BetterPlanet: Sustainability Feedback from Digital Receipts
Journal
Advances in Mobile Computing and Multimedia Intelligence
Lecture Notes in Computer Science
Series
13634
Type
book section
Date Issued
2022
Author(s)
Research Team
Interactions Research Group
Abstract
The global food system accounts for 25–30% of anthropogenic greenhouse gas emissions. A large share of these emissions is due to individual food shopping patterns. Despite the rising concern about the environment, many individuals fail to act upon it and change their food consumption. In this study, we attempt to motivate individuals to reduce their food-shopping-induced environmental footprint. To narrow the intention-behavior gap, we propose a novel technical system that gives automated near-term sustainability feedback on individuals’ food shopping recorded on digital receipts and communicates this feedback through the mobile application BetterPlanet, Based on a small sample (n = 8), we find a directional decrease in the overall CO2-Scores. Therefore, our study demonstrates the technical feasibility of automated sustainability feedback from digital receipts. The proposed energy-weighted CO2-Scoring Model contributes to the growing knowledge body of sustainability assessment.
Funding(s)
SNSF 188402
Language
English (United States)
Keywords
Greenhouse gas emission
Digital receipts
Data portability
Food shopping behavior
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher
Springer
Start page
102
End page
107
Pages
7
Official URL
Subject(s)
Division(s)
File(s)![Thumbnail Image]()
Name
978-3-031-20436-4_10.pdf
Size
482.14 KB
Format
Adobe PDF
Checksum (MD5)
be78e6b0faa9be9ee9a50c9844e54b9b