxonomy classifies erroneous acts based on where they diverge from tasks. We identify the different types of errors that emerge from this taxonomy. We show how our taxonomy is compatible with the leading classifications. Abstract: Unexpected, erroneous human interactions often contribute to failures in complex systems. Human factors engineers and researchers have developed taxonomies that allow engineers, designers, and practitioners to think about and model erroneous behavior to improve the safety of human-interactive systems. However, the two leading erroneous behavior taxonomies are based on incompatible phenomenological and genotypical perspectives. Further, neither of these are formulated in terms of task analytic methods, analysis and modeling techniques human factors engineers use for documenting how humans normatively achieve goals when interacting with a system. In this work, we introduce a new erroneous human behavior taxonomy based on where and how human behavior diverges from task analytic models of human behavior. By describing where a human diverges from a normative task, and by identifying what information the human failed to properly attend to that produced the divergence, this taxonomy seeks to unify the phenomenological and genotypical perspectives. We describe the theory behind this taxonomy and the different erroneous behavior classifications that result from it. We then show how it is compatible with the leading phenomenological and genotypical taxonomies. Finally, we discuss the implications of this new taxonomy and avenues of future research. … (more)
- Is Part Of:
- International journal of human-computer studies. Issue 108(2017)
- Journal:
- International journal of human-computer studies
- Issue:
- Issue 108(2017)
- Issue Display:
- Volume 108, Issue 108 (2017)
- Year:
- 2017
- Volume:
- 108
- Issue:
- 108
- Issue Sort Value:
- 2017-0108-0108-0000
- Page Start:
- 105
- Page End:
- 121
- Publication Date:
- 2017-12
- Subjects:
- Human error -- Erroneous human behavior -- Task analysis -- System safety -- Formal methods
Human-machine systems -- Periodicals
Systems engineering -- Periodicals
Human engineering -- Periodicals
Human engineering
Human-machine systems
Systems engineering
Periodicals
Electronic journals
004.019 - Journal URLs:
- http://www.sciencedirect.com/science/journal/10715819 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ijhcs.2017.06.006 ↗
- Languages:
- English
- ISSNs:
- 1071-5819
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.288100
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 4655.xml