Computers and Productivity: A Human Factors Viewpoint

1986 ◽  
Vol 30 (14) ◽  
pp. 1354-1357
Author(s):  
Raymond Carpenter ◽  
Michael W. Riley
Keyword(s):  
Human Factors ◽  
Future Research ◽  
Human Factors Engineering ◽  
Engineering Analysis ◽  
Productivity Improvement ◽  
Research Directions ◽  
Work Station ◽  
Future Research Directions

The use of computers as a productivity improvement tool for “knowledgeworkers” is examined. Limitations of the human factors engineering analysis of work station design for the knowledgeworker are developed. Suggestions for future research directions are made.

Human Factors in Phishing Attacks: A Systematic Literature Review

2022 ◽  
Vol 54 (8) ◽  
pp. 1-35
Author(s):  
Giuseppe Desolda ◽  
Lauren S. Ferro ◽  
Andrea Marrella ◽  
Tiziana Catarci ◽  
Maria Francesca Costabile
Keyword(s):  
Literature Review ◽  
Human Factors ◽  
Systematic Literature Review ◽  
Future Research ◽  
Sensitive Information ◽  
Cyber Attack ◽  
Research Directions ◽  
Phishing Attacks ◽  
Big Picture ◽  
Future Research Directions

Phishing is the fraudulent attempt to obtain sensitive information by disguising oneself as a trustworthy entity in digital communication. It is a type of cyber attack often successful because users are not aware of their vulnerabilities or are unable to understand the risks. This article presents a systematic literature review conducted to draw a “big picture” of the most important research works performed on human factors and phishing. The analysis of the retrieved publications, framed along the research questions addressed in the systematic literature review, helps in understanding how human factors should be considered to defend against phishing attacks. Future research directions are also highlighted.

Challenges in Uncertainty, Calibration, Validation and Predictability of Engineering Analysis Models

2011 ◽  
Author(s):  
Liping Wang ◽  
Xingjie Fang ◽  
Arun Subramaniyan ◽  
Giridhar Jothiprasad ◽  
Martha Gardner ◽  
...  
Keyword(s):  
Uncertainty Quantification ◽  
Future Research ◽  
Engineering Analysis ◽  
Future Directions ◽  
Research Directions ◽  
Future Research Directions ◽  
Technical Solutions ◽  
Analysis Models ◽  
Insight Into ◽  
Key Questions

Model calibration, validation, prediction and uncertainty quantification have progressed remarkably in the past decade. However, many issues remain. This paper attempts to provide answers to the key questions: 1) how far have we gone? 2) what technical challenges remain? and 3) what are the future directions for this work? Based on a comprehensive literature review from academic, industrial and government research and experience gained at the General Electric (GE) Company, the paper will summarize the advancements of methods and the application of these methods to calibration, validation, prediction and uncertainty quantification. The latest research and application thrusts in the field will emphasize the extension of the Bayesian framework to validation of engineering analysis models. Closing remarks will offer insight into possible technical solutions to the challenges and future research directions.

scholarly journals Applications of Optical Neuroimaging in Usability Research

2016 ◽  
Vol 24 (2) ◽  
pp. 4-9 ◽  
Author(s):  
Audrey P. Hill ◽  
Corey J. Bohil
Keyword(s):  
Human Factors ◽  
Near Infrared ◽  
Future Research ◽  
Task Completion ◽  
Functional Near Infrared Spectroscopy ◽  
Research Directions ◽  
Psychological Phenomena ◽  
Potential Applications ◽  
Future Research Directions ◽  
Usability Research

In this article we review recent and potential applications of optical neuroimaging to human factors and usability research. We focus specifically on functional near-infrared spectroscopy (fNIRS) because of its cost-effectiveness and ease of implementation. Researchers have used fNIRS to assess a range of psychological phenomena relevant to human factors, such as cognitive workload, attention, motor activity, and more. It offers the opportunity to measure hemodynamic correlates of mental activity during task completion in human factors and usability studies. We also consider some limitations and future research directions.

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