The Cognitive Science of immediate interactive behavior or why milliseconds matter for reality-based interfaces Conference
Winner of the best paper award for CHI 2009 Workshop, Challenges in Evaluating Usability and User Experience in Reality-Based Interaction, Twenty-Seventh Annual SIGCHI Conference on Human Factors in Computing Systems ACM, Boston, MA, 2009.
@conference{gray09chi,
title = {The Cognitive Science of immediate interactive behavior or why milliseconds matter for reality-based interfaces},
author = { Wayne D. Gray},
year = {2009},
date = {2009-01-01},
booktitle = {Winner of the best paper award for CHI 2009 Workshop, Challenges in Evaluating Usability and User Experience in Reality-Based Interaction},
publisher = {ACM},
address = {Boston, MA},
organization = {Twenty-Seventh Annual SIGCHI Conference on Human Factors in Computing Systems},
abstract = {Reality-based interaction promises to tremendously expand the type of interactive behavior supported by computer systems [17]. However, care must be taken lest reality-based techniques become a trendy replacement of older interactive techniques, not a concomitant of good design.},
keywords = {Immediate interactive behavior, interactive routines, Subjective Present},
pubstate = {published},
tppubtype = {conference}
}
Reality-based interaction promises to tremendously expand the type of interactive behavior supported by computer systems [17]. However, care must be taken lest reality-based techniques become a trendy replacement of older interactive techniques, not a concomitant of good design.
@article{gray08HFj,
title = {Cognitive architectures: Choreographing the dance of mental operations with the task environments},
author = { Wayne D. Gray},
year = {2008},
date = {2008-01-01},
journal = {Human Factors},
volume = {50},
number = {3},
pages = {497-505},
abstract = {Objective: In this paper, I present the ideas and trends that have given rise to the use of cognitive architectures in human factors, provide a cognitive-engineering-oriented taxonomy of these architectures, and a snapshot of their use for cognitive engineering. Background: Architectures of cognition have had a long history in human factors but a brief past. The long history entails a 50 yr preamble, whereas the explosion of work in the current decade reflects the brief past. Understanding this history is key to understanding the current and future prospects for applying cognitive science theory to human factors practice. Method: The review defines three formative eras in cognitive engineering research; the 1950s, 1980s, and now. Results: In the first era the fledging fields of Cognitive Science and Human Factors emphasized characteristics of the dancer, the limited capacity or bounded rationality view of the mind, and the ballroom, the task environment. The second era emphasized the dance; i.e., the dynamic interaction between mental operations and task environment. The third era has seen the rise of cognitive architectures as tools for choreographing the dance of mental operations within the complex environments posed by human factors practice. Conclusions: Hybrid architectures present the best vector for introducing Cognitive Science theories into a renewed engineering-based Human Factors. Application: The taxonomy provided in the paper may provide guidance on when and whether to apply a cognitive science or a hybrid architecture to a human factors issue.},
keywords = {bounded rationality, cognitive architectures, cognitive modeling, extended mind hypothesis, interactive routines, mental operations, task environment, unit task},
pubstate = {published},
tppubtype = {article}
}
Objective: In this paper, I present the ideas and trends that have given rise to the use of cognitive architectures in human factors, provide a cognitive-engineering-oriented taxonomy of these architectures, and a snapshot of their use for cognitive engineering. Background: Architectures of cognition have had a long history in human factors but a brief past. The long history entails a 50 yr preamble, whereas the explosion of work in the current decade reflects the brief past. Understanding this history is key to understanding the current and future prospects for applying cognitive science theory to human factors practice. Method: The review defines three formative eras in cognitive engineering research; the 1950s, 1980s, and now. Results: In the first era the fledging fields of Cognitive Science and Human Factors emphasized characteristics of the dancer, the limited capacity or bounded rationality view of the mind, and the ballroom, the task environment. The second era emphasized the dance; i.e., the dynamic interaction between mental operations and task environment. The third era has seen the rise of cognitive architectures as tools for choreographing the dance of mental operations within the complex environments posed by human factors practice. Conclusions: Hybrid architectures present the best vector for introducing Cognitive Science theories into a renewed engineering-based Human Factors. Application: The taxonomy provided in the paper may provide guidance on when and whether to apply a cognitive science or a hybrid architecture to a human factors issue.