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The Needle in the eHaystack : A Broad Perspective of the navigation

The Needle in the eHaystack : A Broad Perspective of the navigation in the digital spaces of contents Gadi Ariav Info 2006. outline. information and information behavior information behavior orientation  DSS the DSS imperative : the design cycle dialog, data, model

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The Needle in the eHaystack : A Broad Perspective of the navigation

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  1. The Needle in the eHaystack: A Broad Perspective of the navigation in the digital spaces of contents Gadi Ariav Info 2006

  2. outline • information and information behavior • information behavior orientation  DSS • the DSS imperative: • the design cycle • dialog, data, model • NeGeV personal TV environment as a DSS • an open list of research questions

  3. information some common myths… and their implications: • only “objective” is valuable  Web 2.0 • more is better  need driven • can be provided out of context  task dependent • there is relevant info for every need  complexity • ‘privatizing’ external info is easy  “what do people do to information?” (Case, 2002)

  4. basic concepts • data accumulation concepts: • key:eventcapturedata • organized around process and feedback • data usage / decision support concepts: • key: action decision information • organized around decision situation

  5. DSS design – overview • role • Process • Range • Depth • environment • Task Type • Access Pattern • structure • components • architecture • evaluation criteria • answers • reducing uncertainty • making sense

  6. ds implementation loop • …user with a decision task •  DSS design: • analysis, evaluation, construction •  a decision support system: • dialog, data and model management • user with a decision task*  …

  7. DSS structure – overview • model management • dialog management • User & tasks • data management • external data & neighboring IS

  8. dialog management • user interface… to infinitely varied users • dialog structure… to infinitely varied situations • unified interface… to infinitely varied resources

  9. data management • repositories of source-data… of infinitely varied types • meta data about the repositories • interrelated private and public data • unified staging… of infinitely varied external repositories

  10. model management • repositories of models… • of global search • of situational search of infinitely varied types • meta data about the repositories • integrated application of diverse models

  11. TV –the killer info appliance Source: Forrester

  12. “The Global Broadcast television industry is undergoing fundamental change that is rendering the network model obsolete” • “Today’s consumers are seeking content across an expanding array of transmission media, channels, interactive platforms and devices” • “Demand for content is exploding in all forms of media and this creates significant opportunities” • “Networks will offer content across variety of media channels and formats”

  13. ספק שירות תוכן הביע נכונות להשתתף ללא מימון מפעיל רשת הביעו נכונות להצטרף למאגד. מפעיל יבחר ויצורף בשנה ב' NeGeV business members פתרונות מתקדמים להעברת וידאו על רשתות רחבות פס פתרונות דיגיטליים מלאים לכבלים, לוויין ופס רחב פתרונות אחסון והזרמהשל וידאו ברשתותIP מערכות ותוכנות מולטי-מדיה מבוססות רשת טכנולוגיות ומוצרי מולטי-מדיה לתחום הנייד אפליקציות עבור טלוויזית IP(IPTV) מערכות לניהול שידורים עבור רשתות ותחנות טלוויזיה

  14. NeGeV challenges • mass-customization • large-scale mass-customization • completely inadequate infrastructure: • narrow-cast on broadcast network • sophistication on cheap and weak STBs • cautious traditional incumbents

  15. NeGeV services • gaps: • dictated broadcast schedule • limited content selection by viewer • homogeneous viewers assumption • limited profile of viewers preferences • technological challenges: • content selection from vast depositories • identification and management of preferences • massive mass-customization of the above • cross-platform personalized viewing tracks • sharing of V-Environment characteristics

  16. NeGeV “front-end” research

  17. info seeking challenges • wrong focus of tools • behavioral assumptions • types of data: • (directly) codifiable vs. non-codifiable • qualitative specs • types of questions: • factual, inferential, causal, predictive

  18. info seeking measurement • tangible outcomes (?) • impact on information process: • personal efficiency, problem solving style • impact on information user: • perceived “usefulness” & “result comfort” • extent of structure • extent of insight & understanding

  19. …and a final thought

  20. recap • information and information behavior • information behavior orientation  DSS • the DSS imperative: • the design cycle • dialog, data, model • NeGeV personal TV environment as a DSS • an open list of research questions

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