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E-book: Human Performance and Situation Awareness Measures 3rd edition [Taylor & Francis e-book]

  • Format: 210 pages, 12 Tables, black and white; 9 Illustrations, black and white
  • Pub. Date: 09-Jan-2019
  • Publisher: CRC Press
  • ISBN-13: 9780429001024
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Human Performance and Situation Awareness Measures 3rd editionLarger Image
  • Format: 210 pages, 12 Tables, black and white; 9 Illustrations, black and white
  • Pub. Date: 09-Jan-2019
  • Publisher: CRC Press
  • ISBN-13: 9780429001024
Other books in subject:
Taylor & Francis e-booksMore info about Taylor & Francis e-books
Companion website: https://www.taylorfrancis.com/books/9780429001024
This book was developed to help researchers and practitioners select measures to be used in the evaluation of human/machine systems. The book begins with an overview of the steps involved in developing a test to measure human performance. This is followed by a definition of human performance and a review of human performance measures. Another section defines situational awareness with reviews of situational awareness measures. For both the performance and situational awareness sections, each measure is described, along with its strengths and limitations, data requirements, threshold values, and sources of further information. To make this reference easier to use, extensive author and subject indices are provided.

Features











Provides a short engineering tutorial on experimental design Offers readily accessible information on human performance and situational awareness (SA) measures Presents general description of the measure Covers data collection, reduction, and analysis requirements Details the strengths and limitations or restrictions of each measure, including proprietary rights or restrictions
List of Figures
xi
List of Tables
xiii
Preface xv
Acknowledgments xvii
Author xix
1 Introduction
1(12)
1.1 The Example
1(10)
1.1.1 Step 1: Define the Question
2(1)
1.1.2 Step 2: Check for Qualifiers
2(1)
1.1.3 Step 3: Specify Conditions
2(1)
1.1.4 Step 4: Match Participants
3(1)
1.1.5 Step 5: Select Performance Measures
3(2)
1.1.6 Step 6: Use Enough Participants
5(1)
1.1.7 Step 7: Select Data-Collection Equipment
6(1)
1.1.8 Step 8: Match Trials
6(3)
1.1.9 Step 9: Select Data-Recording Equipment
9(1)
1.1.10 Step 10: Decide Participant Participation
9(1)
1.1.11 Step 11: Order the Trials
10(1)
1.1.12 Step 12: Check for Range Effects
11(1)
1.2 Summary
11(2)
2 Human Performance
13(122)
2.1 Accuracy
14(21)
2.1.1 Absolute Error
14(1)
2.1.2 Average Range Score
15(1)
2.1.3 Correctness Score
15(1)
2.1.4 Deviations
15(1)
2.1.5 Error Rate
16(1)
2.1.6 False Alarm Rate
17(1)
2.1.7 Number Correct
18(1)
2.1.8 Number of Errors
19(1)
2.1.8.1 Effects of Stimuli Characteristics on Number of Errors
19(1)
2.1.8.2 Effects of Participant Characteristics on Number of Errors
19(1)
2.1.8.3 Effects of Task Characteristics on Number of Errors
20(1)
2.1.8.4 Effects of Environment Characteristics on Number of Errors
20(1)
2.1.9 Percent Correct
21(1)
2.1.9.1 Effects of Environmental Stressors on Percent Correct
21(1)
2.1.9.2 Effects of Visual Display Characteristics on Percent Correct
21(1)
2.1.9.3 Effects of Tactile Display Characteristics on Percent Correct
22(1)
2.1.9.4 Effects of Decision Aids on Percent Correct
22(1)
2.1.9.5 Effects of Vigilance on Percent Correct
23(1)
2.1.9.6 Effects of Task on Percent Correct
23(1)
2.1.9.7 Effects of Training on Percent Correct
23(1)
2.1.10 Percent Correct Detections
24(1)
2.1.11 Percent Errors
25(1)
2.1.12 Probability of Correct Detections
25(1)
2.1.13 Ratio of Number Correct/Number Errors
26(1)
2.1.14 Root Mean Square Error
26(9)
2.2 Time
35(31)
2.2.1 Dichotic Listening Detection Time
35(1)
2.2.2 Glance Duration
36(1)
2.2.3 Lookpoint Time
37(1)
2.2.4 Marking Speed
38(1)
2.2.5 Movement Time
38(2)
2.2.6 Reaction Time
40(1)
2.2.6.1 Auditory Stimuli
41(1)
2.2.6.2 Tactile Stimuli
42(1)
2.2.6.3 Visual Stimuli
42(6)
2.2.6.4 Vestibular Stimuli
48(1)
2.2.6.5 Related Measures
48(9)
2.2.7 Reading Speed
57(2)
2.2.8 Search Time
59(2)
2.2.9 Task Load
61(1)
2.2.10 Time to Complete
62(4)
2.3 Task Batteries
66(8)
2.3.1 AGARD's Standardized Tests for Research with Environmental Stressors (STRES) Battery
66(1)
2.3.2 Armed Forces Qualification Test
67(1)
2.3.3 Deutsch and Malmborg Measurement Instrument Matrix
67(1)
2.3.4 Performance Evaluation Tests for Environmental Research (PETER)
68(2)
2.3.5 Work and Fatigue Test Battery
70(1)
2.3.6 Unified Tri-Services Cognitive Performance Assessment Battery (UTCPAB)
71(3)
2.4 Domain Specific Measures
74(44)
2.4.1 Aircraft Parameters
74(2)
2.4.1.1 Takeoff and Climb Measures
76(1)
2.4.1.2 Cruise Measures
77(2)
2.4.1.3 Approach and Landing Measures
79(3)
2.4.1.4 Air Combat Measures
82(1)
2.4.1.5 Hover Measures
83(1)
2.4.1.6 Standard Rate Turn
84(1)
2.4.1.7 Control Input Activity
85(1)
2.4.1.8 Composite Scores
86(4)
2.4.2 Air Traffic Control Performance Measures
90(4)
2.4.3 Boyett and Conn's White-Collar Performance Measures
94(1)
2.4.4 Charlton's Measures of Human Performance in Space Control Systems
94(2)
2.4.5 Driving Parameters
96(1)
2.4.5.1 Average Brake RT
97(2)
2.4.5.2 Brake Pedal Errors
99(1)
2.4.5.3 Control Light Response Time
100(1)
2.4.5.4 Number of Brake Responses
100(1)
2.4.5.5 Number of Collisions
100(2)
2.4.5.6 Perception-Response Time
102(1)
2.4.5.7 Speed
102(2)
2.4.5.8 Steering Wheel Reversals
104(1)
2.4.5.9 Time
104(2)
2.4.5.10 Tracking Error
106(3)
2.4.5.11 Observational Measures
109(7)
2.4.6 Eastman Kodak Company Measures for Handling Tasks
116(1)
2.4.7 Haworth-Newman Avionics Display Readability Scale
116(2)
2.5 Critical Incidents
118(1)
2.6 Team Performance Measures
119(16)
2.6.1 Cicek, Koksal, and Ozdemirel's Team Performance Measurement Model
120(1)
2.6.2 Collective Practice Assessment Tool
121(1)
2.6.3 Command and Control Team Performance Measures
122(1)
2.6.4 Gradesheet
123(1)
2.6.5 Knowledge, Skills, and Ability
123(1)
2.6.6 Latent Semantic Analysis
124(1)
2.6.7 Load of the Bottleneck Worker
125(1)
2.6.8 Nieva, Fleishman, and Rieck's Team Dimensions
125(1)
2.6.9 Project Value Chain
126(1)
2.6.10 Targeted Acceptable Responses to Generated Events or Tasks
126(1)
2.6.11 Team Communication
127(3)
2.6.12 Team Effectiveness Measure
130(1)
2.6.13 Team Knowledge Measures
131(1)
2.6.14 Teamwork Observation Measure
131(1)
2.6.15 Temkin-Greener, Gross, Kunitz, and Mukamel Model of Team Performance
132(1)
2.6.16 Uninhabited Aerial Vehicle Team Performance Score
132(3)
3 Measures of Situational Awareness
135(40)
3.1 Performance Measures of SA
137(18)
3.1.1 Cranfield Situation Awareness Scale (Cranfield-SAS)
137(1)
3.1.2 Quantitative Analysis of Situation Awareness
138(1)
3.1.3 Quantitative Analysis of Situational Awareness (QUASA)
138(1)
3.1.4 SA ANalysis Tool (SAVANT)
139(1)
3.1.5 SALSA
139(1)
3.1.6 Shared Awareness Questionnaire
140(1)
3.1.7 Situational Awareness Global Assessment Technique (SAGAT)
140(10)
3.1.8 Situational Awareness Linked Instances Adapted to Novel Tasks
150(1)
3.1.9 Situation Present Assessment Method (SPAM)
151(2)
3.1.10 Tactical Rating of Awareness for Combat Environments (TRACE)
153(1)
3.1.11 Temporal Awareness
154(1)
3.1.12 Virtual Environment Situation Awareness Rating System
154(1)
3.2 Subjective Measures of SA
155(19)
3.2.1 China Lake Situational Awareness
155(1)
3.2.2 Crew Awareness Rating Scale
156(2)
3.2.3 Crew Situational Awareness
158(1)
3.2.4 Mission Awareness Rating Scale (MARS)
158(1)
3.2.5 Human Interface Rating and Evaluation System
159(1)
3.2.6 Situation Awareness for SHAPE
159(3)
3.2.7 Situation Awareness Behavioral Rating Scale (SABARS)
162(2)
3.2.8 Situation Awareness Control Room Inventory
164(1)
3.2.9 Situational Awareness Rating Technique (SART)
164(7)
3.2.10 Situational Awareness Subjective Workload Dominance
171(1)
3.2.11 Situational Awareness Supervisory Rating Form
172(2)
3.3 Simulation
174(1)
List of Acronyms 175(4)
Author Index 179(6)
Subject Index 185
Valerie Gawron has a PhD in Engineering Psychology from the University of Illinois. She has written over 400 publications including the Human Performance, Workload, and Situation Awareness Measures Handbook (second edition) and 2001 Hearts: The Jane Gawron Story. Both of these are being used internationally in graduate classes, the former in human factors and the latter in patient safety. Dr. Gawron is a fellow of the Human Factors and Ergonomics Society, and a fellow of the International Ergonomics Association.
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