Abstract
In this report, the approach taken to designing User Interfaces for the SPEEDD project is described. The aim of this work package is to develop design and evaluation approaches which are informed by a robust theory of human decision making, which will extend theory and practice in Ergonomics/Human Factors and which will lead to the development of novel display design concepts.
The report provides a short introduction to the field of Visual Analytics before introducing the main strands of the Ergonomics/Human Factors theory developed for SPEEDD. This begins with an acknowledgement of the importance of Situation Awareness as a key (but often underplayed) aim for the design of Visual Analytics, and then explores approaches to decision making. In particular, SPEEDD is developing a novel approach to human decision which draws on concepts from cybernetics.
In order to study how operators use information in their environment to support decision making, SPEEDD employs eye-tracking to collect data (in the field and in laboratories). The next section reviews approaches to the analysis of eye-tracking data and explains how these approaches can be related to the theory of decision making.
The approach to visualization design used in SPEEDD follows principles from Cognitive Work Analysis (CWA) with the aim of developing Ecological Interfaces. The CWA approach used in SPEEDD is reviewed and the approach to Ecological Interface Design is considered in comparison to other design approaches. The CWA results in a set of design assumptions which complement the User Requirements proposed in deliverables 7.1 and 8.1. On the basis of these assumptions, it is possible to map User Interface layout in terms of specific functions which need to be supported. Assuming that each of these functions would be allocated its own area of results in a schematic layout of the UI. This schematic is then populated using objects which relate to these functions.
The next section reports the Road Traffic Management Use Case. The CWA views of the work activity are presented. These views allow the analysis to determine which type of decision making is performed in the system and what type of information would best support such activity. In particular, the analysis raises the question of how Situation Awareness is managed in the control room at present and how this could be supported in future designs.
The second case study involves the specification of the User Interface for Credit Card Fraud. In this report, we have drawn our analysis from informal discussions with bank staff and from reviews of related literature. This means that the description of activity is somewhat compromised by the lack of access that we have been able to obtain. However, it should be borne in mind that Fraud prevention is a highly secure environment and that banks are unwilling to publicly share information (for reasons of customer confidentiality, commercial sensitivity and crime prevention).
The report provides a short introduction to the field of Visual Analytics before introducing the main strands of the Ergonomics/Human Factors theory developed for SPEEDD. This begins with an acknowledgement of the importance of Situation Awareness as a key (but often underplayed) aim for the design of Visual Analytics, and then explores approaches to decision making. In particular, SPEEDD is developing a novel approach to human decision which draws on concepts from cybernetics.
In order to study how operators use information in their environment to support decision making, SPEEDD employs eye-tracking to collect data (in the field and in laboratories). The next section reviews approaches to the analysis of eye-tracking data and explains how these approaches can be related to the theory of decision making.
The approach to visualization design used in SPEEDD follows principles from Cognitive Work Analysis (CWA) with the aim of developing Ecological Interfaces. The CWA approach used in SPEEDD is reviewed and the approach to Ecological Interface Design is considered in comparison to other design approaches. The CWA results in a set of design assumptions which complement the User Requirements proposed in deliverables 7.1 and 8.1. On the basis of these assumptions, it is possible to map User Interface layout in terms of specific functions which need to be supported. Assuming that each of these functions would be allocated its own area of results in a schematic layout of the UI. This schematic is then populated using objects which relate to these functions.
The next section reports the Road Traffic Management Use Case. The CWA views of the work activity are presented. These views allow the analysis to determine which type of decision making is performed in the system and what type of information would best support such activity. In particular, the analysis raises the question of how Situation Awareness is managed in the control room at present and how this could be supported in future designs.
The second case study involves the specification of the User Interface for Credit Card Fraud. In this report, we have drawn our analysis from informal discussions with bank staff and from reviews of related literature. This means that the description of activity is somewhat compromised by the lack of access that we have been able to obtain. However, it should be borne in mind that Fraud prevention is a highly secure environment and that banks are unwilling to publicly share information (for reasons of customer confidentiality, commercial sensitivity and crime prevention).
| Original language | English |
|---|---|
| Publisher | EU |
| Number of pages | 75 |
| Publication status | Published - 1 Nov 2014 |
