HappyBrain : a web-based virtual platform for exploring the impact on cognitive load management

Abstract

Cognitive overload is a common challenge in the modern society. There is a critical design gap in digital tools for mental health, as they often separate scientific evaluation from therapeutic intervention. Applying the Design Science Research (DSR) methodology, this thesis details the design, development and evaluation of HappyBrain: a novel web-based IT artifact that combines evidence-based cognitive assessments with relaxation exercises on a unified platform. The utility and usability of the HappyBrain prototype were evaluated scientifically through a mixed-methods user study (N=8). Data was collected on subjective mental workload using the NASA-Task Load Index (NASA-TLX), affective state using the Positive and Negative Affect Schedule (PANAS-SF), user experience through a validated usability survey and objective cognitive performance. The research shows that the artifact is usable (M=4.64/7), induces a moderate and appropriate level of cognitive workload (NASA-TLX M=3.67) and is associated with a predominantly positive affective state (Positive Affect M=14.5 vs. Negative Affect M=6.5). The research also confirmed a strong positive relationship between perceived workload and negative affect (r=0.79). The HappyBrain artifact itself is the primary contribution of this work and will act as a proof-of-concept and a verified design pattern of integrated cognitive wellness tools. This research shows the feasibility and utility of combining assessment and intervention to address the challenges of cognitive load, thereby contributing an evidence-based solution to the domain of digital mental health.