Cognitive Information Systems and Visual Interfaces: Enhancing Decisions through Personalization

Attila Márton Putnoki; Tamás Orosz

doi:10.14513/actatechjaur.00966

Authors

Attila Márton Putnoki ELTE Eötvös Loránd University, Pázmány Péter 1/C, 1117 Budapest, Hungary https://orcid.org/0000-0003-1480-9479
Tamás Orosz ELTE Eötvös Loránd University, Pázmány Péter 1/C, 1117 Budapest, Hungary https://orcid.org/0000-0003-0595-6522

DOI:

https://doi.org/10.14513/actatechjaur.00966

Keywords:

Cognitive Information Systems, Cognitive Load, Personalization, Visualization, Decision Support, Human-Computer Interaction

Abstract

The purpose of this study is to evaluate how to integrate personalization, cognitive resonance, and science into the design of dashboards to support more efficient decision-making processes and to decrease cognitive load on humans when using Decision-Support Systems (DSS). To accomplish these goals, we used a combination of survey data collected from professional decision makers along with some examples of various dashboards, the study evaluates how user-tailored interfaces; the use of color; and scientifically supported principles of visualizations affect the usability, and engagement of users with dashboards. Findings suggest that personalization aligns dashboards with user-specific needs, supporting clearer and more consistent perceived decision-making, while potentially strengthening cognitive resonance within Cognitive Information Systems (CIS) through effective Human-Computer Interaction (HCI). Furthermore, our findings indicate that scientifically valid dashboards will provide the most effective way to optimize the user experience and foster trust as well as the ability to accommodate varying levels of complexity in different and fast changing operational environments.

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