Published: 11th , January, 2022

 

Emerging Cognitive Analytics for Detecting Cognitive Response Based on Pupil Dilation and Skin Conductance Response (SCR)

 

 

Fatima Isiaka
Zainab Adamu
Muhammad A. Adamu

 

Abstract

 

Cognitive analytics uses Artificial Intelligence (AI) oriented methods to understand the context and meaning of certain sentences by recognising certain objects in a vivid image given the large amount of information presented as a graphical representation of its concept. AI algorithms and machine learning are used to improve the quality and content over time, by applying its concept and revealing patterns and network connections that have implementation strategies. Recent areas and projects in the development of analytics use cognitive analytics to monitor customer behaviour patterns and current emerging trends. This helps an organisation to predict future outcomes and make strategic plans for common objectives to improve production performance. The method adopted here uses an AI-oriented procedure to capture users’ eye movement interaction in synchronous to physiological response. The baseline is set in such a way that the basic measure patterns are to detect event correlates and cognitive responses to the visual content. Its major contribution is its ability to detect patterns that correlate to the user's cognitive response as measured by their physiological response.

Keywords: Cognitive psychology, user interface design, eye movement, pupil changes, skin conductance response, cognitive analytics