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Supporting EndUser Tailoring: ComponentBased Approaches

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... Volkmar Pipek, Oliver Stiemerling, Gunnar Stevens, Markus Won, Volker Wulf ... CAT-File = Plan for Application. Run-Time (Server) Run-Time (Client) ... – PowerPoint PPT presentation

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Title: Supporting EndUser Tailoring: ComponentBased Approaches


1
Supporting End-User Tailoring Component-Based
Approaches
Markus Won and Volker Wulf Institut für
Angewandte Informationstechnologie der Fraunhofer
Gesellschaft (FhG-FIT) and ProSEC, University of
Bonn
2
Institutional Setting (1)
  • GMD-FIT (Since early 1990s)
  • Adaptivity vs. Adaptability
  • Researchers Reinhard Oppermann, Michael Paetau,
    Helmut Simm, Marcus Specht, Markus Eisenhauer
  • Publication
  • Oppermann, R. (ed.) Adaptive User Support
    Ergonomic Design of Manually and Automatically
    Adaptable Software, LEA, Hillsdale, NJ 1994
  • New focus on adaptive and situation-aware
    systems, especially in learning and mobility

3
Institutional Setting (2)
  • ProSEC at the University of Bonn (since 1994)
  • Tailorability (of groupware)
  • Researchers Helge Kahler, Volkmar Pipek, Oliver
    Stiemerling, Gunnar Stevens, Markus Won, Volker
    Wulf
  • Publications
  • Volker Wulf Design of Tailorable Groupware
    Habilitation Thesis, University of Hamburg 2000
  • Helge Kahler Supporting Collaborative Tailoring,
    PhD-Thesis at Roskilde University, Denmark, 2001
  • Oliver Stiemerling Component-based
    Tailorability, PhD-Thesis, University of Bonn
    2000
  • ...
  • Organizational Rearrangements
  • Fraunhofer FIT
  • University of Siegen
  • University of Bonn

4
Tailorability
  • Fields of application are differentiated and
    dynamically changing
  • Current tasks
  • Individual qualifications
  • Collaborative context
  • Tailorability is defined
  • changing aspects of an applications
    functionality
  • in a persistent way (by means of tailored
    artefacts)
  • during the use of an application (at runtime)
  • by users or local experts
  • Technical flexibility beyond
  • modifications of parameters
  • (re-)programming

5
Tailorability Research Challenges (1)
  • Flexible Architecture
  • Rule based architectures
  • Component based architectures (simple and
    compound components)
  • Appropriate Interfaces
  • Vizualizing and manipulating tailored artefacts
    2D and 3D Interfaces
  • Describing tailored artefacts Annotations,
    attaching examples
  • Understanding tailored artefacts Exploration
    Environments
  • Providing support for tailoring Integrity
    checking
  • Accessing tailoring functions Direct Activation

6
Tailorability Research Challenges (2)
  • Collaborative Tailoring
  • Technical infrastructure Shared repository
  • Finding tailored artifacts Naming and
    classifying
  • Localizing tailored artifacts Access rights and
    views
  • Quality insurance of tailored artifacts
    Identifying creators, (Collective) histories of
    use

7
Tailorability Flexible Architectures
  • Rule based architectures
  • Component based architectures
  • Different tailoring modes
  • Architecture
  • Simple and Compound Components

8
Component-Based Architectures
  • Properties of components
  • Independently developed parts of software
  • Independently exchangeable
  • Several components interact as one application or
    system

9
The FREEVOLVE Platform An architectural overview
(1)
List of Applications
10
The FREEVOLVE Platform An architectural overview
(2)
Server
Client
Run-Time (Server)
Run-Time (Client)
Client
  • Tailor one application on the Clients or the
    Servers side
  • Client Direct impact
  • Server Next start
  • Save changes for next use

Run-Time (Client)
11
Tailorability Appropriate Interfaces
  • Vizualizing and manipulating tailored artefacts
    2D and 3D Interfaces
  • Describing tailored artefacts Annotations,
    attaching examples
  • Providing support for tailoring Integrity
    checking
  • Understanding tailored artefacts Exploration
    Environments
  • Accessing tailoring functions Direct Activation

12
Manipulating Tailored Artifacts 2D-Environments
  • Search Tool for Groupware as an example
  • Tailoring mode very similar to the run-time mode
  • Abstract (compound) components prevent form too
    much complexity

run-time
Design
13
Manipulating Tailored Artifacts 3D-Environments
14
Tailorability Appropriate Interfaces
  • Vizualizing and manipulating tailored artifacts
    2D and 3D Interfaces
  • Describing tailored artifacts Annotations,
    attaching examples
  • Providing support for tailoring Integrity
    checking
  • Understanding tailored artifacts Exploration
    Environments
  • Accessing tailoring functions Direct Activation

15
Integrity Checking Ease Learning and prevention
of failures
  • Additional Information (in XML) to
  • Components
  • Component Sets
  • Application templates
  • Tests on
  • Event Flows
  • Is all that is needed produced and bound?
  • Constraints
  • Are there dependencies between components
    parameters?
  • Possible Results
  • Warnings
  • Help Texts and Improving Suggestions
  • Semi-automatic correction of failures (future
    work)

16
Integrity Checking Event Flow Integrity
Differentiation between required and optional
bindings
Taking into account the Transitivity of
Connections
  • Some Events (Tokens) have to be created or used
    (Producer vs. Consumer)
  • Transitivity of connections
  • Typed components
  • Tokens can be transformed (re-typing) within a
    component
  • Token types can be orthogonally to the existing
    class hierarchy  
  • Idea Petri-Net-based analysis

Petri-Net-based analysis
17
Integrity Checking Dependent Parameters and
Application Templates
  • Parameters can be directly or functionally
    dependent (within one component as well as
    between components)
  • Same Lookn Feel (c.f. Java Swing)
  • Same input scale of serialized audio filter
  • In single components this can be done by typing
    (sub-typing) or in the source code (complex
    dependencies) But
  • Changing constraints in changing domain contexts
    (Special semantic of a standard component)
  • Explicit description eases tailoring and
    understanding
  • Templates are
  • Helpful if designing a special kind of
    application
  • Partly pre-defined components and their
    parameters
  • Existence of particular Components (Boolean
    logic, according to class hierarchy)
  • Some connections are pre-defined

Constraints and Triggers
18
FREEVOLVE The IntegrityTailoringClient
  • Easily tailoring and support by interactive
    integrity check
  • Different tailoring view modes (fully
    synchronized)
  • Binding are visualized
  • Properties of components or compound components
  • Schematical WYSIWIG view of the client
    application

19
Tailorability Appropriate Interfaces
  • Vizualizing and manipulating tailored artifacts
    2D and 3D Interfaces
  • Describing tailored artifacts Annotations,
    attaching examples
  • Providing support for tailoring Integrity
    checking
  • Understanding tailored artifacts Exploration
    Environments
  • Accessing tailoring functions Direct Activation

20
Exploration Environments
21
Direct Activation
22
Collaborative Tailoring
  • Technical infrastructure Shared repository
  • Finding tailored artifacts Naming and
    classifying
  • Localizing tailored artifacts Access rights and
    views
  • Quality insurance of tailored artifacts
    Identifying creators, (Collective) histories of
    use

23
Naming and classifyingtailored artifacts
  • Problems in a field study
  • names of the elementary components hardly
    indicated their meaning
  • appropriate components difficult to identify
  • Design Approach
  • more meaningful names for the elementary
    components
  • additional icons vizualizing elementary
    components in the menu
  • classification schemes for elementary and
    compound components
  • Experiences from the field test
  • hierarchy of the elementary components difficult
    to understand
  • lacking naming conventions for compound
    components
  • requirements for context specific display of
    components

24
Quality insurance Identifying creators
25
Conclusion and Future Work
  • FreEvolve Platform for component-based
    tailorability
  • Platform Research prototype
  • Applications Search tool, access control, chat
    tool, ...
  • Research challenges
  • Decomposition into understandable components
  • Handling of complex compositions
  • Consistency of distributed tailoing activities
  • ...
  • Development of new applications with industry
    (research)

26
End User Development
  • End User Development
  • Kick off Network of Excellence
  • Examples for adaptive situation-aware systems
  • CRUMPET
  • SAiMotion

27
Crumpet
  • CRUMPET
  • CReation of User-friendly Mobile services
    PErsonalised for Tourism

28
CRUMPET Consortium
  • Queen Mary University of London, UK (CO),
  • Emorphia Ltd (Nortel Networks), UK
  • European Media Lab, Germany
  • Fraunhofer FIT Inst. for Applied Information
    Technology, Germany
  • PTIN, Portugal
  • Sonera Ltd, Finland
  • University of Helsinki, Finland
  • CRUMPET is an EU-funded IST 5th framework project
  • Timeframe 1. Oct 2000 30. Sept 2002 2 months

29
Idea adaptive, nomadic information system for
tourism
  • CRUMPET has two main objectives
  • To implement and trial tourism-related
    value-added services for nomadic users across
    mobile and fixed networks
  • To evaluate agent technology in terms of
    user-acceptability, performance and
    best-practice as a suitable approach for fast
    creation of robust, scalable, seamlessly
    accessible nomadic services

30
Combined technologies
31
Vision
  • Trustworthy and ambient agencies for user's
    world-wide, wireless access to local services
  • Personalised support for mobile users
  • Location-aware support
  • Exploitation of heterogeneous legacy services,
    which
  • cover a wide range of locations,
  • supply a wide range of supplementary,
    complementary, or even competitive services,
  • may differ in service features and qualities.

32
SAiMotion
  • Situation Awareness in Motion
  • next generation of mobile information guide system

33
Partners in SAiMotion
  • Fraunhofer FIT, Sankt Augustin (Coordination)
  • Fraunhofer IGD, Rostock
  • Fraunhofer IAO, Stuttgart
  • Fraunhofer IZM, Berlin
  • Fraunhofer IIS, Erlangen
  • Fraunhofer IPSI, Darmstadt
  • SAiMotion is a BMBF project
  • Timeframe 1. April 2001 31. March 2004

34
Idea adaptive, nomadic information system for
events (conference, fair...)
35
SAiMotion-system
  • general support for visitors
  • quick overview
  • proactive information presentation
  • individual tours
  • references on exhibits/ exhibitors of personal
    interest

36
Example of an interactive, annotated exhibition
center
37
Example Informations on the mobile device
38
Example Maps on the mobile device
39
Performance features situation-adapted services
40
Situation awareness and Context
  • Context modeling is useful to reduce information
    overload and to adapt content and interaction
  • What should be taken into account?
  • Limitation of the system (boundaries of context
    (Lieberman Selker 2002) / purpose of system)
  • Metaphor
  • Location
  • Task
  • Social situation
  • Physical environment
  • History (of interaction/ of tasks/ knowledge)
  • User and system adapt to each other to share a
    common context
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