269
Index
workability 100
working environment 102–103
Signoretti, I. 186
Simon, H. 14
Singh, M. 181, 183
situation awareness (SA)
accident investigation 23–25
prospective sensemaking 75–76
high risk organizations 55
high speed navigation 131
HMI evolution 9–11
unmanned aerial systems (UAS) 217
Skjerve, A.B. 250
Snook, S.A. 54, 59
SOLAS conventions 99
Sonenshein, S. 64, 66
Scrum frameworks 179
standard and guideline hierarchy 6–7
STCW conventions 99
style guide 6, 11
Suchman, L. 72
suitably qualified and experienced (SQEP)
professional 30
Sunde, E. 93
survivability 101, 109–112, 111
Sutcliffe, K. M. 73
Sy, D. 182
system approach 14
target level of risk 26
Teoh, E. R. 193
Tesla, Nikola 211
Thompson, W. 216
Tsoukas, H. 56, 67
unattended train operation (UTO)
automated metros 198–199
levels of automation 199
reliability and operability 199
safety challenges 199
systematic reporting and analysis 199
unified bridge
artefacts 142
base knowledge 141–142
benefits 150
under the bonnet, complexity 149
challenges 150
cognitive task analysis 140
concept phase 138
control levers and joysticks ideation 145
design criteria 136–137
design phase 138
design thinking vs. user-centred design
processes 138
develop phase 138
DNV-GL’s standard 148
emphasize method 139–140
experienced vs. unexperienced operator
143–144
experiences 150–151
factory acceptance test (FAT) 147
high fidelity prototypes 146–147
ideation 144–145
ISO 6385 (ISO, 2004) standards 138
ISO 11064-1–7 standards 138
layout of 149, 151
luxury problems and cognitive load 142–144
NAUT-OSV standard 148
observations and interview 139–140
operator chair ideation 145
performance objective 140
phases of design process 138
prototyping activities 145, 145–146
proximity objective 140
required knowledge 142
research phase 138
safety and simplicity 140
safety-critical tasks 140
ship bridge consoles ideation 144
simplicity, design 136
software interfaces 145
standards and regulations 148
task goal and desired outcome 141
technical requirements 146
test phase 138
traditional ship bridges 137
trigger point 141
user-centred design process 137–139
Union Carbide gas leak incident 57
unmanned aerial systems (UAS)
air traffic management models 217
ANSI/HFES-100 standard 217–218
autonomous control 214
categories 215
codes, sensemaking data/frame model 229
Coen’s Kappa and correlation coefficient
229, 229
communication system models 217
control mechanisms 214–215
control system models 217
development 212, 213
developmental focus 210
DoD HFACS models 217
error of commission models 217
goals and objectives of 220
ground control 215
HFACS models 217
human factors analysis and classification
system (HFACS) model 215
human factors and ergonomic (HF/E)
evaluation 216–217
human factors standards 210–211
in human history 211–212
human-system issues taxonomies 217
Index
workability 100
working environment 102–103
Signoretti, I. 186
Simon, H. 14
Singh, M. 181, 183
situation awareness (SA)
accident investigation 23–25
prospective sensemaking 75–76
high risk organizations 55
high speed navigation 131
HMI evolution 9–11
unmanned aerial systems (UAS) 217
Skjerve, A.B. 250
Snook, S.A. 54, 59
SOLAS conventions 99
Sonenshein, S. 64, 66
Scrum frameworks 179
standard and guideline hierarchy 6–7
STCW conventions 99
style guide 6, 11
Suchman, L. 72
suitably qualified and experienced (SQEP)
professional 30
Sunde, E. 93
survivability 101, 109–112, 111
Sutcliffe, K. M. 73
Sy, D. 182
system approach 14
target level of risk 26
Teoh, E. R. 193
Tesla, Nikola 211
Thompson, W. 216
Tsoukas, H. 56, 67
unattended train operation (UTO)
automated metros 198–199
levels of automation 199
reliability and operability 199
safety challenges 199
systematic reporting and analysis 199
unified bridge
artefacts 142
base knowledge 141–142
benefits 150
under the bonnet, complexity 149
challenges 150
cognitive task analysis 140
concept phase 138
control levers and joysticks ideation 145
design criteria 136–137
design phase 138
design thinking vs. user-centred design
processes 138
develop phase 138
DNV-GL’s standard 148
emphasize method 139–140
experienced vs. unexperienced operator
143–144
experiences 150–151
factory acceptance test (FAT) 147
high fidelity prototypes 146–147
ideation 144–145
ISO 6385 (ISO, 2004) standards 138
ISO 11064-1–7 standards 138
layout of 149, 151
luxury problems and cognitive load 142–144
NAUT-OSV standard 148
observations and interview 139–140
operator chair ideation 145
performance objective 140
phases of design process 138
prototyping activities 145, 145–146
proximity objective 140
required knowledge 142
research phase 138
safety and simplicity 140
safety-critical tasks 140
ship bridge consoles ideation 144
simplicity, design 136
software interfaces 145
standards and regulations 148
task goal and desired outcome 141
technical requirements 146
test phase 138
traditional ship bridges 137
trigger point 141
user-centred design process 137–139
Union Carbide gas leak incident 57
unmanned aerial systems (UAS)
air traffic management models 217
ANSI/HFES-100 standard 217–218
autonomous control 214
categories 215
codes, sensemaking data/frame model 229
Coen’s Kappa and correlation coefficient
229, 229
communication system models 217
control mechanisms 214–215
control system models 217
development 212, 213
developmental focus 210
DoD HFACS models 217
error of commission models 217
goals and objectives of 220
ground control 215
HFACS models 217
human factors analysis and classification
system (HFACS) model 215
human factors and ergonomic (HF/E)
evaluation 216–217
human factors standards 210–211
in human history 211–212
human-system issues taxonomies 217