Journal ArticleDOI
Task complexity: A review and conceptualization framework
Peng Liu,Zhizhong Li +1 more
TLDR
This study aims at providing a clear, systematic understanding of task complexity by reviewing and conceptualizing existing task complexity definitions and models from structuralist, resource requirement, and interaction viewpoints, and compared with other models.About:
This article is published in International Journal of Industrial Ergonomics.The article was published on 2012-11-01. It has received 270 citations till now. The article focuses on the topics: Task analysis & Task (project management).read more
Citations
More filters
Journal ArticleDOI
Task Complexity: Extending a Core Concept
TL;DR: Counting pathways in the task network provides an index of task complexity that incorporates insights from organization research but is more consistent with contemporary complexity science than prior approaches and better reflects the exponential nature of the phenomenon.
Journal ArticleDOI
What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research
Markus Langer,Daniel Oster,Timo Speith,Holger Hermanns,Lena Kästner,Eva Schmidt,Andreas Sesing,Kevin Baum +7 more
TL;DR: In this paper, the main classes of stakeholders calling for explainability of artificial systems and reviews their desiderata are discussed and a model that explicitly spells out the main concepts and relations necessary to consider and investigate when evaluating, adjusting, choosing, and developing explainability approaches that aim to satisfy stakeholders' desidersata.
Journal ArticleDOI
A systematic review of hybrid brain-computer interfaces: Taxonomy and usability perspectives.
TL;DR: This paper systematically reviewed and analyzed the current state-of-the-art hybrid BCI studies, and proposed a systematic taxonomy for classifying the types of hybrid BCIs with multiple taxonomic criteria, and exhaustively reviewed recent literature on usability of BCIs.
Book
The Measure of All Minds: Evaluating Natural and Artificial Intelligence
TL;DR: Using algorithmic information theory as a foundation, the book elaborates on the evaluation of perceptual, developmental, social, verbal and collective features and critically analyzes what the future of intelligence might look like.
Journal ArticleDOI
Evolving Trust in Robots: Specification Through Sequential and Comparative Meta-Analyses:
TL;DR: The present meta-analysis expands upon previous work and validates the overarching categories of trust antecedent (human- related, robot-related, and contextual), as well as identifying the significant individual precursors to trust within each category.
References
More filters
Journal ArticleDOI
The theory of planned behavior
TL;DR: Ajzen, 1985, 1987, this article reviewed the theory of planned behavior and some unresolved issues and concluded that the theory is well supported by empirical evidence and that intention to perform behaviors of different kinds can be predicted with high accuracy from attitudes toward the behavior, subjective norms, and perceived behavioral control; and these intentions, together with perceptions of behavioral control, account for considerable variance in actual behavior.
Journal ArticleDOI
The Framing of Decisions and the Psychology of Choice
Amos Tversky,Daniel Kahneman +1 more
TL;DR: The psychological principles that govern the perception of decision problems and the evaluation of probabilities and outcomes produce predictable shifts of preference when the same problem is framed in different ways.
Book
The practice of social research
TL;DR: This chapter discusses the construction of Inquiry, the science of inquiry, and the role of data in the design of research.
Book ChapterDOI
The Architecture of Complexity
TL;DR: A number of proposals have been advanced in recent years for the development of “general systems theory” which, abstracting from properties peculiar to physical, biological, or social systems, would be applicable to all of them.
Book
Engineering Psychology and Human Performance
TL;DR: In this article, the authors introduce engineering psychology and human performance, and present an overview of the major aspects of engineering psychology, including: Signal Detection, Information Theory and Absolute Judgment, Attention in Perception and Display Space, Spatial Displays, Memory and Training 8. Decision Making 9. Selection of Action 10. Attention, Time sharing and Workload 11. Mental Workload, Stress, and Individual Differences: Cognitive and Neuroergonomic Perspectives 12. Automation 13. Epilogue