Cognitive friction measurement: Interaction assessment of interface information in complex information systems

Abstract

The level of Cognitive Load (CL), which is used to react to the level of cognitive friction, is typically utilized in the study of user cognitive friction. Complex Information System (CIS) interactions include both informational and operational interaction behaviors, and Information interaction is regarded as a critical aspect in defining the quality and efficacy of system functionality. TIn order to assess Cognitive Friction (CF) and inform ensuing interface design improvement, this paper integrates numerous CL assessment aspects. First, a conceptual framework for the method is built by examining measuring metric differences and integrating them through literature research, which is then combined with the user research process in design. Second, using this framework as a reference, a comparative experiment on user CF measurement was carried out by fusing eye tracking with the cause and assessment factors of CL. Ultimately, the user was provided with the CF index under the multidimensional dimension using the Fuzzy Comprehensive Evaluation (FCE). The findings demonstrate that the Multidimensional User Cognitive Friction Measuring (MUCFM) approach may more accurately capture the degree of CF in the information interaction of CIS interfaces. The viability of the comparative integration method is confirmed by eye tracking tests.

Keywords: Human Factors, Cognitive Load, Information interaction, Causal and Assessment Factors

DOI: 10.54941/ahfe1003587