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CSE 440: Introduction to HCI User Interface Design, Prototyping, and - PowerPoint PPT Presentation

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CSE 440: Introduction to HCI User Interface Design, Prototyping, and Evaluation Lecture 01: James Fogarty Introduction and Kailey Chan Personal Informatics Dhruv Jain Nigini Oliveira Tuesday / Thursday Chris Seeds 12:00 to 1:20 Jihoon

  1. Assignment 1a: Project Brainstorm You have an assignment due tonight: https://courses.cs.washington.edu/courses/cse440/17au/assignments/assignment1/ Propose 3 project domains, problems, goals: These are starting points for brainstorming Submit online: This proves that you did your preparation If unable to access Canvas, submit via email Bring to section Friday: You have a lot more brainstorming ahead of you

  2. Assignment 1a: Project Brainstorm

  3. Assignment 1b: Project Proposal You have an assignment due Monday night: https://courses.cs.washington.edu/courses/cse440/17au/assignments/assignment1/ One page of text: Problem and Motivation Analyze the problem or idea (e.g., a scenario) Submit online: Sponsored Projects will be posted for bidding

  4. Assignment 1b: Project Proposal

  5. Overview HCI and the Project Sequence Course Staff Introductions Administrivia Assignment 1: Project Proposal Assignment 1a: Due for Friday Assignment 1b: Due for Tuesday Some Reflection Self-Tracking and Relevant Background

  6. Some Reflection This will not be an easy course Students have said this was their most intense course You have two deadlines per week, every week But I believe in everything that is included This course challenges some aspects of what the CSE curriculum has taught you is important It will be what you make it

  7. People Really Get It “Very good class that every engineer should have to take. Good perspectives and made me think outside my comfort zone .” “The focus on projects and fieldwork was very well suited to my learning style. I greatly enjoyed this format. The theory and techniques taught in class were directly applicable to the projects we were doing and were usually timed very well. That is, usually the topics presented in lecture were relevant to the current deliverable or the next deliverable.”

  8. People Really Get It “I can't believe I'm saying this, but I found the lectures a huge part of what I learned in this course. They were useful and organized, and each one had a clear message and topic. The assignments were an excellent extension of these themes .” “Fieldwork and iterative assignments really taught me how important the design process is .”

  9. Group Work is Hard Work “the project placed groups in a realistic situation and forced us to work together effectively and practice relevant concepts/strategies” “The group work was distracting because of the lack of unity and sense of purpose. We all had different priorities and purposes for taking the class and this made it really hard to be on the same page for the project which was the biggest part of this class.”

  10. Group Work is Hard Work “Have groups do a team charter - outlining what they expect from one another as teammates. I took a project management course and when working in a group with individuals you've never worked with, the team charter may help break the ice easier when everyone can say what their expectations are .” “… I think that working effectively as a team was the most challenging part of this class …”

  11. And it is not for Everybody

  12. Adding and Dropping Attempting to Add Must talk to me after class Will email today, attempt to finalize quickly Must enforce a hard enrollment cap Considering Dropping Do so before we assign teams, and tell us Section switch availability We may need help in balancing sections

  13. Overview HCI and the Project Sequence Course Staff Introductions Administrivia Assignment 1: Project Proposal Assignment 1a: Due for Friday Assignment 1b: Due for Tuesday Some Reflection Self-Tracking and Relevant Background

  14. Thousands of Health Monitoring Apps

  15. Activity and Medical Sensing Devices Thermometer Heart rate monitor Blood pressure monitor Blood glucose meter

  16. Medical Implants NeuroPace

  17. Sustainability Tracking Belkin Kill A Watt WeMo Water Automatic

  18. Location and Activity FitBit Moves Garmin FitBark

  19. Time Tracking RescueTime

  20. Finances Mint You Need a Budget

  21. Background in Personal Informatics Some Definitions What is the Point? What is the Problem? Chester, T. (2013). The Sunday Times . “You Are Just a Number”

  22. What is Personal Informatics “We define personal informatics systems as those that help people collect personally relevant information for the purpose of self-reflection and gaining self-knowledge. There are two core aspects to every personal informatics system: collection and reflection.” Li I., Dey A., Forlizzi J. CHI 2010. “A Stage-Based Model of Personal Informatics Systems”

  23. What is Quantified Self “The Quantified Self is an international collaboration of users and makers of self-tracking tools.” “Our aim is to help people get meaning out of their personal data.” “Self knowledge through numbers.” Wolf G. (2009). Wired Magazine . “Know Thyself: Tracking Every Facet of Life, from Sleep to Mood to Pain, 24/7/365”

  24. What is the Point? Gnothi seauton “Know thyself”

  25. Leonardo da Vinci Leonardo da Vinci Odometers on the left Pedometer on the right To track troop activities

  26. Benjamin Franklin Temperance Silence Order Resolution Frugality Industry Sincerity Justice Moderation Cleanliness Tranquility Chastity Humility

  27. Benjamin Franklin

  28. Manpokei 万歩計

  29. Five-Stage Model of Personal Informatics Li I., Dey A., Forlizzi J. CHI 2010. “A Stage-Based Model of Personal Informatics Systems”

  30. Five-Stage Model of Personal Informatics Alice 20 years old Has a family history of heart disease Wants to be more active Does not know how, because she is busy Li I., Dey A., Forlizzi J. CHI 2010. “A Stage-Based Model of Personal Informatics Systems” 84

  31. Preparation Li I., Dey A., Forlizzi J. CHI 2010. “A Stage-Based Model of Personal Informatics Systems”

  32. Preparation Li I., Dey A., Forlizzi J. CHI 2010. “A Stage-Based Model of Personal Informatics Systems”

  33. Collection Li I., Dey A., Forlizzi J. CHI 2010. “A Stage-Based Model of Personal Informatics Systems” 87

  34. Integration M T W H F Sa Su M T Li I., Dey A., Forlizzi J. CHI 2010. “A Stage-Based Model of Personal Informatics Systems” 88

  35. Reflection Active Inactive Inactive M T W H F Sa Su M T Li I., Dey A., Forlizzi J. CHI 2010. “A Stage-Based Model of Personal Informatics Systems” 89

  36. Action Walk in park instead of watching TV M T W Th F Sa Su M T Li I., Dey A., Forlizzi J. CHI 2010. “A Stage-Based Model of Personal Informatics Systems” 90

  37. Five-Stage Model of Personal Informatics Li I., Dey A., Forlizzi J. CHI 2010. “A Stage-Based Model of Personal Informatics Systems”

  38. What is the Problem? Examining serious self-trackers, as they represent the early adopters Choe E.K., Lee N.B., Lee B., Pratt W., Kientz J.A. CHI 2014. “Understanding Quantified Selfers ’ Practices in Collecting and Exploring Personal Data”

  39. Quantified Self Talk Format 1. What I did 2. How I did it 3. What I learned Analyzed 52 videos Choe E.K., Lee N.B., Lee B., Pratt W., Kientz J.A. CHI 2014. “Understanding Quantified Selfers ’ Practices in Collecting and Exploring Personal Data”

  40. Analysis Visualizations Themes Profiles Choe E.K., Lee N.B., Lee B., Pratt W., Kientz J.A. CHI 2014. “Understanding Quantified Selfers ’ Practices in Collecting and Exploring Personal Data”

  41. What do they Track? A Diabetic Experience with Self-Quantification Analyzing My Cancer Data Going Vegan in December Self-tracking Improving Skin Health is more than Cognitive Performance just buying 15 Weeks of Self-Tracking a FitBit Diabetes, Exercise, and QS Experience Sampling of My Stress Hacking Your Subconscious Mind Choe E.K., Lee N.B., Lee B., Pratt W., Kientz J.A. CHI 2014. “Understanding Quantified Selfers ’ Practices in Collecting and Exploring Personal Data”

  42. Motivations for Tracking Motivations Sub-categories To improve health To cure or manage a condition To achieve a goal To find triggers To answer a specific question To identify relationships To execute a treatment plan To make better health decisions To find balance To improve other aspects of life To maximize work performance To be mindful To find new life experiences To satisfy curiosity and have fun To explore new things To learn something interesting Choe E.K., Lee N.B., Lee B., Pratt W., Kientz J.A. CHI 2014. “Understanding Quantified Selfers ’ Practices in Collecting and Exploring Personal Data”

  43. Data Collection and Exploration Tools Data Collection Tool % (#) Data Exploration Tool % (#) Commercial hardware 56% (29) Spreadsheet 44% (23) Spreadsheet 40% (21) Custom software 35% (18) Custom software 21% (11) Commercial website 27% (14) Pen and paper 21% (11) Commercial software 12% (6) Commercial software 19% (10) Open-source platform 8% (4) Commercial website 10% (5) Statistical software 4% (2) Camera 6% (3) Pen and paper 2% (1) Open-source platform 6% (3) Custom hardware 4% (2) Other 10% (5) Choe E.K., Lee N.B., Lee B., Pratt W., Kientz J.A. CHI 2014. “Understanding Quantified Selfers ’ Practices in Collecting and Exploring Personal Data”

  44. Building Custom Tools Captures smile via wearable sensing Captures snoring via mobile app Provides real-time feedback Provides data visualization Choe E.K., Lee N.B., Lee B., Pratt W., Kientz J.A. CHI 2014. “Understanding Quantified Selfers ’ Practices in Collecting and Exploring Personal Data”

  45. Custom Visualizations Choe E.K., Lee N.B., Lee B., Pratt W., Kientz J.A. CHI 2014. “Understanding Quantified Selfers ’ Practices in Collecting and Exploring Personal Data”

  46. Why are they Building Custom Tools? Desirable features are not supported Collect and reflect on the data using a single tool Perform self-experimentation Barriers to success Tracking too many things Not tracking triggers and context Lacking scientific rigor Choe E.K., Lee N.B., Lee B., Pratt W., Kientz J.A. CHI 2014. “Understanding Quantified Selfers ’ Practices in Collecting and Exploring Personal Data”

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