Paper Info
Title
Using hierarchical task decomposition as a grammar to map actions in context: Application to forecasting systems in supply chain planning
Abstract
In this paper, we consider the value of using Hierarchical Task Analysis (HTA) as a grammar to map actions in context. The grammar approach aims to develop a richer picture of user actions in a task accommodating aspects of the socio-organizational context. This paper reflects on user tasks as emerged from interviews with real users in supply chain industries where Forecasting Support Systems (FSS) are used to predict future product sales. In this paper, we use HTA to describe what the expert literature has identified as the stages in producing sales forecasts. In order to evaluate this against reported scenarios and observations of actual use, we apply an approach that uses a parallel to the grammar of everyday language to represent user activities. In addition to specifying the particular socio-organizational aspects of FSS use, we show how the grammar approach contributes to effective analysis of unstructured, qualitative data. The methodology we adopt also eases our attempt to understand user tasks and validate the constructed HTA model in a given context. The methodological implications and future research directions for task analysis models are discussed.
Year
DOI
Venue
2011
10.1016/j.ijhcs.2011.01.001
Int. J. Hum.-Comput. Stud.
Keywords
Field
DocType
Grammar task analysis,Hierarchical task analysis,Forecasting support systems,User scenarios,Forecasting practice
Qualitative property,Task analysis,Supply chain planning,Support system,Computer science,Decision support system,Grammar,Scenario,Human–computer interaction,Supply chain
Journal
Volume
Issue
ISSN
69
4
International Journal of Human - Computer Studies
Citations 
PageRank 
References 
2
0.38
28
Authors
3
Name
Order
Citations
PageRank
Stavros Asimakopoulos131.47
Alan J. Dix21688207.48
Robert Fildes317215.35