Framing and reframing in design: the use of an NLP-based memory model
Year: 2026
Type: article
Abstract: ABSTRACT: This study introduces an NLP-based Memory Model that structures how framing and reframing evolve throughout design. Grounded in constructive and situated memory theories, it models memory as a dynamic system of activation and decay, enabling measurement of the number and semantic value of frames in design discourse. Analyses of architecture students’ sessions show framing peaks during exploration and declines as solutions stabilize. They also show semantic diversity cycles through expansion and narrowing, revealing framing as a continuous, memory-driven reinterpretive process.
Authors: Hernan Casakin, Anat Goldstein, John S. Gero
Institutions: Ariel University, Drexel University
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid:
OpenAlex ID: W7167032775