Research Case Study

Designing an Interactive Eco-Feedback Environment

A combined feedback + persuasive technology for recycling. Designed and evaluated with a sample from Athens, GA, built on the insight that awareness alone doesn't change behavior unless paired with action, place, and reward.

Springer CCIS, vol. 1224
Publication
July 2020
Published
HCII 2020
Conference

With Delaram Yazdansepas · University of Georgia, Dept. of Computer Science · Athens, GA

01 The Problem

Eco-feedback tools show you the damage. Persuasive tools nudge you toward better behavior. On their own, neither one sustains a habit. The bigger problem hiding underneath: most people don't know what's actually recyclable where they live, in our survey, 76% of participants didn't know recycling rules vary by location. Awareness without local accuracy means good intentions still send the wrong material into the bin.

02 Key Research Insights
01

Recycling is local, and most people don't know it

76% of surveyed participants didn't know recycling rules differ by location. Any system that ignores place will keep producing well-intentioned contamination.

02

Incentives in, penalties out

Participants told us reward, especially financial, would keep them using the product. Penalties did the opposite: they'd push people away entirely, even if they worked short-term.

03

Feedback + persuasion > either alone

Feedback tools show impact without a plan. Persuasive tools nudge behavior without showing why. Combining them, and adding community visibility, beat both in retention and accuracy.

03 The Concept

Smart Recycle, a sensor-equipped bin that teaches as you use it

One physical bin, four internal sections, one shared screen. Sensors detect what's being thrown in and compare it against the local recycling center's rules (auto-detected by location or zip code). Correct items are positively reinforced; mistakes get a clear, in-the-moment correction with a short explanation.

  • Sensor-detected items, matched to local recycling rules
  • Immediate error correction with sound + on-screen message
  • Personal stats page, your cumulative environmental impact
  • Community comparison with other local households
  • Rewards page, earnable discounts via local-business partnerships
  • Voice UI for accessibility, optional, user-controlled
Read the full design rationale
Impact dashboard
Your cumulative recycling impact
9:41Recycle Smart
  • Recycled correctly
  • Misplaced
  • Compostable
Items recycled this week
Find a recycling spot
Pulls local center data by zip
9:41Recycle Smart
Total items recycled
1,247
  • Glass
  • Plastic
  • Paper
Local map
Routes to nearby drop-offs
9:41Recycle Smart
Item not recyclable
In-the-moment correction
9:41Recycle Smart
This item is not
compostable. Please try
again.
Search an item
Look up local recyclability
9:41Recycle Smart
Recycled successfully
Positive reinforcement
9:41Recycle Smart
Thank you
for recycling.
+20 pts
Community leaderboard
Local social proof
9:41Recycle Smart
My rankings4th
HouseholdItemsRank
Alex M.2,1401st
Jamie L.1,7652nd
Casey R.1,4023rd
You1,2474th
Taylor K.9885th
Smart Recycle bin
Hardware concept
04 Design Principles
Place-aware by default
Recycling rules differ by city. The system pulls local-center rules from the user's location so guidance is always accurate.
Feedback in the moment
Error correction happens at the bin, not in a weekly digest. The right time to teach is the moment of mistake.
Reward, not punish
Positive reinforcement and earnable local rewards. No penalties, surveys showed they'd drive users away long-term.
Community visibility
Compare your impact to other households nearby. Local social proof outperforms abstract global stats.
Multi-modal & effortless
Voice UI for accessibility; the core task (recycling) requires zero screen interaction. The screen is for those who want it.
05 Research Methods
Qualtrics survey, Athens, GA
Think-aloud evaluation
Heuristic / cognitive walkthrough
GOMS analysis
Interactive prototype testing
Semi-structured interviews
Quantitative comparison vs control
Literature review
06 Research & Design Explorations

End-to-end interaction flow

From approach to feedback to long-term community impact, the full Smart Recycle journey.

01 · TRIGGER 02 · SENSING + MATCHING 03 · OUTCOME 04 · RESPONSE User recycles an item at the Smart Recycle bin CORE LOGIC Sensors identify the item Material + shape detection Auto-detect zip / location Match to local recycling rules CORRECT INCORRECT STATUS Item placed in the correct section Sound + visual cue Wrong slot, or not recyclable here Why? + What to do? prompt User opens their stats dashboard Voice UI optional RESPONSE Points + rewards Local-business perks RESPONSE In-moment correction User retries, habit forms RESPONSE Community ranking Compare with nearby homes Continuous feedback loop, every action improves the next one

Low-fidelity wireframes

Exploring layout, hierarchy and content structure.

Feedback & guidance

Designing clear, supportive error prevention states.

Not accepted

Community & rewards

Gamification and local engagement concepts.

Leaderboard 2 1 3

Impact visualization

Making environmental impact visible & relatable.

Your Impact Over Time
07 Impact & Future Vision

In evaluation, users were significantly more precise with their recycling using Smart Recycle than with a standard bin. The bin is one piece, the larger goal is an interactive eco-feedback environment where every technology you touch makes the sustainable choice the easy one.