CSCI 183 Lecture Notes - Lecture 3: Chris Tomlin, Missing Data, Creativity
4 Dec 2020
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Lecture, reading/chapter/novel/article during class, power point, movies (if need to collect info. ) Data analysis: look for useful behavior patterns in the mapped. Consider variables where the people did not appear together. Might be inconsistent: missing data: don"t make assumptions of how to map a piece of data, outliers that don"t fit target market should be looked. Unique characteristics and needs: consult with team if further research is warranted. No unique needs ignore: obtain more data if lacking, focus on the users. Def: gathering a group of people in a room to generate a bunch of possibilities: output is either: Ideas built on faulty assumptions, personal biases, etc: don"t critique so early. Welcome all ideas: have someone write it all down. Let everything flow out for planning later: develop scenarios to see all possible interactions and processes between user and design.
