Engineering Psychology and Human Performance
- C. Wickens, J. G. Hollands, S. Banbury, R. Parasuraman
- Psychology
- 31 August 2021
1. Introduction to Engineering Psychology and Human Performance 2. Signal Detection, Information Theory and Absolute Judgment 3. Attention in Perception and Display Space 4. Spatial Displays 5.…
A model for types and levels of human interaction with automation
- R. Parasuraman, T. Sheridan, C. Wickens
- Computer ScienceIEEE Trans. Syst. Man Cybern. Part A
- 1 May 2000
A model for types and levels of automation is outlined that can be applied to four broad classes of functions: 1) information acquisition; 2) information analysis; 3) decision and action selection; and 4) action implementation.
Humans and Automation: Use, Misuse, Disuse, Abuse
- R. Parasuraman, V. Riley
- Computer ScienceHum. Factors
- 1 June 1997
Understanding the factors associated with each of these aspects of human use of automation can lead to improved system design, effective training methods, and judicious policies and procedures involving automation use.
A Meta-Analysis of Factors Affecting Trust in Human-Robot Interaction
- P. Hancock, D. Billings, K. Schaefer, Jessie Y.C. Chen, E. D. Visser, R. Parasuraman
- BusinessHum. Factors
- 1 October 2011
Factors related to the robot itself, specifically, its performance, had the greatest current association with trust, and environmental factors were moderately associated; there was little evidence for effects of human-related factors.
The Psychology of Vigilance
- M. Loeb, D. R. Davies, R. Parasuraman
- Psychology
- 1 July 1982
Vigilance Requires Hard Mental Work and Is Stressful
- J. Warm, R. Parasuraman, G. Matthews
- PsychologyHum. Factors
- 1 June 2008
Converging evidence using behavioral, neural, and subjective measures shows that vigilance requires hard mental work and is stressful.
Complacency and Bias in Human Use of Automation: An Attentional Integration
- R. Parasuraman, D. Manzey
- Computer ScienceHum. Factors
- 1 June 2010
An integrated model of complacency and automation bias shows that they result from the dynamic interaction of personal, situational, and automation-related characteristics, with attention playing a central role.
Memory load and event rate control sensitivity decrements in sustained attention.
- R. Parasuraman
- PsychologyScience
- 31 August 1979
Results provide a basis for distinguishing between the perceptual and response processes underlying the vigilance decrement that may be generalized across a range of tasks.
Performance Consequences of Automation-Induced 'Complacency'
- R. Parasuraman, R. Molloy, I. Singh
- Computer Science
- 1993
The effect of variations in the reliability of an automated monitoring system on human operator detection of automation failures was examined in two experiments, providing the first empirical evidence of the performance consequences of these changes.
Designing for Flexible Interaction Between Humans and Automation: Delegation Interfaces for Supervisory Control
- C. Miller, R. Parasuraman
- Computer ScienceHum. Factors
- 1 February 2007
It is argued that delegation requires a shared hierarchical task model between supervisor and subordinates, used to delegate tasks at various levels, and offer instruction on performing them, and an architecture for machine-based delegation systems based on the metaphor of a sports team's “playbook” is developed.
...
...