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Shelfie
- Source :
- ACM Transactions on Computer-Human Interaction. 27:1-52
- Publication Year :
- 2020
- Publisher :
- Association for Computing Machinery (ACM), 2020.
-
Abstract
- Self-monitoring devices are becoming increasingly popular in the support of physical activity experiences. These devices mostly represent on-screen data using numbers and graphs and in doing so, they may miss multi-sensorial methods for engaging with data. Embracing the opportunity for 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 conceptual understanding of relationships between material representation and physical activity data and contribute guidelines to the design of meaningful material representations of physical activity data.
- Subjects :
- Computer science
05 social sciences
Physical activity
020207 software engineering
02 engineering and technology
Physical visualization
Personal informatics
Human-Computer Interaction
Conceptual framework
Human–computer interaction
0202 electrical engineering, electronic engineering, information engineering
Self-monitoring
Key (cryptography)
0501 psychology and cognitive sciences
Representation (mathematics)
050107 human factors
Subjects
Details
- ISSN :
- 15577325 and 10730516
- Volume :
- 27
- Database :
- OpenAIRE
- Journal :
- ACM Transactions on Computer-Human Interaction
- Accession number :
- edsair.doi...........a3c0a373241615c58ec6b1d33ee61532
- Full Text :
- https://doi.org/10.1145/3379539