Schedule of Personalized TV Advertisements

Automated Agents that Interact Proficiently with PeopleSarit KrausBar-Ilan University

sarit@cs.biu.ac.il

Buyer-Seller InteractionBuyers and sellers across geographical and ethnic bordersElectronic commerce Crowd-sourcing Automated travel agents

BargainingCulture Sensitive AgentsThe development of standardized agents to be used in the collection of data for studies on culture and negotiation Bargaining

4Automated Mediators for Resolving Conflicts

BargainingMedical Applications: Rehabilitation & Care Reinforcement for rehabilitation in an inpatient rehabilitation unitPersonalized automated speech therapist

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Sheba HospitalPersuasion6Medical Applications: Preventing Unhealthy Behaviors

Persuasionclients7Sustainability: Reducing Fuel Consumption

PersuasionFun; advise to be sustainability8Advice Provision for Decision MakingDiscussion Agent

9Training People

Virtual suspect to train investigators

Training people in negotiations(employer-employee)Why not Equilibrium Agents?Nash equilibrium: stable strategies; no agent has an incentive to deviateResults from the social sciences suggest people do not follow equilibrium strategies:Equilibrium based agents played against people failed.People rarely design agents to follow equilibrium strategies.

People Often Follow Suboptimal Decision StrategiesIrrationalities attributed tosensitivity to contextlack of knowledge of own preferencesthe effects of complexitythe interplay between emotion and cognitionthe problem of self control

12Why not Only Behavioral Science Models? There are several models that describe human decision makingMost models specify general criteria that are context sensitive but usually do not provide specific parameters or mathematical definitions

Why not Only Machine Learning? Machine learning builds models based on dataIt is difficult to collect human data Collecting data on specific user is very time consuming.Human data is noisyCurse of dimensionality

14MethodologyHuman Prediction ModelTake actionmachine learningGame Theory OptimizationmethodsData (from specific culture)Human behavior models Human specific data

Predicting Human Decisions ActionsDrivers choicesNegotiators reliabilityInvestors/investeesVotersTextPirate gameFacial expressions

What is she going to do? Stay or LeaveSuccesses? Security in LAX

Human behavior model Human behavior models Take actionMachine learningGame Theory OptimizationmethodsData (from specific culture)Challenging: Experimenting with people is very difficult !!!Working with people from other disciplines is challenging.Agents interacting proficiently with people is importantFun Human specific dataChallenging: How to integrate machine learning and behavioral models? How to use in agents strategy?

sarit@cs.biu.sc.il