SlideShare una empresa de Scribd logo
1 de 32
ImprovingAnalogiesfor Ideation: Whatis a Good Attribute? Stefan Knoll1 & Graham Horton1,2 1 Computer Science Dept., Magdeburg University 2 ZephramGbR
Motivation Innovation isnecessarytomaintaincompetitiveness Products and Services Marketing Applications Business Models Innovationsaredevelopedusing an innovationprocess. Thiscontainsseveralcollaborativeactivities, including … Ideageneration Ideaevaluation
Background University – Ourresearchinterest: Computer-Aided Innovation (Especiallycomputer-supportedideagenerationandevaluation) Zephram – Howwecreatevalue: Consulting andideationforinnovation Ourgoal: (Collaborative) innovationprocessesthatare … Effective Efficient Reliable
Our Position Webelieve in engineeredideationprocesses. Structured scriptsthataretailor-madeforeachideationtask Micro-managementofparticipants' cognitiveactivities Thisistheantithesisofclassicalbrainstorming! G. Kolfschoten, 06.01.11: "Structured cognitiveactivityreducescognitiveloadwhichleadstohigherefficiencyatsolvingcomplextasks."
Analogies Analogiesare an importantclassofideationtechniques. Theyhave a numberofsignificantadvantages. Theyarewidelyused. Masteryofanalogiesis essential forideationfacilitation!
The AnalogyTechnique Ideas Ideation task Task space Attributes Analogies Solutions Analogyspace
The AnalogyTechnique 1. Attribute  A supermarkethaslongwalls. 2. Analogy An artgallery also haslongwalls. 3. Solution  An artgalleryexhibitspictures. 4. Transfer Oursupermarketcoulddisplaypaintingsbylocalchildren.
Whatis a GoodIdea? A "good" ideashouldfulfill (at least!) thetwoconditions: Practicality Effectiveness An ideaispractical, …  ifitcanbeimplementedwiththeresourcesavailable. An ideaiseffective, …  ifitachievesitsgoalwhenimplemented.
RelevanceandTypicalness Wedefinetwoattributesoftaskattributes Relevance Typicalness An attributeof a taskisrelevant, … ifithas a significanteffect on thetask. An attributeof a taskistypical, … ifitischaracteristicofthetasksituation.
TwoHypotheses Hypothesis 1: Relevantattributeswill tendtoproducemoreeffectiveideas. Reasoning: Solutions havesuccessfullyovercome a commonproblem. Hypothesis 2: Typicalattributeswill tendtoproducemorepracticableideas. Reasoning: Solutions havebeenimplementedundersimilarcircumstances.
Two Attributes of Attributes Receives a large proportionofhouseholdincomes Has a very large selectionofproductsforsale Yes Typical Customers trytoget out asquicklyaspossible No Has a tiledfloor No Yes Relevant
Experimental Design Phase 1 2 peoplegenerated 81 attributes. 5 peoplecategorizedtheattributes (relevant/typical). Select 4x5 attributeswiththemostunanimousclassification. Phase 2 22 participantsweregivenrandomsubsetsoftheattributestogenerateapprox. 330 analogiesand 1222 ideas. Phase 3 3 peopleevaluatedthe 1222 ideas(effective/practicable)
Results Distribution ofthe 1222 ideasamongthefourcombinations: (N.B. 166/1222 is a 13% success rate!)
Results Do relevant attributesleadtomoreeffectiveideas? Yes, but not significantly
Results Do typicalattributesleadtomorepracticableideas? Yes, but not significantly
Interpretation Wefailedto find evidencetosupportourhypotheses. (Choosingattributesthatare relevant/typicaldoes not leadtoideasthatareeffective/practicable.) Whydidwe not gettheresultwewereexpecting? Attribute categoriesareambiguous. Disagreementon scoringofideas. Large degreeofrandomness (despite large sample size!) Therewereoftenmanypathstothegoodideas.
Data Analysis Wehad a completeprotocoloftheentireexperiment. Welookedatourdatatotryandgainsomeunderstanding.
One Attribute  ManyAnalogies Observation: Oneattributecanyieldmanyanalogies. AnalogiesfromtheattributePersonnelwears a uniform: Fast food restaurant  Hotel  Airline  Army  Police  Sports team Monastery  Factory  Church …
Many Attributes  OneAnalogy Observation: Manyattributescanleadtothe same analogy. Attributes thatledtotheanalogyCar Dealership: Eight different ones All combinationsofrelevant/typicalwererepresented. Thisanalogygenerated … thehighest-ratedidea someofthelowest-ratedideas
ManyAnalogies OneIdea Observation: Manyanalogiescanleadtothe same idea. Analogiesleadingtothe top ideaProvideSeating: Car dealership Tram Stadium Fast foodrestaurant Bookstore Restaurant  University canteen Bakery Medical practice …
ProductivenessofAnalogies # ideas per analogyfollows a longtaildistribution. The top 5 analogies are as productive as the bottom 150.
Equidistribution Cluster theanalogiesintolowandhighyieldsets. The practicabilityscoresofeachsethave a similardistribution.
Equidistribution Cluster the top 6 andbottom 158 analogiesbyyield. The effectivenessscoresofeachsethavesimilardistributions. The top 6 are slightly better.
Interpretation Whatdidwediscover? The score distributionsofideasgeneratedfromlow-yieldandhigh-yieldanalogiesaresimilar. Thisresultcontradictsstandardwisdom: "Useasmany different stimuliaspossible!" We do not yethave an explanationforthisphenomenon.
Interpretation Considerthecognitiveloadneededtoprocessanalogies Itismuchlowerfor 6 analogiesthanfor 158! Unfortunately, thisisofnopracticaluse. Wehavetogeneratetheideas in order todeterminewhichanalogiesarethemostproductive!
Attribute Quality Considerthe top 5% of all ideas. (Add theeffectivenessandpracticalityscores.) Determinefromwhichanalogiestheseideasweregenerated. Count theattributesthatledtoeachoftheseanalogies.
Quality ofAnalogies Result: Analogiesthatarereached via moreattributesgeneratemore top ideas.
Quality ofAnalogies Scatterplot ofanalogies Analogiesreached via moreattributesshow a smallervariance in ideaquality.
Conclusions Threepreliminaryconclusions: Relevant/typicalattributes do not leadtomoreeffective/practicableideas. A fewproductiveanalogiesareasgoodasmanylessproductiveones. Analogieswith lots ofgeneratingattributesarebetterthanthosewithfew.
PracticalConsequences Consider a computer-basedcollaborativeenvironment. The selectionoftheanalogiescouldbeautomated. Perhapsanalogiescouldevenbegeneratedautomatically. The Brainwriting versus Brainstorming question Attributes andanalogiesshouldbe in brainstormingmode. Cross cueingisimportant. Ideagenerationshouldbe in brainwritingmode. Avoidanceofcognitiveinterference
Evaluation Opennessofideationtask Perhapsit was too open forour original question. TRIZ provesthatattributeselectioncanbethekeytogeneratinggoodideas. A tighterproblemmightshowtheeffectwewerelookingfor. Further Work: Repeat the original experimentwith a tighterideationtask. Test thevalidityofthetwonewhypotheses.

Más contenido relacionado

Destacado

Owl butterfly. Mariposa búho
Owl butterfly. Mariposa búhoOwl butterfly. Mariposa búho
Owl butterfly. Mariposa búhoCachi Chien
 
Sport or Survival. Muay Thai Boxing for Children in Thailand
Sport or Survival. Muay Thai Boxing for Children in ThailandSport or Survival. Muay Thai Boxing for Children in Thailand
Sport or Survival. Muay Thai Boxing for Children in ThailandCachi Chien
 
El gaucho (Argentina)
El gaucho (Argentina)El gaucho (Argentina)
El gaucho (Argentina)Cachi Chien
 
Customer.pptx
Customer.pptxCustomer.pptx
Customer.pptxcruigrok
 
Violinist, David Garrett.
Violinist, David Garrett.Violinist, David Garrett.
Violinist, David Garrett.Cachi Chien
 
The ideal business idea
The ideal business ideaThe ideal business idea
The ideal business ideaZephram GbR
 
Satirical Illustration by Pawel Kuczynski
Satirical Illustration by Pawel KuczynskiSatirical Illustration by Pawel Kuczynski
Satirical Illustration by Pawel KuczynskiCachi Chien
 

Destacado (7)

Owl butterfly. Mariposa búho
Owl butterfly. Mariposa búhoOwl butterfly. Mariposa búho
Owl butterfly. Mariposa búho
 
Sport or Survival. Muay Thai Boxing for Children in Thailand
Sport or Survival. Muay Thai Boxing for Children in ThailandSport or Survival. Muay Thai Boxing for Children in Thailand
Sport or Survival. Muay Thai Boxing for Children in Thailand
 
El gaucho (Argentina)
El gaucho (Argentina)El gaucho (Argentina)
El gaucho (Argentina)
 
Customer.pptx
Customer.pptxCustomer.pptx
Customer.pptx
 
Violinist, David Garrett.
Violinist, David Garrett.Violinist, David Garrett.
Violinist, David Garrett.
 
The ideal business idea
The ideal business ideaThe ideal business idea
The ideal business idea
 
Satirical Illustration by Pawel Kuczynski
Satirical Illustration by Pawel KuczynskiSatirical Illustration by Pawel Kuczynski
Satirical Illustration by Pawel Kuczynski
 

Similar a Improving Analogies for Ideation: What is a Good Attribute?

Designing For Stigma: A Framework
Designing For Stigma: A FrameworkDesigning For Stigma: A Framework
Designing For Stigma: A FrameworkDan Miller
 
7 ideas on encouraging advanced analytics
7 ideas on encouraging advanced analytics7 ideas on encouraging advanced analytics
7 ideas on encouraging advanced analyticsMark Tabladillo
 
How To Choose A Jms
How To Choose A JmsHow To Choose A Jms
How To Choose A Jmsgtully
 
Optimization Group What We Do
Optimization Group What We DoOptimization Group What We Do
Optimization Group What We Dorcameron55
 
Lunch and Learn Artificial intelligence
Lunch and Learn Artificial intelligence Lunch and Learn Artificial intelligence
Lunch and Learn Artificial intelligence The PNR
 
UNLEASHING INNOVATION Exploring Generative AI in the Enterprise.pdf
UNLEASHING INNOVATION Exploring Generative AI in the Enterprise.pdfUNLEASHING INNOVATION Exploring Generative AI in the Enterprise.pdf
UNLEASHING INNOVATION Exploring Generative AI in the Enterprise.pdfHermes Romero
 
SoDA Analytics deck
SoDA Analytics deckSoDA Analytics deck
SoDA Analytics deckJon Gibs
 
Startup Opportunity Discovery & Evaluation (SXSW)
Startup Opportunity Discovery & Evaluation (SXSW)Startup Opportunity Discovery & Evaluation (SXSW)
Startup Opportunity Discovery & Evaluation (SXSW)Neal Cabage
 
X talks (前沿对话)
X talks (前沿对话)X talks (前沿对话)
X talks (前沿对话)Jessie Chuang
 
Taking Machine Learning from Batch to Real-Time (big data eXposed 2015)
Taking Machine Learning from Batch to Real-Time (big data eXposed 2015)Taking Machine Learning from Batch to Real-Time (big data eXposed 2015)
Taking Machine Learning from Batch to Real-Time (big data eXposed 2015)Elad Rosenheim
 
Agile data science
Agile data scienceAgile data science
Agile data scienceJoel Horwitz
 
What is Product Management
What is Product ManagementWhat is Product Management
What is Product ManagementMind the Product
 
Measuring Relevance in the Negative Space
Measuring Relevance in the Negative SpaceMeasuring Relevance in the Negative Space
Measuring Relevance in the Negative SpaceTrey Grainger
 
"Understanding Humans with Machines" (Arthur Tisi)
"Understanding Humans with Machines" (Arthur Tisi)"Understanding Humans with Machines" (Arthur Tisi)
"Understanding Humans with Machines" (Arthur Tisi)Maryam Farooq
 
Agile Marketing: Managing Marketing in a World of Constant Change
Agile Marketing: Managing Marketing in a World of Constant ChangeAgile Marketing: Managing Marketing in a World of Constant Change
Agile Marketing: Managing Marketing in a World of Constant Changeion interactive
 
Peter Shanley, Principal & Evangelist at Neo
Peter Shanley, Principal & Evangelist at Neo Peter Shanley, Principal & Evangelist at Neo
Peter Shanley, Principal & Evangelist at Neo Startup Product
 
Operationalizing Machine Learning in the Enterprise
Operationalizing Machine Learning in the EnterpriseOperationalizing Machine Learning in the Enterprise
Operationalizing Machine Learning in the Enterprisemark madsen
 
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING Goodbuzz Inc.
 
Customer insights for product strategy
 Customer insights for product strategy Customer insights for product strategy
Customer insights for product strategyjohanna kollmann
 

Similar a Improving Analogies for Ideation: What is a Good Attribute? (20)

Designing For Stigma: A Framework
Designing For Stigma: A FrameworkDesigning For Stigma: A Framework
Designing For Stigma: A Framework
 
7 ideas on encouraging advanced analytics
7 ideas on encouraging advanced analytics7 ideas on encouraging advanced analytics
7 ideas on encouraging advanced analytics
 
How To Choose A Jms
How To Choose A JmsHow To Choose A Jms
How To Choose A Jms
 
Optimization Group What We Do
Optimization Group What We DoOptimization Group What We Do
Optimization Group What We Do
 
Lunch and Learn Artificial intelligence
Lunch and Learn Artificial intelligence Lunch and Learn Artificial intelligence
Lunch and Learn Artificial intelligence
 
UNLEASHING INNOVATION Exploring Generative AI in the Enterprise.pdf
UNLEASHING INNOVATION Exploring Generative AI in the Enterprise.pdfUNLEASHING INNOVATION Exploring Generative AI in the Enterprise.pdf
UNLEASHING INNOVATION Exploring Generative AI in the Enterprise.pdf
 
SoDA Analytics deck
SoDA Analytics deckSoDA Analytics deck
SoDA Analytics deck
 
Startup Opportunity Discovery & Evaluation (SXSW)
Startup Opportunity Discovery & Evaluation (SXSW)Startup Opportunity Discovery & Evaluation (SXSW)
Startup Opportunity Discovery & Evaluation (SXSW)
 
X talks (前沿对话)
X talks (前沿对话)X talks (前沿对话)
X talks (前沿对话)
 
Taking Machine Learning from Batch to Real-Time (big data eXposed 2015)
Taking Machine Learning from Batch to Real-Time (big data eXposed 2015)Taking Machine Learning from Batch to Real-Time (big data eXposed 2015)
Taking Machine Learning from Batch to Real-Time (big data eXposed 2015)
 
Agile data science
Agile data scienceAgile data science
Agile data science
 
What is Product Management
What is Product ManagementWhat is Product Management
What is Product Management
 
Measuring Relevance in the Negative Space
Measuring Relevance in the Negative SpaceMeasuring Relevance in the Negative Space
Measuring Relevance in the Negative Space
 
"Understanding Humans with Machines" (Arthur Tisi)
"Understanding Humans with Machines" (Arthur Tisi)"Understanding Humans with Machines" (Arthur Tisi)
"Understanding Humans with Machines" (Arthur Tisi)
 
Agile Marketing: Managing Marketing in a World of Constant Change
Agile Marketing: Managing Marketing in a World of Constant ChangeAgile Marketing: Managing Marketing in a World of Constant Change
Agile Marketing: Managing Marketing in a World of Constant Change
 
Peter Shanley, Principal & Evangelist at Neo
Peter Shanley, Principal & Evangelist at Neo Peter Shanley, Principal & Evangelist at Neo
Peter Shanley, Principal & Evangelist at Neo
 
Cultures of prototyping
Cultures of prototypingCultures of prototyping
Cultures of prototyping
 
Operationalizing Machine Learning in the Enterprise
Operationalizing Machine Learning in the EnterpriseOperationalizing Machine Learning in the Enterprise
Operationalizing Machine Learning in the Enterprise
 
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
 
Customer insights for product strategy
 Customer insights for product strategy Customer insights for product strategy
Customer insights for product strategy
 

Último

Flow Your Strategy at Flight Levels Day 2024
Flow Your Strategy at Flight Levels Day 2024Flow Your Strategy at Flight Levels Day 2024
Flow Your Strategy at Flight Levels Day 2024Kirill Klimov
 
Call Girls Miyapur 7001305949 all area service COD available Any Time
Call Girls Miyapur 7001305949 all area service COD available Any TimeCall Girls Miyapur 7001305949 all area service COD available Any Time
Call Girls Miyapur 7001305949 all area service COD available Any Timedelhimodelshub1
 
Annual General Meeting Presentation Slides
Annual General Meeting Presentation SlidesAnnual General Meeting Presentation Slides
Annual General Meeting Presentation SlidesKeppelCorporation
 
Future Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted VersionFuture Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted VersionMintel Group
 
Investment in The Coconut Industry by Nancy Cheruiyot
Investment in The Coconut Industry by Nancy CheruiyotInvestment in The Coconut Industry by Nancy Cheruiyot
Investment in The Coconut Industry by Nancy Cheruiyotictsugar
 
International Business Environments and Operations 16th Global Edition test b...
International Business Environments and Operations 16th Global Edition test b...International Business Environments and Operations 16th Global Edition test b...
International Business Environments and Operations 16th Global Edition test b...ssuserf63bd7
 
8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCR8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCRashishs7044
 
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCRashishs7044
 
BEST Call Girls In Greater Noida ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Greater Noida ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,BEST Call Girls In Greater Noida ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Greater Noida ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,noida100girls
 
Pitch Deck Teardown: Geodesic.Life's $500k Pre-seed deck
Pitch Deck Teardown: Geodesic.Life's $500k Pre-seed deckPitch Deck Teardown: Geodesic.Life's $500k Pre-seed deck
Pitch Deck Teardown: Geodesic.Life's $500k Pre-seed deckHajeJanKamps
 
Global Scenario On Sustainable and Resilient Coconut Industry by Dr. Jelfina...
Global Scenario On Sustainable  and Resilient Coconut Industry by Dr. Jelfina...Global Scenario On Sustainable  and Resilient Coconut Industry by Dr. Jelfina...
Global Scenario On Sustainable and Resilient Coconut Industry by Dr. Jelfina...ictsugar
 
8447779800, Low rate Call girls in Saket Delhi NCR
8447779800, Low rate Call girls in Saket Delhi NCR8447779800, Low rate Call girls in Saket Delhi NCR
8447779800, Low rate Call girls in Saket Delhi NCRashishs7044
 
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,noida100girls
 
Kenya’s Coconut Value Chain by Gatsby Africa
Kenya’s Coconut Value Chain by Gatsby AfricaKenya’s Coconut Value Chain by Gatsby Africa
Kenya’s Coconut Value Chain by Gatsby Africaictsugar
 
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...lizamodels9
 
Organizational Structure Running A Successful Business
Organizational Structure Running A Successful BusinessOrganizational Structure Running A Successful Business
Organizational Structure Running A Successful BusinessSeta Wicaksana
 
Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...
Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...
Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...lizamodels9
 
Call Us 📲8800102216📞 Call Girls In DLF City Gurgaon
Call Us 📲8800102216📞 Call Girls In DLF City GurgaonCall Us 📲8800102216📞 Call Girls In DLF City Gurgaon
Call Us 📲8800102216📞 Call Girls In DLF City Gurgaoncallgirls2057
 
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCRashishs7044
 
Ten Organizational Design Models to align structure and operations to busines...
Ten Organizational Design Models to align structure and operations to busines...Ten Organizational Design Models to align structure and operations to busines...
Ten Organizational Design Models to align structure and operations to busines...Seta Wicaksana
 

Último (20)

Flow Your Strategy at Flight Levels Day 2024
Flow Your Strategy at Flight Levels Day 2024Flow Your Strategy at Flight Levels Day 2024
Flow Your Strategy at Flight Levels Day 2024
 
Call Girls Miyapur 7001305949 all area service COD available Any Time
Call Girls Miyapur 7001305949 all area service COD available Any TimeCall Girls Miyapur 7001305949 all area service COD available Any Time
Call Girls Miyapur 7001305949 all area service COD available Any Time
 
Annual General Meeting Presentation Slides
Annual General Meeting Presentation SlidesAnnual General Meeting Presentation Slides
Annual General Meeting Presentation Slides
 
Future Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted VersionFuture Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted Version
 
Investment in The Coconut Industry by Nancy Cheruiyot
Investment in The Coconut Industry by Nancy CheruiyotInvestment in The Coconut Industry by Nancy Cheruiyot
Investment in The Coconut Industry by Nancy Cheruiyot
 
International Business Environments and Operations 16th Global Edition test b...
International Business Environments and Operations 16th Global Edition test b...International Business Environments and Operations 16th Global Edition test b...
International Business Environments and Operations 16th Global Edition test b...
 
8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCR8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCR
 
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
 
BEST Call Girls In Greater Noida ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Greater Noida ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,BEST Call Girls In Greater Noida ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Greater Noida ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
 
Pitch Deck Teardown: Geodesic.Life's $500k Pre-seed deck
Pitch Deck Teardown: Geodesic.Life's $500k Pre-seed deckPitch Deck Teardown: Geodesic.Life's $500k Pre-seed deck
Pitch Deck Teardown: Geodesic.Life's $500k Pre-seed deck
 
Global Scenario On Sustainable and Resilient Coconut Industry by Dr. Jelfina...
Global Scenario On Sustainable  and Resilient Coconut Industry by Dr. Jelfina...Global Scenario On Sustainable  and Resilient Coconut Industry by Dr. Jelfina...
Global Scenario On Sustainable and Resilient Coconut Industry by Dr. Jelfina...
 
8447779800, Low rate Call girls in Saket Delhi NCR
8447779800, Low rate Call girls in Saket Delhi NCR8447779800, Low rate Call girls in Saket Delhi NCR
8447779800, Low rate Call girls in Saket Delhi NCR
 
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
 
Kenya’s Coconut Value Chain by Gatsby Africa
Kenya’s Coconut Value Chain by Gatsby AfricaKenya’s Coconut Value Chain by Gatsby Africa
Kenya’s Coconut Value Chain by Gatsby Africa
 
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
 
Organizational Structure Running A Successful Business
Organizational Structure Running A Successful BusinessOrganizational Structure Running A Successful Business
Organizational Structure Running A Successful Business
 
Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...
Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...
Call Girls In Radisson Blu Hotel New Delhi Paschim Vihar ❤️8860477959 Escorts...
 
Call Us 📲8800102216📞 Call Girls In DLF City Gurgaon
Call Us 📲8800102216📞 Call Girls In DLF City GurgaonCall Us 📲8800102216📞 Call Girls In DLF City Gurgaon
Call Us 📲8800102216📞 Call Girls In DLF City Gurgaon
 
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR
8447779800, Low rate Call girls in Kotla Mubarakpur Delhi NCR
 
Ten Organizational Design Models to align structure and operations to busines...
Ten Organizational Design Models to align structure and operations to busines...Ten Organizational Design Models to align structure and operations to busines...
Ten Organizational Design Models to align structure and operations to busines...
 

Improving Analogies for Ideation: What is a Good Attribute?

  • 1. ImprovingAnalogiesfor Ideation: Whatis a Good Attribute? Stefan Knoll1 & Graham Horton1,2 1 Computer Science Dept., Magdeburg University 2 ZephramGbR
  • 2.
  • 3. Motivation Innovation isnecessarytomaintaincompetitiveness Products and Services Marketing Applications Business Models Innovationsaredevelopedusing an innovationprocess. Thiscontainsseveralcollaborativeactivities, including … Ideageneration Ideaevaluation
  • 4. Background University – Ourresearchinterest: Computer-Aided Innovation (Especiallycomputer-supportedideagenerationandevaluation) Zephram – Howwecreatevalue: Consulting andideationforinnovation Ourgoal: (Collaborative) innovationprocessesthatare … Effective Efficient Reliable
  • 5. Our Position Webelieve in engineeredideationprocesses. Structured scriptsthataretailor-madeforeachideationtask Micro-managementofparticipants' cognitiveactivities Thisistheantithesisofclassicalbrainstorming! G. Kolfschoten, 06.01.11: "Structured cognitiveactivityreducescognitiveloadwhichleadstohigherefficiencyatsolvingcomplextasks."
  • 6. Analogies Analogiesare an importantclassofideationtechniques. Theyhave a numberofsignificantadvantages. Theyarewidelyused. Masteryofanalogiesis essential forideationfacilitation!
  • 7. The AnalogyTechnique Ideas Ideation task Task space Attributes Analogies Solutions Analogyspace
  • 8. The AnalogyTechnique 1. Attribute A supermarkethaslongwalls. 2. Analogy An artgallery also haslongwalls. 3. Solution An artgalleryexhibitspictures. 4. Transfer Oursupermarketcoulddisplaypaintingsbylocalchildren.
  • 9. Whatis a GoodIdea? A "good" ideashouldfulfill (at least!) thetwoconditions: Practicality Effectiveness An ideaispractical, … ifitcanbeimplementedwiththeresourcesavailable. An ideaiseffective, … ifitachievesitsgoalwhenimplemented.
  • 10. RelevanceandTypicalness Wedefinetwoattributesoftaskattributes Relevance Typicalness An attributeof a taskisrelevant, … ifithas a significanteffect on thetask. An attributeof a taskistypical, … ifitischaracteristicofthetasksituation.
  • 11. TwoHypotheses Hypothesis 1: Relevantattributeswill tendtoproducemoreeffectiveideas. Reasoning: Solutions havesuccessfullyovercome a commonproblem. Hypothesis 2: Typicalattributeswill tendtoproducemorepracticableideas. Reasoning: Solutions havebeenimplementedundersimilarcircumstances.
  • 12. Two Attributes of Attributes Receives a large proportionofhouseholdincomes Has a very large selectionofproductsforsale Yes Typical Customers trytoget out asquicklyaspossible No Has a tiledfloor No Yes Relevant
  • 13. Experimental Design Phase 1 2 peoplegenerated 81 attributes. 5 peoplecategorizedtheattributes (relevant/typical). Select 4x5 attributeswiththemostunanimousclassification. Phase 2 22 participantsweregivenrandomsubsetsoftheattributestogenerateapprox. 330 analogiesand 1222 ideas. Phase 3 3 peopleevaluatedthe 1222 ideas(effective/practicable)
  • 14. Results Distribution ofthe 1222 ideasamongthefourcombinations: (N.B. 166/1222 is a 13% success rate!)
  • 15. Results Do relevant attributesleadtomoreeffectiveideas? Yes, but not significantly
  • 17. Interpretation Wefailedto find evidencetosupportourhypotheses. (Choosingattributesthatare relevant/typicaldoes not leadtoideasthatareeffective/practicable.) Whydidwe not gettheresultwewereexpecting? Attribute categoriesareambiguous. Disagreementon scoringofideas. Large degreeofrandomness (despite large sample size!) Therewereoftenmanypathstothegoodideas.
  • 18. Data Analysis Wehad a completeprotocoloftheentireexperiment. Welookedatourdatatotryandgainsomeunderstanding.
  • 19. One Attribute  ManyAnalogies Observation: Oneattributecanyieldmanyanalogies. AnalogiesfromtheattributePersonnelwears a uniform: Fast food restaurant Hotel Airline Army Police Sports team Monastery Factory Church …
  • 20. Many Attributes  OneAnalogy Observation: Manyattributescanleadtothe same analogy. Attributes thatledtotheanalogyCar Dealership: Eight different ones All combinationsofrelevant/typicalwererepresented. Thisanalogygenerated … thehighest-ratedidea someofthelowest-ratedideas
  • 21. ManyAnalogies OneIdea Observation: Manyanalogiescanleadtothe same idea. Analogiesleadingtothe top ideaProvideSeating: Car dealership Tram Stadium Fast foodrestaurant Bookstore Restaurant University canteen Bakery Medical practice …
  • 22. ProductivenessofAnalogies # ideas per analogyfollows a longtaildistribution. The top 5 analogies are as productive as the bottom 150.
  • 23. Equidistribution Cluster theanalogiesintolowandhighyieldsets. The practicabilityscoresofeachsethave a similardistribution.
  • 24. Equidistribution Cluster the top 6 andbottom 158 analogiesbyyield. The effectivenessscoresofeachsethavesimilardistributions. The top 6 are slightly better.
  • 25. Interpretation Whatdidwediscover? The score distributionsofideasgeneratedfromlow-yieldandhigh-yieldanalogiesaresimilar. Thisresultcontradictsstandardwisdom: "Useasmany different stimuliaspossible!" We do not yethave an explanationforthisphenomenon.
  • 26. Interpretation Considerthecognitiveloadneededtoprocessanalogies Itismuchlowerfor 6 analogiesthanfor 158! Unfortunately, thisisofnopracticaluse. Wehavetogeneratetheideas in order todeterminewhichanalogiesarethemostproductive!
  • 27. Attribute Quality Considerthe top 5% of all ideas. (Add theeffectivenessandpracticalityscores.) Determinefromwhichanalogiestheseideasweregenerated. Count theattributesthatledtoeachoftheseanalogies.
  • 28. Quality ofAnalogies Result: Analogiesthatarereached via moreattributesgeneratemore top ideas.
  • 29. Quality ofAnalogies Scatterplot ofanalogies Analogiesreached via moreattributesshow a smallervariance in ideaquality.
  • 30. Conclusions Threepreliminaryconclusions: Relevant/typicalattributes do not leadtomoreeffective/practicableideas. A fewproductiveanalogiesareasgoodasmanylessproductiveones. Analogieswith lots ofgeneratingattributesarebetterthanthosewithfew.
  • 31. PracticalConsequences Consider a computer-basedcollaborativeenvironment. The selectionoftheanalogiescouldbeautomated. Perhapsanalogiescouldevenbegeneratedautomatically. The Brainwriting versus Brainstorming question Attributes andanalogiesshouldbe in brainstormingmode. Cross cueingisimportant. Ideagenerationshouldbe in brainwritingmode. Avoidanceofcognitiveinterference
  • 32. Evaluation Opennessofideationtask Perhapsit was too open forour original question. TRIZ provesthatattributeselectioncanbethekeytogeneratinggoodideas. A tighterproblemmightshowtheeffectwewerelookingfor. Further Work: Repeat the original experimentwith a tighterideationtask. Test thevalidityofthetwonewhypotheses.