Mueller, Florian 'Floyd';
Obrist, Marianna;
Bertran, Ferran Altarriba;
Makam, Neharika;
Kim, Soh;
Dawes, Christopher;
Marti, Patrizia;
... Wang, Yan; + view all
(2024)
Grand challenges in human-food interaction.
International Journal of Human-Computer Studies
, 183
, Article 103197. 10.1016/j.ijhcs.2023.103197.
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Abstract
There is an increasing interest in combining interactive technology with food, leading to a new research area called human-food interaction. While food experiences are increasingly benefiting from interactive technology, for example in the form of food tracking apps, 3D-printed food and projections on dining tables, a more systematic advancement of the field is hindered because, so far, there is no comprehensive articulation of the grand challenges the field is facing. To further and consolidate conversations around this topic, we invited 21 HFI experts to a 5-day seminar. The goal was to review our own and prior work to identify the grand challenges in human-food interaction. The result is an articulation of 10 grand challenges in human-food interaction across 4 categories (technology, users, design and ethics). By presenting these grand challenges, we aim to help researchers move the human-food interaction research field forward.
| Type: | Article |
|---|---|
| Title: | Grand challenges in human-food interaction |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.ijhcs.2023.103197 |
| Publisher version: | https://doi.org/10.1016/j.ijhcs.2023.103197 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Human-food interaction, Eating, Grand challenges, Interactive technology |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10183120 |
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| 2. |  United Kingdom | 1 |
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| 5. |  Russian Federation | 1 |
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