🪵 Behavioral log studies §

= form of 🕶 Objective Measuring for analyzing 🪵 Behavioral log data for Empirical Measuring (qualitative or quantitative)

How to get data? §

• modify existing user tools
• build additional software

What to do with it? §

1. 🧹 Data cleaning
2. 🍰 Data Partitioning

👍 Pros §

• understand user → increase 🔧 Utility → improves system
• understand yourself → analyze e.g. your own Google data
• understand society

👎 Cons §

• huge amounts of (irrelevant) data → 🧹 Data cleaning
• DSGVO and privacy issues (e.g. AOL Search Dataset debacle)
• Can’t learn: People’s intent/success/experience… → no 🗣 Subjective Measuring → combine with other methods of Empirical Measuring