The IoT, Big Data and I – Food for Game

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Fraunhofer Portugal Research Center for Assistive Information and Communication Solutions Applied Science by Fraunhofer Made in PortugalThe IoT, Big Data and I Food for Game?

REMARKABLE TECHNOLOGY, EASY TO USE

Fraunhofer Portugal @ Games for Health Europe Conference | 02 & 03 November 2015, Utrecht, The NetherlandsFraunhofer PortugalFraunhofer-Gesellschaft (worldwide)

66 Institutes

> 80 Research Units

~ 24.000 employees

> 2 billion R&D budget(1,7 billion from contract research)

7 GroupsInformation and Communication TechnologyLife SciencesLight & SurfacesMicroelectronicsProductionMaterials & ComponentsDefense & Security

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Fraunhofer Portugal 2015Fraunhofer PortugalInstitutional Background

Fraunhofer Portugal is a Non-Profit Research Institution of Public Common Interest

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Fraunhofer Portugal 2015Fraunhofer Portugal AICOSStrategic Research Agenda Focus AreasKey Target Groups:Subfields:Fall and activity monitoring

Chronic diseases &Well-Being Management

Assistive environmentsAgeing & Elderly

(including relatives, caregivers and communities)ICT4D(ICT for Development)AAL(Ambient Assisted Living)Populations in Rural & Developing AreasmGovernmentmHealthmAgricultureICT for Very Small Enterprises

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Fraunhofer Portugal 2015Fraunhofer Portugal AICOSStrategic Research Agenda Scientific AreasAutonomic Computing

Human-Computer InteractionInformation Processing

- Content Retrieval - Context Awareness- Multimodal Information Fusion

- Remote Management, Control and Configuration

- User & Social Experience- Mobile & Future Devices- Evaluation & Usability

Adapting interaction to specific user needsFrom raw data To meaningful informationSmarter machines: less configuration & maintenance

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Fraunhofer Portugal 2015Fraunhofer Portugal AICOSHot TopicsEyes of Internet of Things Competence Centre EIT-CCFocuses on the development of an infrastructure to physically observe multiple data sources, act accordingly in the environment and provide a holistic understanding of the user.Companion Competence Centre C3Companions are specialized frontends of big machines (IoT/Big Data solutions) that serve human users.Focuses on the creation of real working prototypes built on top of processed data provided by the technology developed in the EIT-CC.

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Fraunhofer Portugal 2015Fraunhofer Portugal AICOSHot Topics

Relation between EIT-CC and C3Goal: Efficiency Gains

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Fraunhofer Portugal 2015CompanionsCompanions are like the long time friends that:Help you when you need themUnderstand you and your demands and needsInteract with you (like a team member in a game)And get things done efficiently and convenientlyCompanions are front ends of large machines (systems that deploy the power of the IoT and Big Data)

More than just apps

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Fraunhofer Portugal 2015Gamifying CompanionsCOLABORAR: Playful R&D with 400 seniors

PLANRESEARCHDESIGNADAPTMEASURECOLABORAR is a user network bringing together:Over 400 older adult usersDay-care, residences, hospitals, universities, and other institutionsProfessionals (medical doctors, occupational therapists, physical therapists, psychologists)for human-centred design processes in R&D

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Fraunhofer Portugal 2015Smart CompanionA Swiss army knife

PLANRESEARCHDESIGNADAPTMEASURE

We have followed this process in the human-centred design of Smart CompanionSmart Companion is a Swiss army knife, a convivial tool, that assists seniors in getting things done

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Fraunhofer Portugal 2015

Emergency callSpecial unlockerAgendaCallsMessagesNavigationLocation monitoringPoints of interestSmart CompanionA Swiss army knifeIt puts together an ever growing set of relevant tools, e.g.:Settings: easy personalisationContactsActivity levelIn case of emergencyHealth measurementsCameraHow are you?Personal financesActivity monitoringFall detectionFall risk predictionMedication reminderNutritionSerious games

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Fraunhofer Portugal 2015Smart CompanionFrom R&D to the market

The approach has enabled Smart Companion to become a product that truly meets seniors hopes and needs

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Fraunhofer Portugal 2015Smart CompanionFeedback loopThe transition from R&D to market enabled:The creation of business modelsLarge scale testingAn extended feedback loopTherefore, new inputs from the client helped to align new developments in R&D already in an early phase

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Currently CookingActive ageingWe work to support active ageing through technology, but what exactly constitutes active ageing?

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Currently CookingNutritionActive ageing is based upon physical activity and foodAnd nutrition, even if only seen through the perspective of the older adult as final consumer, is a very complex thing!Our user research has provided some insights

Image source: http://www.foodinsight.org/

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Fraunhofer Portugal 2015Currently CookingNutrition: Motivation 1 in every 6 seniors reaching the emergency room are malnourished1

Low income, less educated and elderly people suffer more often from malnutrition Malnutrition often leads to chronic diseases Chronic diseases cause significant costs to health care systemsGood nutrition is an important factor in preventive healthReference: Pereira, G. F., Bulik, C. M., Weaver, M. A., Holland, W. C., & Platts-Mills, T. F. (2015, January). Malnutrition among cognitively intact, noncritically ill older adults in the emergency department. Annals of Emergency Medicine, 65(1), 85-91.

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Fraunhofer Portugal 2015Currently CookingNutrition: User research

Dealing with errandsCooking in advanceSaving strategiesFinding something to eatNo planningCooking what you knowManaging ones timeLacking motivation to cookAttitudes towards kitchen appl.Dont want to eat aloneFollowing a healthy dietevery day. () I cannot walk heavy loadedPeople dont think.I never plan anythingI can save gas and save workbecause I feel unwellI go out for lunch because I dont want to be aloneI usually have something ready in advance now theres only the two of us basically you do the usualSHOPPING ROUTINESMEAL PLANNINGMEAL PREPARATIONEATING HABITS

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Fraunhofer Portugal 2015Currently CookingNutrition: Co-designSeniors were involved in playful R&D activities to tackle malnutrition in old age

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Fraunhofer Portugal 2015Currently CookingNutrition: Our work so far

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Fraunhofer Portugal 2015EFFICIENCY GAINS!MORE FROM LESS FOR MORE!The FutureFrom Demand based Production and Over Supply to Supply based Consumption and Efficient UseTo keep and increase our standard of living also in the FutureThe Top Game ChangerReference: more from less for more, R.A. Mashelkar.

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Fraunhofer Portugal 2015Game Changer LevelsSocietyUsersBusinessTechnologyThe Future

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Fraunhofer Portugal 2015Technology LevelSocietyUsersBusinessTechnologyThe Future

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Fraunhofer Portugal 2015The IoT & Big Data connect currently isolated industrial islands.This leads to disruptive and rapid changes in old economies' business models.From branch internal competition to cross-sector collaborations.Slow companies might not survive because they didnt recognize the train that was hitting them.Business Level

The Future

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Fraunhofer Portugal 2015It is a new IoT & Big data enabled business modelIt is attractive for all stakeholders due to cost reduction / margin increase effectsIt is even more attractive for consumers (Health nutrition is the best prevention!)It is addressing a demographic problem (seniors often lack money and have increased deficits related to cooking and meal planning)It is addressing a societal problem (food waste)It is ecological (food waste, regional, seasonal , CO2)

IT IS MORE FROM LESS FOR MORE!

1 Example: Flat Rate FoodWhat is this supposed to be?

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Fraunhofer Portugal 2015Retail of food products: High Turnover, Low Margin, Strong CompetitionFood Waste Worldwide: 33% of all food produced (source: Food Wastage Footprint, FAO, 2013)Production & Harvest: 32%Handling & Storage: 23%Processing: 11%Distribution: 13%Consumption: 21%

Remember the malnutrition facts!Background1 Example: Flat Rate Food

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Fraunhofer Portugal 2015Matching Consumers & ProducersHow to Match?Freedom & Life StyleFinancial capabilityActivity & ageDietary / health requirementsCompliance & convenienceCooking capabilitiesVS.Supply based consumption

Pretty complicated

1 Example: Flat Rate Food

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Fraunhofer Portugal 2015ChallengeEVEN MORE COMPLICATED!MISSIONIMPOSSIBLE?ORA VERY SERIOUS GAME!1 Example: Flat Rate Food

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PRODUCER

DISTRIBUTOR

RETAILER

CONSUMER

4 Perspectives of the sameConsumer contracts a service! (e.g. 1 Month healthy food @ unbeatable price!)No fixed quantities and products! (supply based!)Individual and triple feedback loop (supply, health, gusto) based Menu PlanningSupply spins planning and consumptionPlanned and supply based consumption reduces food waste and allows for optimized supply chainA win for everybody (remember FAO numbers!)Step-by-Step introduction possible1 Example: Flat Rate Food

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4 Perspectives of the same @ HomeINDIVIDUAL PLANNER & RECOMMENDER & CHEF@HOMEActivitySimple health parametersPriority productsPromotionsPricesPackage sizeNutritional infoPersonal infoHealth status (external)MedicamentsPersonal preferencesFood processorsFridgeEtc.Product lists for longer periodsLike / Dislike

IoT

RETAILERBigDataQUANTIFIED SELFMENU PLANSMART WHITE GOODSDISHESREGIONAL /SEASONALINDIVIDUAL DEMANDS & NEEDSCLOUD CHEF e.g.IBM COOKING WITHWATSONBigDataIoTRETAILERBigData


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Fraunhofer Portugal 20154 Perspectives of the same @ RetailPRICESPROMOTIONSLOGISTICS DECISIONSRETAIL MANAGEMENT ENGINEQuantitiesValiditiesQualitySTOCK / SHOPIn shop stockPlanogramsIndividual deliveries centerSTOCK / SHOPIndividual deliveriesPick-upsExtrasGuaranteed freshnessFLAT RATE FOOD CLIENTSPRODUCTSIndividual ClientsProducts lists (quantities, timing)ExtrasFLAT RATE FOOD CLIENTDISTRIBUTORDISTRIBUTORDemands / PricesBrands vs. White LabelsShop planningIn-shop planningIndividual vs. BulkClient knowledgeLONG TERM DEMANDSOrdersPredictionsPrice offersRETAIL INTELLIGENCESHORT TERMS DEMANDSIoTIoTIoTIoTBigDataPRODUCTSPriority productsAvailabilities / ValiditiesPredictions / PromotionsBrand placementsPrices


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Fraunhofer Portugal 20154 Perspectives of the same @ Distribution/TransportLOGISTICSNO LOSS STOCKPREDICTIONS & LONG TERM DEMANDSDISTRIBUTOR MANAGEMENT ENGINEOrdersPredictionsLong term demandsNATIONAL PRODUCERSQuantitiesAvailabilitiesQualitiesPredictionsLead timesINTERNATIONAL PRODUCERSOrdersLong term demands (capacity reservations)FOOD PROCESSORS & BRANDSProductsPricesValiditiesAvailabilitiesPromotionsPlacement offersRETAILERLogistics plansJUST IN TIME TRANSPORTQuantitiesAvailabilityQualitiesPredictionsPriority productsNATIONAL PRODUCEROrdersPredictionsOffersWhite label demands RETAILERMinimum stockTransport capacitiesJUST IN TIME STOCKBrand placementsValidities / quantities (products)Capacities (processing of e.g. white label)Demands (for processing of brand products) BRAND / PACKAGED FOOD / PROCESSED FOODIoTBigDataIoT1 Example: Flat Rate Food

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Fraunhofer Portugal 20154 Perspectives of the same @ Producer

PRECISION AGRICULTURE

FARM ENGINEWeatherMarket developments (prices, international demand)Energy / utility prices & availabilitiesPesticide & fertilizer pricesEXTERNAL FACTORSordersPredictionsLong term demandsDISTRIBUTORFertilizersPesticidesToolsMaintenanceFARM EQUIPMENT SUPPLIERField data (humidity, plant moisture, pH, EC, etc.)FIELD / STABLEWork plansMaintenance plansHR & MACHINESProducts & Pricespredictions / future availabilitiesLong term capacitiesDISTRIBUTION / TRANSPORTIrrigationFertilizer / foodMedicamentsPesticidesFIELD / STABLEFruit sequencesDiseasesFARMING KNOWLEDGEIoTBigDataIoTIoT1 Example: Flat Rate Food

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Fraunhofer Portugal 2015The FutureUser LevelSocietyUsersBusinessTechnology

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Smart Companions

ChefMyself

GoLivePhoneHydroponicsThe Future

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Fraunhofer Portugal 2015Are IoT & Big Data Game Changers?

IoT & Big Data are no Technological Game Changers!Networked sensors and actuatorsMobile devices and wearables Cloud servicesData Analytics

The large scale integration of all will become a reality

New IoT & Big Data driven Business Models and inherent Efficiency Gains are Game Changers!Mind Ray Kurzweil!Conclusion

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Fraunhofer Portugal 2015RemarkMind and Ensure the Difference!

Deus ex Machina(Greek origin)

(24/7, Global, Real Time)

References: Star Trek (19661969) from director Gene Roddenberry; Metropolis (1927) from Director Fritz Lang. The Ghost in the Machine (Gilbert Ryle; Arthur Koestler)

(self destruction by Technology being misused)

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The IoT, Big Data and I – Food for Game

Healthcare