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Paper Title
Presenter:Advocate:
Devil’s Advocate:
NAMENAMENAME
Date
Context
• XX% of office buildings have coffee makers in the kitchen
Motivation / Problem Statement
• YY hours of productive work are lost due to sleepiness
• Studies show that proper caffeine levels can improve productivity in sleepy people
Prior Art
• Today, people adjust their own caffeine levels by adding more/less coffee beans
• However:– People cannot precisely regulate caffeine levels– Sleepy people are the least precise– Recent trends in pre-packaged coffee make
regulation even less likely
Claim
A coffee maker that detects sleepiness levels through voice analysis
and precisely optimizes coffee strength will increase productivity
in office environments over manual coffee making
Approach
• Voice sensors• Tiredness detection• Coffee optimizer
Experimental Setup
• Dependent variable• Independent variable• Baseline• Ground truth• Bounds• Analysis
Results
• In the study, people in the test group had ZZ% more productivity
Conclusion
• If adopted in all office buildings in the US, the smart coffee maker would recover AA productive work hours and save BB billions of dollars for industry