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A Survey on Task Models: Towards an Integrated Task Model

Authors: Guerrero-García, Josefina; González-Calleros, Juan Manuel; Vanderdonckt, Jean; Muñoz-Arteaga, Jaime;

A Survey on Task Models: Towards an Integrated Task Model

Abstract

Many task modeling notations, task analysis methods, and supporting tools have been introduced in human-computer interaction communities, often with different goals and strengths. With this comes need to understand their scopes and their differences. This paper extends previous work by conducting a survey on task models along with their supporting tools. The survey was carried out in three dimensions. Descriptive, meta-models were created for each evaluated approach as a common description. Comparative, a protocol is used to compare models. Generative, resulting from comparison a robust task model is proposed that considers most relevant aspects. This task model has been successfully applied in several real-life case studies. The goal of the present work is to emphasize potential task model’s usages, including: activity analysis, UI generation, evaluation of UI with respect to a task model

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green