AI‑Assisted Emotional Critique in Visual Communication Design Education: Supporting Affective Intent, Cultural Sensitivity, and Ethical Awareness
- DOI
- 10.2991/978-94-6239-737-8_20How to use a DOI?
- Keywords
- Attention-Emotion-Flow Continuum; Affective Design; Cognitive Load; Eye-Tracking; EEG; User Experience
- Abstract
The increasing reliance on digital products necessitates that designers address users’ cognitive and emotional needs. The AEFC Model integrates Cognitive Load Theory, Emotional Design, and Flow Theory, illustrating the interaction between users’ attentional resources, emotional states, and optimal flow experiences. A mixed-methods study tested this model, starting with a pilot study (n = 8) and followed by a larger survey (n = 30). Data collection utilised eye tracking, electroencephalography (EEG), behavioural log files, and semi-structured interviews. Confirmatory factor analyses (CFA) and structural equation models (SEM) examined the relationships between constructs. Findings indicate that depleted attentional capacity leads to negative emotions, obstructing flow states. Furthermore, design factors such as notification frequency and visual hierarchy significantly influence flow, either enhancing or hindering users’ sustained attention.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Amic G. Ho PY - 2026 DA - 2026/08/18 TI - AI‑Assisted Emotional Critique in Visual Communication Design Education: Supporting Affective Intent, Cultural Sensitivity, and Ethical Awareness BT - Proceedings of the 2026 5th International Conference on Art Design and Digital Technology (ADDT 2026) PB - Atlantis Press SP - 148 EP - 154 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6239-737-8_20 DO - 10.2991/978-94-6239-737-8_20 ID - Ho2026 ER -