Thesis seminar - Designing for cooks: interactive recipes for everyday use
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Thesis seminar - Designing for cooks: interactive recipes for everyday use



Presented August 2012 at UoY

Presented August 2012 at UoY



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Thesis seminar - Designing for cooks: interactive recipes for everyday use Thesis seminar - Designing for cooks: interactive recipes for everyday use Presentation Transcript

  • Designing for cooks: interactive instructions for everyday use Lucy Buykx
  • n My research investigates how cooks engage and interact with recipe instructions to inform the design of interactive recipe systems
  • Human-Food Interaction n Helping create the perfect recipe in the kitchen n CounterActive (Ju, Hurwitz, Judd & Lee 2001) n Augmented Reality Kitchen(Bonanni, Lee & Selker 2005) n Kitchen of the Future (Siio, Hamada, Mima 2005) n PersonalChef (Mennicken, Karrer, Russell, Borchers 2010) n panavi (Uriu, Namai, Tokuhisa, Kashiwagi, Inami, Okude 2012)
  • not just cooking... n Shopping, meal planning n integrating persuasive & social media n healthy eating, local food, sustainability
  • Initial studies with older adults n focus groups with 15 n food diaries with 12 n n meals & shopping for 7 days home interviews
  • Initial studies with younger adults n questionnaire & interviews n n 80% collected recipes 11% used interactive technology
  • Capturing Family Recipes for digital sharing across generations n n Lucy Buykx, Helen Petrie, Paul Cairns include 2011, Helen Hamlyn Centre for Design
  • n Contribution is innovative technology in the kitchen n Little theory behind claims n Low quality evaluations
  • n Research questions: n What problems do cooks experience working with recipes? n What factors cause problems? n How can interactive design mitigate these?
  • Procedural instructions n n n step-by-step little explanation of how the system works can be used without prior knowledge
  • Recipe instruction set n title n list of ingredients n preparation instructions n method instructions n meta-data
  • Guidelines for procedural instructions for initial use (Ganier 2004) n “Segmented text... numbered steps rather than paragraphs” n “Chronological linear organisation” n “Use pictures together with text” n “Use headings fitting to goals or sub-goals”
  • Experiments x 2 n 24 cooks, 3 recipes n 2 experimental conditions + control n Videoed and analysed n n Quantitative measures: time to complete, reading time, cooks’ ratings Qualitative analysis: comments and feedback during cooking, problems, errors made
  • Experiment 1 Experiment 2 Segmented instructions Segmented instructions with pictures Integrated, chronological instructions Semantic structured recipe with sub-goals Control Control
  • Exp1: Segmented instructions
  • Exp1: Integrated, chronological instructions
  • Integrated, chronological Control
  • Results mixed n n n n No timing differences or rating differences Cooks disliked long paragraph steps AND segmented steps Cooks did not move linearly, needed to understand context Cooks did not follow instructions perfectly
  • Papers at n Cooking & Eating Activities workshop IEEE MM CEA2011 n Food & Interaction Design workshop CHI2012 n Food for thought workshop DIS2012
  • Experiment 2 n Compared affect of n Segmented instructions with goal state pictures n Semantic structure with sub-goals n against control
  • Segmented instructions with goal-state pictures n Add the mince and carrot, and cook for about 8 minutes, stirring all the time, until the meat is nearly cooked.
  • n n n Drain the pasta Add the pasta to the meat sauce with a couple of tablespoons of the pasta water. Mix well, sauté for a minute.
  • Semantic structured recipe with sub-goals
  • Analysis ongoing n Structured recipe with sub-goals n n n rated easier to understand and better organised than control fewer errors Reliance on pictures - impact on validity
  • Conclusion n Instruction design can offer insights recipe design n n But cooking is complex domain Results show were existing interactive recipe systems are not helpful ... can inform more sophisticated design
  • Future research n Robust prototype to test in-home n Investigate recipe designs to support deviations n Work with semantic researchers to create on-thefly transformations