Korea Univ. Division Information Management Engineering User Interface Lab. 고려대학교 이원표 Using Cognitive Work Analysis to Explore Activity Allocation within Military Domains

Korea Univ. Division Information Management Engineering User Interface Lab 1/15 0. Contents 1.Introduction 2.Analysis Result 1) Work Domain Analysis 2) Cognitive Task Analysis 3) SOCA 3.Conclusion

Korea Univ. Division Information Management Engineering User Interface Lab 2/15 1. INTRODUCTION 1.CWA(Cognitive Work Analysis) and EID has a plethora of applications of constraints within military domains 2.WDA and CTA(Control Task Analysis) have received a significant attention.  The analysis of the constraints framing interaction and allocation of function are essential considerations for design in complex socio-technical systems 3.These constraints as Watson & Sanderson(2007) point out are not explicitly considered in EID 4.This report will attempt to address this imbalance by exploring the potential benefits of the Social Organisation and Cooperation Analysis(SOCA) phase of CWA 5.This report will introduce Mission Planning System(MPS) analysed, and following this the choice of CWA as analysis approach will be discussed. The data collection process will be explained, along w/ the analysis results and conclusions

Korea Univ. Division Information Management Engineering User Interface Lab 3/15 1. INTRODUCTION 1.MPS is an essential part of flying a military aircraft 2.Pilots are required to process in parallel, cognitively intense activities including; time keeping, hazard perception, and off-board communication 3.Pilots are required to constantly evaluate the effects their actions have on others within the domain 4.Decisions need to be made that consider any number of both military and non-military services, organisations and civilian groups. 5.Calculations need to be made based upon a number of physical considerations; these include environmental constraints, aircraft performance and payloads 6.Pre-Flight planning: essential method used to alleviate some of the pilot’s airborne workload.  It was formerly conducted on paper maps, 7.And is now supported by a digital software based planning tool: the Mission Planning System(MPS) 8.MPS software tool provides and processes digital information on battlefield data, threat assessment, inter0visibility, engagement zone, communication details, transponder information and IFF(Identification friend or Foe) settings.  MPS is used to plan and assess single and multiple aircraft sortie missions.

Korea Univ. Division Information Management Engineering User Interface Lab 4/15 1. INTRODUCTION 1. Mission plans are generated prior to take off on PC based MPS terminals 2. Key information developed in the software tool is transferred to the aircraft via a digital storage device called a Data Transfer Cartridge (DTC) 3. Information is presented on the aircraft’s onboard flight display The digitisation of the planning process has a number of benefits 1) By performing multiple parallel calculations, the computer is able to consider a huge number of variables that would be in conceivable in a paper-based system.  This allows for greater accuracy in modelling factors such as fuel burn rates 2) It is possible to rethink task distribution  Activity can be distributed amongst the planning team through a simple network allowing tasks to be completed collaboratively 1.1 MPS

Korea Univ. Division Information Management Engineering User Interface Lab 5/15 1. Woods’(1988) considers four dimensions for complexity 1) Dynamism of the system 2) Parts, variables and their interconnections 3) Uncertainty 4) Risk  The MPS serves is extremely complex. 2. Zsambok & Klein(1997) describe battlefields as environments that have high stakes: are dynamic, ambiguous, time stressed; and in which goals are ill defined or competing. An approach is required to model the MPS domain that is independent of time or specific context. Although initially developed for closed loop, international, process control domains, CWA has been successfully applied to a number of open-loop military systems. Vincente(1999) describes CWA as a composite made up of a number of phases. Each of these phases considers different types of constraints, each having its own distinct role and various representational methods. 1.2 Why Cognitive Work Analysis 1. INTRODUCTION

Korea Univ. Division Information Management Engineering User Interface Lab 6/15 * The WDA models the system’s purpose, functions, components, and capabilities. * The control Task Analysis (ConTA) models the known recurring activities occurring during mission planning. * The social organisation and Cooperation Analysis(SOCA) identifies the key actors involved in the mission planning process and models the constraints governing the tasks that they can and cannot undertake 1. INTRODUCTION 1.2 Why Cognitive Work Analysis

Korea Univ. Division Information Management Engineering User Interface Lab 7/15 1.Access was granted to a number of Subject Matter Experts(SMEs) 2.SMEs were able to provide the analysts w/ a high level of domain understanding 3.SMEs also provided an essential contribution to the validation of the CWA products 4.The data collected during sessions was used to create the AH, CAT(Contextual Activity Template), and SOCA(Social Organisation and Cooperation Analyses) 5.The analysis was conducted using the Human Factors Intergration Defence Technology Centre’s(HTI DTC) CWA software tool 1. INTRODUCTION 1.3 Data Collection

Korea Univ. Division Information Management Engineering User Interface Lab 8/15 2. Analysis Results 2.1 Work Domain Analysis 1.The initial phase of CWA, WDA is used to describe the constraints governing the domain in which the activity takes place. 2.The first stage of this process involves constructing a Abstraction Hierarchy(AH). 3.AH represents the system at a number of levels of abstraction. 1) Functional purpose 2) Values and priority measures 3) Purpose related functions 4) Object related processes 5) Physical objects

Korea Univ. Division Information Management Engineering User Interface Lab.

Korea Univ. Division Information Management Engineering User Interface Lab 11/15 2. Analysis Results 1.One of the main advantage of WDA is that the output is truly activity independent -In the Figure 3, the object in the lowest two level activity may change as new technology is introduced. -However, the system purpose, the way in which this measured, and the object related processes are unlikely to change 2.The product of WDA is often also represented on an Abstraction Decomposition Space(ADS). -ADS is developed by classifying each of the nodes in the AH into a number of levels of decomposition. -The ADS is more compact representation; however without the means-ends links the structural relationship between the nodes is not clear 2.1 Work Domain Analysis

Korea Univ. Division Information Management Engineering User Interface Lab 12/15 2. Analysis Results 2.1 Work Domain Analysis

Korea Univ. Division Information Management Engineering User Interface Lab 13/15 2. Analysis Results 1.The second phase of the analysis is Control Task Analysis. 2.The analysis focuses on what has to be achieved independent of how the task is conducted, or who is undertaking it. 3.Naikar introduce the Contextual Activity Template for use in this phase of the CWA 4.The Contextual Activity Template is a matrix showing which activities can occur in which situations. 5.Work situations are shown along the horizontal axis and the work functions are shown along the vertical axis. 6.The dotted boxes indicate all of the work situations in which a work function can occur. 7.The bars within each box indicate the situations in which a function will typically occur. 2.2 Control Task Analysis

Korea Univ. Division Information Management Engineering User Interface Lab 14/15 2. Analysis Results 2.2 Control Task Analysis

Korea Univ. Division Information Management Engineering User Interface Lab 15/15 2. Analysis Results For example, 1)Target engagement planning can take place anywhere, but is not likely to take place whilst the aircraft is on the ground 2)Due to a number of mainly technical constraints, some of the functions can only take place on the ground with the MPS system. (such as calculations of safe heights; inter-visibly calculations; radar programming; resource allocation; understanding of critical information for cockpit; and determining the mission equipment) 3)It can be seen from the dotted boxes that the majority of the functions can(11 of the 17) be conducted in all situations 2.2 Control Task Analysis

Korea Univ. Division Information Management Engineering User Interface Lab 16/15 2. Analysis Results 2.2 Control Task Analysis

Korea Univ. Division Information Management Engineering User Interface Lab 17/15 2. Analysis Results 2.3 Social Organisation and Cooperation Analysis 1)SOCA addresses the constraints governing how the team communications and cooperates

Korea Univ. Division Information Management Engineering User Interface Lab 18/15 2. Analysis Results 2.3 Social Organisation and Cooperation Analysis 2)Figure 8 shows the ADS coded to indicate where each of the actors can influence the system. The coding is limited to the “purpose related functions”

Korea Univ. Division Information Management Engineering User Interface Lab 19/15 2. Analysis Results 2.3 Social Organisation and Cooperation Analysis 3)The CAT can be coded to show which actors can perform work functions in different situations

Korea Univ. Division Information Management Engineering User Interface Lab 20/15 3. Conclusion 1.This report has introduced some of the potential benefits of exploring the SOCA phase of CWA with complex socio-technical system 2.In the process of conducting the WDA and the ConTA a number of short and long term benefits were extracted 1) The short term benefits include the applicability of the WDA for informing the redevelopment of the MPS training syllabus structure 2) The long term benefits of the approach lies in its ability to guide future development of the MPS based on a functional, rather than physical interface 3.Planning w/ the MPS software can potentially be quicker, far more detailed and produce less planning errors.

Korea Univ. Division Information Management Engineering User Interface Lab 21/15 3. Conclusion 4.The results from SOCA(figure9) graphically show the distribution of activity between the actors within the system 5.The analysis in Figure9 clearly shows that many of the activities required in the first work situation can be conducted by a range of different actor groups 6.Through the addition of data sharing protocols and a simple local area network, many of the less safety critical components of the task could be shifted away from the pilots to others actors in the domain 7.From the developed description of constraints, potential combinations of working practices can be identified and evaluated to determine optimal practices.

Korea Univ. Division Information Management Engineering User Interface Lab 22/15