Research Article
A Mechanism-Based Design Framework for Prospective Memory Failures in Human–Computer Interaction
@INPROCEEDINGS{10.4108/eai.22-5-2026.2365081, author={Yaoxuan Cheng}, title={A Mechanism-Based Design Framework for Prospective Memory Failures in Human--Computer Interaction}, proceedings={Proceedings of the 4th International Conference on Image, Algorithms, and Artificial Intelligence, ICIAAI 2026, 22-24 May 2026, Singapore, Singapore}, publisher={EAI}, proceedings_a={ICIAAI}, year={2026}, month={8}, keywords={Prospective memory; Diary Research; Semi-structured Interview; Human-computer interaction framework}, doi={10.4108/eai.22-5-2026.2365081} }- Yaoxuan Cheng
Year: 2026
A Mechanism-Based Design Framework for Prospective Memory Failures in Human–Computer Interaction
ICIAAI
EAI
DOI: 10.4108/eai.22-5-2026.2365081
Abstract
In the context of highly fragmented digital attention, existing time- or location-based reminder mechanisms struggle to effectively support prospective memory in complex situations. To address this shortcoming, this paper focuses on the state changes and human-computer behavioral differences during the formation, maintenance, triggering, and execution of intentions, identifying the disconnect between the two, and laying the foundation for future research. This study adopted the research methods of diary studies and semi-structured interviews, selecting a total of 20 participants. After conducting prospective memory journey mapping and analysis, a mismatch mechanism model between humans and systems in prospective memory failure was obtained. Based on this, a human-computer interaction design framework for prospective memory failure was proposed, providing a design perspective for state sensitivity and entry points for reminder systems and intelligent assistants.
