Mapping Information Requirements for Police Patrol and Response to Informational Displays

Police officers frequently use mobile display terminals (MDTs) in their cruisers to gather information about calls. Unfortunately, MDT design often fails to indicate which information is important for each call. This limitation increases cognitive load and violates the principle of proximity compatibility (Wickens & Carswell, 1995). To improve MDT design, it is important to present appropriate information at the appropriate time, enabling officers to make sense of situations. The present research compiled the 23 types of calls and 25 items of information that officers considered most important. Fifty-nine officers rated the importance of each piece of information by call type, yielding a prioritized list. Hierarchical cluster analysis and Pathfinder networks identified call clusters that rely on similar information, as well as information needed for the same types of call. Using these results, officers then helped design a mock-up that applies to a complex call. The results and mock-up provide guidance for designing MDTs, indicating which calls are most information intensive and what information should be presented simultaneously and in close proximity.

[1]  Jennifer K. Phillips,et al.  A Data–Frame Theory of Sensemaking , 2007 .

[2]  Patrick Stuart Murray,et al.  The effects of stress on pilot reactions to unexpected, novel, and emergency events , 2010 .

[3]  R. Yerkes,et al.  The relation of strength of stimulus to rapidity of habit‐formation , 1908 .

[4]  Peter Pirolli,et al.  Information Foraging , 2009, Encyclopedia of Database Systems.

[5]  Robert R. Hoffman,et al.  Studying Cognitive Systems in Context: Preface to the Special Section , 2000, Hum. Factors.

[6]  Dennis B. Beringer,et al.  Priority and Organization of Information Accessed by Pilots in Various Phases of Flight , 2001 .

[7]  Laurence Alison,et al.  Policing Critical Incidents : Leadership and Critical Incident Management , 2008 .

[8]  C. Chabris,et al.  Gorillas in Our Midst: Sustained Inattentional Blindness for Dynamic Events , 1999, Perception.

[9]  G. Bower,et al.  THE PSYCHOLOGY OF LEARNING AND M·OTIVATION , 2001 .

[10]  Eric Bergman,et al.  Introduction to Human Factors , 2012, Journal of diabetes science and technology.

[11]  G. Hockey Changes in operator efficiency as a function of environmental stress, fatigue, and circadian rhythms. , 1986 .

[12]  K. Weick FROM SENSEMAKING IN ORGANIZATIONS , 2021, The New Economic Sociology.

[13]  James Frank,et al.  The content of community policing: a comparison of the daily activities of community and “beat” officers , 1997 .

[14]  Donald A. Norman,et al.  User Centered System Design: New Perspectives on Human-Computer Interaction , 1988 .

[15]  John A. Webster Police Task and Time Study , 1970 .

[16]  P. Sopp Cluster analysis. , 1996, Veterinary immunology and immunopathology.

[17]  D. Simons Attentional capture and inattentional blindness , 2000, Trends in Cognitive Sciences.

[18]  Gary Klein,et al.  Working Minds: A Practitioner's Guide to Cognitive Task Analysis , 2006 .

[19]  T. Ormerod,et al.  Investigative sense-making in criminal contexts , 2008 .

[20]  Renate J. Roske-Hofstrand,et al.  Cognitive networks as a guide to menu organization: An application in the automated cockpit , 1986 .

[21]  Christopher D. Wickens,et al.  The Proximity Compatibility Principle: Its Psychological Foundation and Relevance to Display Design , 1995, Hum. Factors.

[22]  Stuart K. Card,et al.  The cost structure of sensemaking , 1993, INTERCHI.

[23]  Ola Svenson,et al.  Time pressure and stress in human judgment and decision making , 1993 .

[24]  Christopher D. Wickens,et al.  An introduction to human factors engineering , 1997 .

[25]  Robert R. Hoffman,et al.  Expertise out of context : proceedings of the sixth International Conference on Naturalistic Decision Making , 2007 .

[26]  L. Kaufman,et al.  Handbook of perception and human performance , 1986 .

[27]  Roger W. Schvaneveldt,et al.  Pathfinder associative networks: studies in knowledge organization , 1990 .

[28]  Susan G. Hutchins,et al.  A NEW PERSPECTIVE ON USE OF THE CRITICAL DECISION METHOD WITH INTELLIGENCE ANALYSTS , 2004 .

[29]  P. Pirolli,et al.  The Sensemaking Process and Leverage Points for Analyst Technology as Identified Through Cognitive Task Analysis , 2007 .

[30]  Christopher D. Wickens,et al.  The Effects of Stress on Pilot Judgment in a MIDIS Simulator , 1993 .

[31]  Francis T. Durso,et al.  Network Structures in Proximity Data , 1989 .

[32]  A.,et al.  Cognitive Engineering , 2008, Encyclopedia of GIS.