Description
Business dashboard and other visually intensive Business Intelligence applications are cognitive tools requiring users to deploy various levels of cognition and effort in the process of decision making. Due to this impact on cognition and effort, the design of business dashboard has a potential to influence users’ responses. Rooted in Cognitive Fit Theory’s implications of the role of cognitive effort in the relationship between task-data representation (mis)fit, this emerging research suggests a need to deploy triangulation methodology to measure human responses via biometric sensors in the context of business dashboards. These responses can take the form of attention, emotions, stress and cognitive workload. Research model and questions are presented along with planned methodology and potential practical implications. This research is making a call for more direct and objective measures of user responses in a business dashboard context.
Recommended Citation
Bacic, Dinko, "Understanding Business Dashboard Design User Impact: Triangulation Approach Using Eye-tracking, Facial Expression, Galvanic Skin Response and EEG Sensors" (2017). AMCIS 2017 Proceedings. 21.
https://aisel.aisnet.org/amcis2017/HumanCI/Presentations/21
Understanding Business Dashboard Design User Impact: Triangulation Approach Using Eye-tracking, Facial Expression, Galvanic Skin Response and EEG Sensors
Business dashboard and other visually intensive Business Intelligence applications are cognitive tools requiring users to deploy various levels of cognition and effort in the process of decision making. Due to this impact on cognition and effort, the design of business dashboard has a potential to influence users’ responses. Rooted in Cognitive Fit Theory’s implications of the role of cognitive effort in the relationship between task-data representation (mis)fit, this emerging research suggests a need to deploy triangulation methodology to measure human responses via biometric sensors in the context of business dashboards. These responses can take the form of attention, emotions, stress and cognitive workload. Research model and questions are presented along with planned methodology and potential practical implications. This research is making a call for more direct and objective measures of user responses in a business dashboard context.