HumanML in New Kinds of Collaborations

1. HumanML in New Kinds of Collaborations • Collaborators-participants from: • New York Academy of Medicine (NYAM) • OASIS HumanMarkup Technical Committee (TC) • OASIS Web Services for Remote Portlets (WSRP) TC • OASIS Emergency Management (EM) TC • Oracle Corporation • Disaster Management Interoperability Services HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

2. A New Kind of Collaboration • Public Healthcare Preparedness Portal • Proof of Concept = Example • Web Services Portal = Pre-Arranged, Multiple Sources of Information in Single Display Format • Common Alerting Protocol (CAP) for Emergency Management Community Starts Process • Time Critical Follow-On Map & Medical Information for First Responders • Further Developments HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

3. HumanML Terminology • HumanML: General abbreviation for entire set of Human Markup Language specifications • Huml: The name of the ‘root’ XML Schema Element of the Human Markup Language Primary Base XML Schema Specification (and, therefore of the entire set of languages) • huml: The namespace prefix which identifies the HumanML namespace; also the abbreviation used for the OASIS HumanMarkup Technical Committee • ML: The abbreviation for Markup Language HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

4. Incubating • Public Information Environments (Framework) • New Kinds of Collaborations (Conditions) • Emerging Technologies (ET) (Vehicles) • Open Standards - ISO, W3C, IETF, OASIS • XML/RDF = Vocabulary + Resources • HumanML provides “Connection” • Connecting Emerging Technologies Vehicles • Ongoing Environment for Exploration HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

5. Incubating • Framework • Conditions • XML, RDF • HumanML HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

6. Human Capital = Value of Human Knowledge • Most Capital inside Individual Human Minds • Useful to Individual but Limited Lifecycle • Less Useful to Groups, e.g. Business, Government • “Soft” Human Science Capital Less than “Hard” Physical Science Capital • Lacks Empirical Foundation • Poorly Quantified Social Needs Difficult to Address • “ROI” Difficult to Measure HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

7. Factors at Work in Human Capital • 90% of Sum Total of “Hard” Human “Knowledge” Discovered in the Last Two Decades of the 20th Century • Worldwide Social Needs Growing with Economic & Digital Gaps between Affluent & Developing Worlds • Internet “Information Revolution” Set to Spread in Developing World at Stunning Rate in this Decade HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

8. HumanML Goals for Collaborations • Increase “Soft” Human Science Capital (Adding Value) • Build Application-Area-Specific Vocabularies • Use XML, RDF to Quantify Anecdotal Information • Occurences of “Tags” can be tabulated • Frequency and Amount and/or Volume of “Tags” within Population of Standard Documents over Timeframe can be Correlated and Compared to other Data to produce Empirical Analyses HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

9. Building Specific HumanMLs • Primary Base Schema = Collection of Categories • Secondary Base Schema Built from Application Area- Specific Secondary Schemata • Structural Methodology = Paradigm • Subcommittees Formed by Application Area • Physical Characteristics Descriptions • Cognition • Mediation • Social & Cultural Descriptions HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

10. HumanML Structure HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

11. OASIS HumanMarkup TC Subcommittees (SCs) • Current: • Human Physical Characteristics Description ML (HPCDML SC) • Planned: • Cognition in Environments (CogEnv SC) • Mediation SC • Cultural Descriptions • Needs Great Care and Attention to Craft Usability • Needs to include many considerations: History, Ethnography, Geography, Religion, etc. HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

12. Human Physical Characteristics Description ML • HPCDML Requirements “inclusive” • Designed to Provide Standardized Description of Physical Characteristics of Humans, (Including Ancestral Remains) with Specific Responsibility to Harmonize and Interoperate with Widely Accepted Public Health, Medical, Biometric,Human-Modeling, and Public Safety Standards • Actiively Working With Digital Archive Network for Anthropology and World Heritage (DANA-WH) of the Archeology Technologies Laboratory (ATL) of North Dakota State University HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

13. HPCDML Designed for 3D • Physical Accuracy • AnatML, FMA, Medical Informatics • H-Anim, VRML/X3D • Kinesic Behavioral “Vocabulary” for Bodily Gestures • Motion Capture • “Native Dancer” HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

14. Kinesic Motion Capture Sample HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

15. Showing Emotions in HPCDML • Emotional Behavioral “Vocabulary” for Bodily Gestures • Modeling Facial Musculoskeletal System for Behavior On Demand • Maintain Goal of Physical Accuracy • Basic Emotions from Primary Base Schema Enable Combinations Using Range of Intensity • Real-Time Interaction Objective HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

16. Emotional Expressions Sample HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

17. Cognition in Environments • Application Area • Basic Concepts… • More to come HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

18. Cognition Requirements • Cognitive Information Processing • DARPA Criteria: • can reason in a variety of ways, using substantial amounts of appropriately represented knowledge; • can learn from its experiences so that its performance improves as it accumulates knowledge and experience; • can explain itself and can accept direction; • can be aware of its own behavior and reflect on its own capabilities; and • can respond in a robust manner to surprises. HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

19. More Cognition Requirements • Cognitive Information Processing • Models Processes of Perception • Models Processes of Communication • Models Processes of Decision-Making • Model for Perception Undecided • Semiosis Communication Model • Sign, Signal, Symbol • Semiote = Cognitive Agent HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

20. XML Schema for Semiosis, Semiote <xs:complexType name="Semiosis" abstract="true"> <xs:annotation> <xs:documentation xml:lang="en"> Semiotic Communication Mode Semiosis is a meaningful exchange of signs, signals and symbols among cognitive agents. NOTE: This process is the model of the human communication process upon which HumanML is based. It can be, and we expect that it will be further enumerated by semiotic types and extended in the Secondary Base Schema and subsequent huml schemata. </xs:documentation> <xs:appinfo>NONE</xs:appinfo> </xs:annotation> <xs:attributeGroup ref="humlTemporalAtts"/> <xs:attributeGroup ref="humlCommAtts"/> </xs:complexType> <xs:complexType name="Semiote" abstract="true"> <xs:annotation> <xs:documentation xml:lang="en"> Cognitive Agent A Semiote is a cognitive agent who participates in meaningful signal exchange among cognitive agents. NOTE: This element is the actor in the semiotic model of communication It is a set of processors capable of emitting, receiving and responding to signals. </xs:documentation> <xs:appinfo>NONE</xs:appinfo> </xs:annotation> <xs:attributeGroup ref="humlCommAtts"/> </xs:complexType> HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

21. Peacemaking and the Three Names • Diplomacy Too Specialized • Conflict Resolution Too Negative • Bridging Perspectives Too Undefined • Mediation Just Right • Process Shows Need • Requirements and Charter-writing Underway HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

22. Cultural Descriptions • Requirements Under Consideration • Native Ethnic/Linguistic Authors Whenever Possible and Reasonable • Anthropologist Consultation or Training Favored • Authenticity & Accuracy Tracking to Compare Behavior of Self-Identified Cultural Members with Description • Previous HumanML Experience Provides Guidance • Rigorous Documentation & Approval • Continuous Update Capacity Sought HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

23. CRM for HumanML Users • HumanML Preferences ML Probable for: • Individual Single-Sign-On Applications • Individual User Profile for in-depth ID Authentication and Personalization • Using Satisfaction Index in tracking Delivery of Highly Targeted Materials from Specific Individual Preferences to: • Eliminate Spam • Produce “Focused” Marketing for Business, and • End User Service and Satisfaction from Receiving ONLY Desirable, Preferred, Requested Information HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

24. HumanML Enhancements for CRM • Combinations of HumanMLs Enhance Traditional CRM Capabilities • HumanML in CRM-Based Results Analysis Aids Performance Improvements • CRM-Based Results Analysis Aids Improvement of HumanML HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

25. HumanML Goals “Glue” for Collaborations • Improve Communications through Clarity and Accuracy • Provide Means to Model Cognition and Perception • Provide Means to Measure and Evaluate Results • Provide Models for Collaborations by Example HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

26. CRM and ROI in Child Protective Services Slide 1 HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

27. CRM and ROI in Child Protective Services Slide 2 HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

28. CRM and ROI in Child Protective Services Slide 3 HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

29. CRM and ROI in Child Protective Services Slide 4 HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

30. Collaboration Expedition Workshops Provide Incubator • Digital Dividends Brochure • Practice-Centered Research and Design Report • Two Years Work Now Showing Results HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

31. HumanML Mission Complements Collaboration Process • XML & RDF Provide Interoperability • GPRA of 1993 Taking Hold • HumanML Aids Sematic Web • Semiotic Communications Processing • Inference Engine Modeling HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

32. Public Healthcare Portal Collaboration • New York Academy of Medicine Proof of Concept Public Healthcare Preparedness Portal • CAP Alert - OASIS Emergency Management TC • Disaster Management Interoperability Services • WSRP 1.0 Web Services for Remote Portlets TC • OASIS HumanMarkup TC • Oracle Corporation HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

33. Portal Demonstration Script • DMIS Issues CAP Message • CAP Message Displayed on Portal • EMT Accesses Portal, Selects CAP Message • EMT Accesses Map Portlet Sequence • EMT Accesses Medical Treatments Information Portlet HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30

34. HumanML in New Kinds of Collaborations Collaboration Expedition Workshop #30