Designing ICT around Food Practices in the Digital Age
Informing and Filtering the Design Space of Food Practices to Support Diverse Instances of Eating Practices
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Human-Food Interaction (HFI), a subfield of Human-Computer Interaction (HCI), examines how technology shapes food practices, from shopping and cooking to eating and disposal. This book focuses on eating, particularly dining out, and explores the role of technology in these practices.Methodologically, it maps the design space by studying eating habits before, during, and after meals, the impact of COVID-19, and food influencers digital work. Observational studies, interviews, and social media analyses provide a rich foundation for understanding these dynamics.Additionally, the book refines the ...
Human-Food Interaction (HFI), a subfield of Human-Computer Interaction (HCI), examines how technology shapes food practices, from shopping and cooking to eating and disposal. This book focuses on eating, particularly dining out, and explores the role of technology in these practices.
Methodologically, it maps the design space by studying eating habits before, during, and after meals, the impact of COVID-19, and food influencers digital work. Observational studies, interviews, and social media analyses provide a rich foundation for understanding these dynamics.
Additionally, the book refines the design space through prototyping and evaluating three ICT artifacts, using participatory design and user studies. Findings offer insights into tailoring technology for diverse eating contexts, contributing to more context-aware and supportive food-related technologies.
Methodologically, it maps the design space by studying eating habits before, during, and after meals, the impact of COVID-19, and food influencers digital work. Observational studies, interviews, and social media analyses provide a rich foundation for understanding these dynamics.
Additionally, the book refines the design space through prototyping and evaluating three ICT artifacts, using participatory design and user studies. Findings offer insights into tailoring technology for diverse eating contexts, contributing to more context-aware and supportive food-related technologies.
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