Anticipating the effects of technological change: A new era of dynamics for human factors

Human factors studies the intersection between people, technology and work, with the major aim to find areas where design and working conditions produce human error. It relies on the knowledge base and research results of multiple fields of inquiry (ranging from computer science to anthropology) to do so. Technological change at this intersection (1) redefines the relationship between various players (both humans and machines), (2) transforms practice and shifts sources of error and excellence, and (3) often drives up operational requirements and pressures on operators. Human factors needs to predict these reverberations of technological change before a mature system has been built in order to steer design into the direction of cooperative human-machine architectures. The quickening tempo of technology change and the expansion of technological possibilities has largely converted the traditional shortcuts for access to a design process (task analysis, guidelines, verification and validation studies, etc.) into oversimplification fallacies that retard understanding, innovation, and, ultimately, human factors' credibility. There is an enormous need for the development of techniques that gain empirical access to the future-that generate human performance data about systems which have yet to be built.

[1]  E. Hutchins Cognition in the wild , 1995 .

[2]  D. Norman The psychology of everyday things , 1990 .

[3]  Sidney Dekker,et al.  Using Forecasts of Future Incidents to Evaluate Future ATM System Designs , 1998 .

[4]  Abraham R. Wagner,et al.  The Lessons of Modern War, Vol. 4: The Gulf War , 1996 .

[5]  David Woods,et al.  Behind human error : cognitive systems, computers, and hindsight : state-of-the-art report , 1994 .

[6]  Brad Hartfield,et al.  Computer systems and the design of organizational interaction , 1988, TOIS.

[7]  Morten Kyng,et al.  Design at Work , 1992 .

[8]  K M Corker COGNITIVE MODELS AND CONTROL: HUMAN AND SYSTEM DYNAMICS IN ADVANCED AIRSPACE OPERATIONS. IN: COGNITIVE ENGINEERING IN THE AVIATION DOMAIN , 2000 .

[9]  E. Sanders Generative Tools for Co-designing , 2000 .

[10]  Sidney W. A. Dekker,et al.  To Intervene or not to Intervene: The Dilemma of Management by Exception , 1999, Cognition, Technology & Work.

[11]  K. Jantke Planning for Learning , 2020, The Power of Assessment for Learning: Twenty Years of Research and Practice in UK and US Classrooms.

[12]  D. Woods Coping with complexity: the psychology of human behaviour in complex systems , 1988 .

[13]  K. Weick The social psychology of organizing , 1969 .

[14]  R. L. Campbell,et al.  Artifacts as psychological theories: the case of human-computer interaction , 1989 .

[15]  Sidney Dekker COGNITIVE COMPLEXITY IN MANAGEMENT BY EXCEPTION: DERIVING EARLY HUMAN FACTOR REQUIREMENTS FOR AN ENVISIONED AIR TRAFFIC MANAGEMENT WORLD. , 1997 .

[16]  Emily S. Patterson,et al.  Bridging the Gap between User-Centered Intentions and Actual Design Practice , 1996 .

[17]  Terry Winograd,et al.  Understanding computers and cognition , 1986 .

[18]  G. Klein,et al.  Decision Making in Action: Models and Methods , 1993 .

[19]  D D Woods,et al.  Implications of automation surprises in aviation for the future of total intravenous anesthesia (TIVA). , 1996, Journal of clinical anesthesia.

[20]  Mary Beth Rosson,et al.  Getting around the task-artifact cycle: how to make claims and design by scenario , 1992, TOIS.

[21]  Jens Rasmussen,et al.  Information Processing and Human-Machine Interaction: An Approach to Cognitive Engineering , 1986 .

[22]  John M. Carroll,et al.  Making Use: Scenario-Based Design of Human-Computer Interactions , 2000 .

[23]  David Woods,et al.  Commentary Designs are hypotheses about how artifacts shape cognition and collaboration , 1998 .

[24]  Erik Hollnagel,et al.  Cognitive Systems Engineering: New Wine in New Bottles , 1983, Int. J. Man Mach. Stud..

[25]  David D. Woods,et al.  Users as Designers: How People Cope with Poor HCI Design in Computer-Based Medical Devices , 1994, Hum. Factors.

[26]  Richard I. Cook,et al.  SPECIAL SECTION: Adapting to New Technology in the Operating Room , 1996, Hum. Factors.

[27]  J. Rassmusen,et al.  Information Processing and Human - Machine Interaction: An Approach to Cognitive Engineering , 1986 .

[28]  Randall J. Mumaw,et al.  Using Cognitive Task Analysis to Define Human Interface Requirements for First-of-A-Kind Systems , 1995 .

[29]  Sidney Dekker,et al.  Coping with Computers in the Cockpit , 1999 .