culinary intelligence: fusing data sets to make complex information actionable
DESCRIPTION
Culinary Intelligence: Fusing Data Sets to make Complex Information Actionable. Dave Warner, M.D., Ph.D. MindTel, LLC. & Arizona State University. Mill Avenue – Between Apache Blvd. and Rio Salado. Culinary Intelligence …. Fusing Data Sets to make Complex Information Actionable. - PowerPoint PPT PresentationTRANSCRIPT
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Culinary Intelligence: Fusing Data Sets to make
Complex Information Actionable
Dave Warner, M.D., Ph.D.MindTel, LLC. & Arizona State University
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Mill Avenue – Between Apache Blvd. and Rio Salado
Fusing Data Sets
to make
Complex Information Actionable
43 Restaurants on
Mill Ave in Tempe, Arizona
Culinary Intelligence…
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The challenge…• To illustrate how to integrate massive amounts of
complex data into a system whereby one can make rapid high-confidence decisions about where to eat.
– Can we identify replicable processes that facilitate rapid decision-making?
– Can we find mechanisms for determining and articulating what factors are important to decision-making from massive amounts of complex data?
– Can we figure out how to portray this information to the human system in ways that minimize decision-making pathologies (paralysis, over analysis etc)?
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Chili’s – Mexican Cuisine
Chili’s - Mexican Cuisine and BarRuby Tuesday’s – American Cuisine-BarJack in the Box – Fast FoodThe Bamboo Club – Asian CuisineMill Cue Club – Bar and Billiards Zuma Grill – Chicken and GrillSlices - PizzaBison Witches – SandwichesMy Big Fat Greek – Greek CuisineLa Pita – Middle Eastern PitaThe Library – Bar and GrillHooters – Hamburgers and Chicken WingsOwl’s Nest – Bar and GrillSuite 301 – Bar and GrillRA – Japanese SushiCorleone’s – Philly Cheese SteaksRula Bula – Irish PubBoxty House Restaurant – Irish Home
Monti’s – SteaksMill’s End – Coffee and SnacksQuiznos – SandwichesCafé Boa – International CuisineThe Tavern – Bar and GrillMarguerite Rocks – Mexican CuisineSilver Mine Subs - SandwichesCoconut Club – Bar and GrillMed Fresh Grill – Turkish CuisineTaco Del Mar – Fish TacosFat Burger - HamburgersRolerz – Iced DrinksStarbucks – CoffeeGordon Biersch – International CuisineThe Loft – Bar and GrillCold Stone Creamery – Ice CreamZ Tejas – Fine Mexican CuisineCoffee Plantation – Coffee DrinksFat Tuesday’s – Bar and GrillPizzeria Uno – Italian CuisineIslands - HamburgersGrilled Expeditions – International CuisinePF Changs – Chinese CuisineSahara – Middle Eastern CuisineLong Wongs - Chinese
43 Mill Avenue Restaurant Locations
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What we need to understand…• How do the best among us make these kinds of
decisions…– Does the thought process we go through influence the speed
and quality of our decision-making?• How we perceive and process information…
– Do the ways in which the information is displayed influence the speed and quality of our decision-making?
• How can we display or portray massive amounts of information in ways that accelerate our ability to achieve high quality decisions?
• Can these processes and tools be integrated and automated in ways that improve the speed and quality of our decision-making?
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Mill Avenue Image Storage
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Mill Avenue Demographics• ASU Student• ASU Staff• Local Resident• Local Business Employee• Local Government Employee• Local Professional• Out-of-Town Professional• Tourist• Vagrant• Other
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WiFi Hotspots
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Classes of information that might matter…
Reporting• Official Reporting/time
– Health reports– Construction records– Licensing data– Inspection data– crime
• News Reporting/Reviews/time– Trade journals– Popular Media
• Blog Reporting/time– Mavens– Self appointed experts
• Self Reporting/time– Menus/price– Daily Specials – Promotions– Food Logistics/Freshness/
Delivery times
Visual Information/time• Pictures
– External, Internal, Satellite,– Setting, people, food,
entertainment– Multispectral– Hyper spectral– IR (Hotspots)/Kitchen/food
• Renderings– 3D Lidar High Definition
Audio Information/time• Noise levels/time
– Internal– External
• Noise types/time– Crowd, Music, Male, Female,
other environmental noise (traffic, trains etc.)
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Mill Ave – EMF Readings
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EMF Readings• Mill Avenue EMF scan• University Avenue• east side 0• west side 1• thru crosswalk 0•• 7th Avenue• east side 1.8• west side 4• thru crosswalk 4• 6th Avenue• east side .6• west side 2• thru crosswalk 4• 5th Avenue• east side 1• west side 2• 10 in middle of intersection• 4th Avenue• east side 0• west side 0• thru crosswalk 0
• Elevated location reading• Cricket Cellular 414 Mill Avenue, Suite 119• 15 at store window / 3 at sidewalk• Courtyard Shops (adjacent to Cricket Cellular)• 2.5 (average) on sidewalk in front of building• Cold Stone 510 Mill Avenue• 2 along sidewalk• Cookiez (adjacent to Cold Stone)• 3 along sidewalk• Those Where the Days• 8 along sidewalk• Old Town Books• 10 along sidewalk• Mood Swings• 2 along sidewalk• Fat Tuesdays• 2 along sidewalk• Chester's Harley Davidson, Suite 120 and adjacent
empty suite 125• 4 along sidewalk
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Affymetrix Chip Food Analysis
Green = Cy3
Red = Cy5
Yellow = both
Black = none
= chicken + salmonella?
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Classes of information that might matter…
Kinesthetic Information• Textures and Texture variance• Architecture• Physical cleanliness• Physical orderliness• Proximate parking
Emotional Information• Neighborhood • Coolness• Popularity• Exclusiveness• Newness• Quality• Chef Quality• Wine List Quality
Olfactory Information• Affiliate Aerosols
– Internal– External
• Proximate Aerosols– Positive– Negative
Geospatial Information• Location-Location-Location• Proximity to other things of interest• Traffic analysis
Personal Interest Data• Where are my friends?• What do my friends like?• What do I really enjoy doing
before/after eating?
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Perimeter Security
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What do we do when we are exposed to massive amounts of complex information…
SoldierAnalystDoctor
PilotPoliceman
Decision-making paralysis, over-analysis, confusion and shutting down… are all hallmarks of information overload…
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Culinary IntelligenceDave Warner, M.D., Ph.D.
MindTel-ASU Study
- Culinary Intelligence is a metaphor for diverse Cultural Reconnaissance with Social Analysis and Interpretation.
- Fusing Data Sets to make Complex Information Actionable.
- Mill Ave Restaurants as a dataset with objective and subjective processes that determine selection criteria.
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Conceptual Investigators
• Kevin Baugh• Steve Birch, Ph.D.• Michael Hennig• Bill Rojas, Ph.D.