Experience based Personal Multimedia Content Management System

1,034 views

Published on

Published in: Technology, Education
1 Comment
0 Likes
Statistics
Notes
  • Be the first to like this

No Downloads
Views
Total views
1,034
On SlideShare
0
From Embeds
0
Number of Embeds
4
Actions
Shares
0
Downloads
23
Comments
1
Likes
0
Embeds 0
No embeds

No notes for slide

Experience based Personal Multimedia Content Management System

  1. 1. Personal Multimedia Content Management Adrian Hornsby … from Sensing to Experiencing
  2. 2. Outline … learn from people … a world of data … the notion of sensing … raw sensing … life sensing … behaviorial information … social judgment … contextual awarness … continuum experience … living metadata … ontology … personal content management
  3. 3. Learning Experience Kolb (1984) model inspired by the work of Kurt Lewin. Concrete Reflective Experience Observation Abstract Active Conceptualisation Experimentation
  4. 4. Learn from people SAY EXPLICIT THINK DO OBSERVABLE USE KNOW TACIT AND LATENT FEEL DREAM Source: Sanders (2002)
  5. 5. A world of data Data are often viewed as a lowest level of abstraction from which information and knowledge are derived. Data is usually collected as the result of experience, observation, experiment or processes within a computer system and may consist of numbers, words, or images.
  6. 6. The notion of sensing Aristotle: Traditional five senses: sight, hearing, touch, smell, taste. Humans have six additional senses: pain (nociception), balance (equilibrioception), joint motion and acceleration (proprioception & kinesthesia), sense of time, sense of temperature differences (thermoception), and the sense of direction (magnetoception).
  7. 7. Raw sensing Localization  Accelerometers  Proximity  Touch  Light  Temperature  Speed  Humidity  Etc. 
  8. 8. Life Sensing What if we could sense people's life ?? SMS  Emails  Life Logging + Raw Sensing Call logging  Phonebook  Pattern Blogs Extraction  Forums  Social Website  Life Sensing Galleries  ...  Behavior, Social Judgment, Context
  9. 9. Life Sensing Pattern Extraction Who??  What ??  Recursive Experience When ??  Where ??  With Whom ??  : Every Sunday, when with my family, at my grandma´s cottage, we take a traditional family picture and I send it to all the members of my family. Source: SeeSaw Adv. 2008
  10. 10. Life Sensing Behaviorial Information Exhibited by human beings and influenced by culture, attitudes, emotions, values, ethics, authority, rapport, hypnosis, persuasion, coercion and/or genetics. Geographic  Historic  Associative  Emotive  etc... 
  11. 11. Life Sensing Social Judgment The idea of Social Judgement is that attitude change is mediated by judgmental processes and effects used to persuade people. Personality  Mood  Intelligence  Education  Sincerity  Trustworthiness  Source: Sherif, Sherif, & Nebergall (1965)
  12. 12. Life Sensing Contextual Awareness Any information that can be used to characterize the situation of an entity, be it a person, place, object that is relevant to the interaction between a user and an application, including themselves. Self- Awareness  Group- Awareness  World- Awareness 
  13. 13. Experience Social Judgement Behavior Contextual Awareness Ra w g Sen s in
  14. 14. Continuum Experience Raw Sensing Behavior Continuum Experience Social Judgement Contextual Awareness Before, Now and After
  15. 15. Living Metadata Extract  Combine  Propagate  Utilize  Refresh 
  16. 16. Ontology “An ontology is an  explicit specification of a conceptualization” (Gruber, 1995) “A conceptualization is a  set of conceptual relations defined on a domain space” Provides ways to define  new relations when needed and defined in a detailed manner.
  17. 17. Experience- based Ontology Upper: Raw Data, Life Patterns, Time, Location Domain: Task: Family, Sport, Voice, Conversation, Tourism, Work... Video, Audio, Photo Application Ontology
  18. 18. PCM Sensing Experience-based Ontology Multimedia Content Continuum Experience Living Metadata
  19. 19. Conclusion Full Sensing potential to enrich multimedia content  Raw sensing  Life sensing  Close the loop  Continuum experience  Living metadata  Experience-based Ontology  Experience-based PCM

×