Task Analysis in Human-Computer Interaction: A Comparison between Four Task Analysis Techniques

Abstract

Task analysis is an integral part of human-computer interaction, as it permits the client to comprehend, complete, and benefit from the utilization of an interaction system. Task analysis methodologies differ based on the selected approach and the motivation behind its use. The present study aims to compare several task analysis methodologies (i.e. hierarchical task analysis, cognitive task analysis, GOMS task analysis, and emotion task analysis), initially outlining their commonalities and distinctions in structure and usability. After that, it will go into each technique's benefits and drawbacks and how well-suited it is for different jobs. The main results that have been obtained by this research are: the HTA technique is an appropriate selection when the analysis seeks to explore the connections and interdependencies among different components of the task, whereas CTA is appropriate for the analysis that necessitates a technique with an undefined structure comprising of interviews. If the analysis system seeks to identify a cognitive process with a clearly defined structure, the GOMs technique can be a superb option. Lastly, when the task analysis aims to comprehend the emotional aspects of task performance, the ETA serves as an effective instrument to employ. In terms of usability, HTA is widely utilized in the fields of task assistance design and error prediction. CTA proves to be beneficial for tasks that demand sophisticated cognitive functions, GOMS is typically employed in the creation of training tools, the design of assist frameworks, and the documentation for clients, and ETA examines how users' psychological or emotional states influence their responses to tasks as they complete them. It is advised that readers go over this comparison paper in order to obtain a better knowledge of how to select the precise strategy that can aid in finishing an assignment.