Paper Number
ECIS2026-2132
Paper Type
CRP
Abstract
Perceived complexity is frequently discussed in Information Systems (IS) research, yet the mechanisms through which it emerges remain conceptually fragmented. This study addresses this fragmentation by conducting a structured review of 45 IS studies and drawing on cognitive appraisal theory, sensemaking theory and cognitive load theory. The resulting Cognitive-Sensemaking Framework of Perceived Complexity (CoSeF) explains how objective system features trigger appraisal processes, elicit emotional reactions, shape sensemaking efforts and interact with cognitive load to produce dynamic perceptions of complexity. CoSeF further clarifies how perceived complexity influences behavioural outcomes and how it evolves through repeated interaction. By synthesizing previously disconnected perspectives, this study provides the first comprehensive theoretical account of perceived complexity and apply its heightened relevance in AI contexts, where opacity and unpredictability intensify cognitive and emotional demands. The findings offer both a foundation for future research and actionable guidance for designing more interpretable and user-aligned digital systems.
Recommended Citation
Niemann, Laura and Werth, Oliver, "Making Sense Of Complexity: A Cognitive-Sensemaking Perspective On Perceived Complexity" (2026). ECIS 2026 Proceedings. 13.
https://aisel.aisnet.org/ecis2026/litrev/litrev/13
Making Sense Of Complexity: A Cognitive-Sensemaking Perspective On Perceived Complexity
Perceived complexity is frequently discussed in Information Systems (IS) research, yet the mechanisms through which it emerges remain conceptually fragmented. This study addresses this fragmentation by conducting a structured review of 45 IS studies and drawing on cognitive appraisal theory, sensemaking theory and cognitive load theory. The resulting Cognitive-Sensemaking Framework of Perceived Complexity (CoSeF) explains how objective system features trigger appraisal processes, elicit emotional reactions, shape sensemaking efforts and interact with cognitive load to produce dynamic perceptions of complexity. CoSeF further clarifies how perceived complexity influences behavioural outcomes and how it evolves through repeated interaction. By synthesizing previously disconnected perspectives, this study provides the first comprehensive theoretical account of perceived complexity and apply its heightened relevance in AI contexts, where opacity and unpredictability intensify cognitive and emotional demands. The findings offer both a foundation for future research and actionable guidance for designing more interpretable and user-aligned digital systems.
When commenting on articles, please be friendly, welcoming, respectful and abide by the AIS eLibrary Discussion Thread Code of Conduct posted here.