학술논문

Shelfie: A Framework for Designing Material Representations of Physical Activity Data
Document Type
Academic Journal
Source
ACM Transactions on Computer-Human Interaction (TOCHI).
Subject
Language
English
ISSN
1073-0516
1557-7325
Abstract
Self-monitoring devices are becoming popular to support physical activity experiences. These devices mostly represent data on screen using numbers and graphs and in doing so, they may miss out on multisensorial ways of engaging with data. Embracing the opportunity of pleasurable interactions with one?s own data through the use of different materials and digital fabrication technology, we designed and studied three systems that turn this data into 3D printed plastic artifacts, sports drinks, and 3D printed chocolate treats. We utilize the insights gained from associated studies, related literature and our experiences in designing these systems to develop a conceptual framework, ?Shelfie?. The ?Shelfie? framework has 13 cards that convey key themes for creating material representations of physical activity data. Through this framework, we present a first conceptual understanding of the relationship between material representations and physical activity data and contribute guidelines on designing meaningful material representations of physical activity data.