EdiPulse: supporting physical activity with chocolate printed messages

Rohit Ashok Khot, Ryan Pennings, Florian 'Floyd' Mueller

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

33 Citations (Scopus)


Designing to support physical activity is a growing field of interest in interaction design. However, existing explorations in this area have mostly focused on using screens to graphically report physical activity data such as heart rate. The use of edible mediums such as 3D printed food for representing such data opens up new possibilities and challenges to push the field forward. Supporting this, we present EdiPulse that 3D prints in chocolates, personalized cheerful messages and emoticons, displaying heart rate data from physical activity session. By varying the thickness of the printed letters and emoticons, the system also supports abstract visualization of the heart rate data, while the printed chocolate incentivizes participation in physical activity. Ultimately, with this work, we aim to inspire and guide design thinking on food printing and edible quantified self representations, which we believe opens up new interaction possibilities to support the physical activity experience. Copyright is held by the author/owner(s).

Original languageEnglish
Title of host publicationExtended Abstracts Publication of the 33rd Annual CHI Conference on Human Factors in Computing Systems
EditorsKori Inkpen, Woontack Woo
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages6
ISBN (Electronic)9781450331463
Publication statusPublished - 2015
Externally publishedYes
EventInternational Conference on Human Factors in Computing Systems 2015 - Seoul, Korea, South
Duration: 18 Apr 201523 Apr 2015
Conference number: 33rd
https://dl.acm.org/doi/proceedings/10.1145/2702123 (Proceedings)


ConferenceInternational Conference on Human Factors in Computing Systems 2015
Abbreviated titleCHI 2015
Country/TerritoryKorea, South
Internet address


  • 3D printing
  • Edible representations
  • Food HCI
  • Food printing
  • Physical activity
  • Quantified self

Cite this