Wide scope of applications of the SSAT toward the optimization of user experience

Abstract: In this paper we are demonstrating application of the Systemic Structural Activity Theory (SSAT) to a wide range of applications. We will show how SSAT has been applied to the reduction of task complexity, to the enhancement of the efficiency of performance, to the improvement of user friendliness of various applications and to the reliability of performance. Our purpose here is to firstly demonstrate how the founder of SSAT Gregory Bedny applied his theory and demonstrated it efficiency.We will also show how other scientist implemented SSAT in their research in a wide variety of areas such as medicine, decision making, human-computer interaction, Web design, AI, healthcare, etc.Our goal here is also to show that SSAT has great potential for future application in a variety of research areas.We, for example are considering to apply this theory to the study of the user friendliness of cell phone apps that have their own specific restrictions and users’ demands. SSAT is a high-level generality theory. There are a number of methods of task and human performance analysis that have been developed within this framework. Our paper will briefly describe these methods and mention examples of utilizing these methods in order to enhance product quality, improve user experience, minimize human errors and increase the probability of successful results of human activity in a variety of areas of human activity demonstrating that behavior action require mental efforts for their regulation. SSAT provides a deep understanding of the relationship between external motor and internal cognitive action that are basic elements of human activity. Suggested by SSAT methods can be applied to traditional and computer based human activity.This paper will also discuss motivational aspects of human activity and the role they play in success or failure of an enterprise. We will touch on such aspects of human activity as its complexity and difficulty and their correlation with motivation. SSAT pays special attention to the cognitive components of human activity and demonstrates the methods of making the activity less complex and reducing the memory load. These aspects are equally important in both production and non-production environments.The above-mentioned methods can be successfully utilized in the design of a variety of products from apps and AI to kitchen appliances because they allow to take into account human emotions, motivation, memory load, usability aspects, etc. They can also be applied to devising the most efficient methods of work or non-work-related tasks. We will discuss the analytical level of product design and the implementation of the suggested methods to the training process.This paper will cover the existing applications of SSAT and the opportunities of using its methods in the future research.

Keywords: Systemic Structural Activity Theory, apps, AI, usability, user experience, efficiency, cognition

DOI: 10.54941/ahfe1004739

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