A Study on the Mechanism by Which Perceived Diagnosticity of Mobile Detail Pages Influences Cognitive Load and Decision Comfort

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Authors: Feng Zhang, Dong Min Cho
Cited by: 0

Abstract

In mobile service platforms, the interface structure of product detail page is increasingly converging. But users still show significant cognitive differences in understanding service information and forming decision-making judgments. Based on this, this study introduces the concept of Perceived diagnosticity to explore its mechanism of influencing decision-making comfort through cognitive load. The study adopts a two-stage design: Study 1 constructs and verifies a multi-dimensional scale including information interpretation, risk judgment diagnosis, value judgment diagnosis and decision integration diagnosis through in-depth interviews and factor analysis across service categories. Based on large sample data, the second study uses structural equation model to test the intermediary path of perceived diagnosticity to decision-making comfort, and analyzes the differences in different service category situations. The results show that perceived diagnosticity can effectively reduce cognitive load and improve decision-making comfort. There are differences in the intensity of different diagnostic dimensions in different service situations. In high involvement services, the diagnostic role path of risk judgment is significantly stronger; In low-involvement services, the diagnostic driving role of value judgment is more prominent. From the perspective of user judgment support, this paper expands the research on the experience mechanism of mobile detail page, and provides an empirical basis for the optimization of interface information structure. It provides an empirical basis for the optimization of interface information structure. This study reflects an interdisciplinary convergence perspective integrating design studies, cognitive psychology, and services marketing.

Fields of Study & Subjects

Usability and User Interface Design Consumer Behavior and Marketing Influence Technology Adoption and User Behaviour

Publication details

Journal / source
The Korean Society of Science & Art
Volume
44
Issue
1
Pages
641–656
Publication date
31 January 2026
Language
EN