Improving Waste Sorting Behavior in Communal Spaces Through Design Intervention

This study investigates whether affordance-driven bin design can improve waste sorting behavior in low-engagement communal spaces. Grounded in the Elaboration Likelihood Model and Hartson’s User Action Framework, we derived three intervention types (Attention, Instantly Recognizable, and Goal Visualization) and evaluated them in a field study on the third floor of Building 49, S University. Disposal cases report observational outcomes. Under the Attention intervention, 17 disposal cases were recorded, and one case was sorted correctly. After applying unified iconography and color connectivity in the Instantly Recognizable stage, 279 disposal cases were recorded: 111 of 163 recyclable cases were sorted correctly (68%). Disposable cup sorting improved from 0 of 2 cup cases in Attention to 22 of 39 cup cases in Instantly Recognizable. Constraint and alternative interventions produced further gains: constraint designs increased sorting to approximately 82 percent for observed recyclable cases under that condition, and a dedicated liquid-only bin yielded an overall success rate of 78 percent and a 97 percent success rate for disposable cups (31 of 32). The results indicate that attention-capturing cues must be paired with clear, low-effort informational affordances, and that alternatives or constraints are effective for changing entrenched habits. The study is exploratory and limited to a single site. Future work should replicate the model across other sites and independently test the induction element.

Authors

Publication Details

Journal
Design Works
Published
2025-12-31
DOI
https://doi.org/10.15187/dw.2025.12.8.4.7
Primary Topic
Municipal Solid Waste Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improving Waste Sorting Behavior in Communal Spaces Through Design Intervention

Eui-Chul Jung, Hyewon Kim
Design Works
Municipal Solid Waste Management
article

Improving Waste Sorting Behavior in Communal Spaces Through Design Intervention

Eui-Chul Jung, Hyewon Kim
article en

Abstract

This study investigates whether affordance-driven bin design can improve waste sorting behavior in low-engagement communal spaces. Grounded in the Elaboration Likelihood Model and Hartson’s User Action Framework, we derived three intervention types (Attention, Instantly Recognizable, and Goal Visualization) and evaluated them in a field study on the third floor of Building 49, S University. Disposal cases report observational outcomes. Under the Attention intervention, 17 disposal cases were recorded, and one case was sorted correctly. After applying unified iconography and color connectivity in the Instantly Recognizable stage, 279 disposal cases were recorded: 111 of 163 recyclable cases were sorted correctly (68%). Disposable cup sorting improved from 0 of 2 cup cases in Attention to 22 of 39 cup cases in Instantly Recognizable. Constraint and alternative interventions produced further gains: constraint designs increased sorting to approximately 82 percent for observed recyclable cases under that condition, and a dedicated liquid-only bin yielded an overall success rate of 78 percent and a 97 percent success rate for disposable cups (31 of 32). The results indicate that attention-capturing cues must be paired with clear, low-effort informational affordances, and that alternatives or constraints are effective for changing entrenched habits. The study is exploratory and limited to a single site. Future work should replicate the model across other sites and independently test the induction element.

Design WorksVol. 8(4)
Openalex Percentile: Top 34%
Municipal Solid Waste Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Improving Waste Sorting Behavior in Communal Spaces Through Design Intervention — Eui-Chul Jung, Hyewon Kim · Design Works (2025) | TGRS Research Map | TGRS