The paper is expansive on the psychology of visual perception in dashboards in a push to design for impact. Visualization is a game of storytelling that ensures everything meets human perception in their designs. It is based on building and developing better data visualizations to show how everything would be designed. It is explicit in terms of interpreting and communicating information in making sure that everything is applied to how it works in understanding different psychological requirements to show its application and use, based on improving how information can be applied and improved to make sure that it fits what is expected, based on improved visual impacts. Data interpretation works on processing data requirements to balance information delivery and aesthetics in the data visualizations. The paper is key in providing information that starts with improving compelling visuals, which come with improving the focus on data improvement and improving the essence that works on cognitive load and balance for understanding and reducing clutter or distractions of the data visuals. Organizing and improving information is an important aspect in ensuring that data visualization is effective and reliable, with related data points being explicit and improved in how viewers or the audience view and relate to the information being viewed. Case findings are that there lacks more knowledge in terms of how designing for impact is the future for data visualizations to make visual impact key.

Psychology, Dashboards, Visual Cognition, Cognitive Load

Alhamadi, M., Alghamdi, O., Clinch, S., & Vigo, M. (2022, October). Data quality, mismatched expectations, and moving requirements: the challenges of user-centred dashboard design. In Nordic Human-computer interaction conference (pp. 1-14). https://dl.acm.org/doi/abs/10.1145/3546155.3546708

Burch, M., & Schmid, M. (2024). Dashboard design. River Publishers. https://www.taylorfrancis.com/books/mono/10.1201/9781032657301/dashboard-design-michael-burch-marco-schmid

Franconeri, S. L., Padilla, L. M., Shah, P., Zacks, J. M., & Hullman, J. (2021). The science of visual data communication: What works. Psychological Science in the public interest, 22(3), 110-161. https://journals.sagepub.com/doi/abs/10.1177/15291006211051956

Hehman, E., & Xie, S. Y. (2021). Doing better data visualization. Advances in Methods and Practices in Psychological Science, 4(4), 25152459211045334. https://journals.sagepub.com/doi/abs/10.1177/25152459211045334

Schulze, A., Brand, F., Geppert, J., & Böl, G. F. (2023). Digital dashboards visualizing public health data: a systematic review. Frontiers in public health, 11, 999958. https://www.frontiersin.org/articles/10.3389/fpubh.2023.999958/full

Sethupathy, U. K. A. (2021). Empowering Intelligent Decision-Making: Architecting Resilient Real-Time Data Platforms with Actionable Visual Dashboards. https://www.researchgate.net/profile/Utham-Kumar-Anugula-Sethupathy/publication/391439245_Empowering_Intelligent_Decision-Making_Architecting_Resilient_Real-Time_Data_Platforms_with_Actionable_Visual_Dashboards/links/68179aacded433155742366c/Empowering-Intelligent-Decision-Making-Architecting-Resilient-Real-Time-Data-Platforms-with-Actionable-Visual-Dashboards.pdf

Sorapure, M. (2023). User perceptions of actionability in data dashboards. Journal of Business and Technical Communication, 37(3), 253-280. https://journals.sagepub.com/doi/abs/10.1177/10506519231161611

Oberascher, L., Ploder, C., Spiess, J., Bernsteiner, R., & Van Kooten, W. (2023). Data storytelling to communicate big data internally-a guide for practical usage. European Journal of Management Issues, 31(1), 27-39. https://www.ceeol.com/search/article-detail?id=1118859