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Session 3b Context Management Can you predict Human Behavior?

Session 3b Context Management Can you predict Human Behavior?. José Simões, Fraunhofer FOKUS Thomas Magedanz, Fraunhofer FOKUS. Highlights. Motivation What is Human Behavior ? The Challenges The Technologies Architecture & Concepts Methodology Use Cases & Business Models Validation.

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Session 3b Context Management Can you predict Human Behavior?

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  1. Session 3bContext ManagementCan you predict Human Behavior? José Simões, Fraunhofer FOKUS Thomas Magedanz, Fraunhofer FOKUS

  2. Highlights • Motivation • What is Human Behavior? • The Challenges • The Technologies • Architecture & Concepts • Methodology • Use Cases & Business Models • Validation

  3. Motivation • Context is widely available • User-Centric approach • Understand the users • Address their needs, wishes and intentions • Predict Human Behavior Enrich user perceived Quality of Experience (QoE)

  4. What is Human Behavior? • What really influences user’s behavior? • People (who?) • Context (where?, which?, when?) • Self (how?) “ Behavior is a person's action or reaction to some situation or stimulus and is governed by its consequences. It is usually ingrained and operate out of the subconscious based on past experiences and a belief system. ” Note: this definition was build on different references.

  5. The Challenges • Different Sources • Different Technologies • Different Algorithms • Different Data • Unified Data Structure • Heterogeneous User Requirements

  6. The Technologies Data Mining Social Networks Context-Awareness Social Networks Catholic Sports Context-Awareness Technology Democrat Beach Photos Data Mining Clubs Comments • Interests • Orientations • Interactions • Relationships • Distance • Communities • Patterns • Correlation • Inference Note: this image was taken from http://blog-en.tamtamy.com/tag/social-network-analysis/ Note: this image was taken from Jose Simoes Facebook social network. Note: this image was modified from Jose Simoes Facebook social network.

  7. Architecture & Concepts

  8. Data Management (Context)

  9. New Knowledge Generation

  10. Service Exposure & Control Authentication Identity Provider 2. Redirect 3rd Party App. 4. Authenticated 3. Provide Credentials 5. Request Data 1. Sign-In

  11. Service Exposure & Control (2) 4. Context Update Authorization 3rd Party App. 3. Authorized 2. Request extra data (optional) 1. Authorize Notification / Request

  12. Validation Social Network Analysis “ User relationships ”

  13. Innovations • Real-time multimedia personalization & adaptation • Leverage user data to 3rd party – Privacy • Allow providers to focus on core business • New Business Models - Scenario A: Advertising at the Shopping Center - Scenario B: Reduce Churn, Increase Sales Enrich user perceived Quality of Experience (QoE)

  14. Conclusions & Future Work • Can you (we) predict Human Behavior? !! Unfortunately Not !! • Provide a platform to address this problem • Propose a methodology to improve results • Improve data mining algorithms • Focus on particular behavior intermediary states

  15. Thank You Any Questions?

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