Applications of Human–Computer Interaction-Based Decision Support Systems

Dear Colleagues,

Human–Computer Interaction (HCI)-based Decision Support Systems (DSSs) represent a transformative approach to enhancing decision-making processes across diverse domains, including government, healthcare, finance, manufacturing, and emergency response. By integrating intuitive user interfaces with advanced computational models, these systems facilitate seamless interaction between humans and machines. They enable users to interpret complex data, simulate scenarios, and make informed decisions in real time.

This Special Issue explores the applications of HCI-based DSSs, emphasizing their role in improving user experience, reducing cognitive load, and increasing decision accuracy. Key technologies—such as natural language processing, adaptive interfaces, and multimodal interaction—are examined for their contributions to system responsiveness and personalization.

Case studies may include (but are not limited to) implementations in clinical diagnostics, disaster management, and smart city planning, demonstrating these systems’ capacity to support both strategic and operational decisions while ensuring legal validity and accuracy. The Issue also seeks to highlight the importance of user-centered design approaches (e.g., value-sensitive design) and continuous feedback loops in optimizing system performance. We particularly welcome contributions that explore the concept of affordances in this context.

Future directions include the integration of artificial intelligence and machine learning to further enhance adaptability and predictive capabilities. Finally, this Special Issue welcomes papers addressing the interplay between HCI-based DSS and developments in Generative AI.

Prof. Dr. Koen Smit
Dr. Raquel Sebastião
Guest Editors

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