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6.1 Intelligent User Interfaces: achievements and challenges ISE554 The WWW for eLearning.

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Presentation on theme: "6.1 Intelligent User Interfaces: achievements and challenges ISE554 The WWW for eLearning."— Presentation transcript:

1 6.1 Intelligent User Interfaces: achievements and challenges ISE554 The WWW for eLearning

2 “Even a good match between person and system is unlikely to last. Tasks change over time and so do we.”

3 Intelligent User Interfaces

4 Intelligent User Interfaces The term intelligent interface is used to refer to user interfaces that respond flexibly to events in some purposeful way.

5 Intelligent User Interfaces The term intelligent also includes systems that have explicit human knowledge represented within them.

6 Intelligent User Interfaces In the sense that an intelligent interface responds flexibly to events, it can be thought of as adaptive.

7 The agent that performs the adaptation the system specialist the trained user/local expert the end user the system itself

8 The level of concern of the adaptation perceptual and motor skills user goals and meaning the information environment

9 The basic questions what is the interface being intelligent about? to what purpose is change made? what is the protocol for agreeing change? who has access to the knowledge employed?

10 What is the interface being intelligent about?

11 What is the interface being intelligent about? The user or the services being provided?

12 To what purpose is change made?

13 To what purpose is change made? Help with skills, goals or the environment?

14 What is the protocol for agreeing change?

15 What is the protocol for agreeing change? How is an adaptation authorised, implemented and evaluated?

16 Who has access to the knowledge employed?

17 Who has access to the knowledge employed? Knowledge engineer, expert or end user?

18 Achievements and challenges

19 Adapting to the user

20 "Excepting the use of psychometric testing it is unlikely in the near or even semi-distant future that any persistent personality or cognitive traits can be derived from monitoring user interaction" Browne 1990

21 Offer the user a tip

22 contain a clear description of the rationale of the adaptation present comprehensive selection and definition opportunities offer a survey of previously performed adaptations allow for future changes to the adaptations. Opperman 1992 Offer the user a tip but

23 Adapting to the services

24 Required in domains such as Process Control, where unpredictable events occur

25 Being intelligent about the services

26 Being intelligent about the user's task and the availability of software that could support it.

27 End-user access to the knowledge in the interface

28 Where an expert is working in a complex domain, in which the knowledge is changing following testing, or discovery, then knowledge refinement is critical.

29 Beyond Intelligent Interfaces

30 Beyond Intelligent Interfaces Co-operative Problem Solving

31 Co-operative Problem Solving Beyond user interfaces Problem articulation in context Increasing “back-talk” The need for specialisation Problem domain communications Fischer and Reeves

32 Beyond user interfaces Fischer and Reeves

33 Beyond user interfaces knowledge about the world Fischer and Reeves

34 Problem articulation in context Fischer and Reeves

35 Problem articulation in context exploration shapes the situation Fischer and Reeves

36 Increasing “back-talk” Fischer and Reeves

37 Increasing “back-talk” the need for high fidelity feedback Fischer and Reeves

38 The need for specialisation Fischer and Reeves

39 The need for specialisation making the information relevant to the task Fischer and Reeves

40 Problem domain communications Fischer and Reeves

41 Problem domain communications providing domain-orientated architectures Fischer and Reeves

42 Intelligent Interfaces and Beyond

43 “system inferences are made by monitoring the user’s interactions, which typically are information poor.”


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