6.1 intelligent user interfaces: achievements and challenges

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

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6.1 Intelligent User Interfaces: achievements and challenges. ISE554. The WWW for eLearning. “Even a good match between person and system is unlikely to last. Tasks change over time and so do we.”. Intelligent User Interfaces. - PowerPoint PPT Presentation

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Page 1: 6.1 Intelligent User Interfaces: achievements and challenges

6.1Intelligent User Interfaces:achievements and challenges

ISE554

The WWW for eLearning

Page 2: 6.1 Intelligent User Interfaces: achievements and challenges

“Even a good match between person and system is unlikely to last. Tasks change over time and

so do we.”

Page 3: 6.1 Intelligent User Interfaces: achievements and challenges

Intelligent User Interfaces

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Intelligent User Interfaces

The term intelligent interface is used to refer to user interfaces that respond flexibly to events in some

purposeful way.

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Intelligent User Interfaces

The term intelligent also includes systems that have explicit human knowledge represented within them.

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Intelligent User Interfaces

In the sense that an intelligent interface responds flexibly to events, it can be thought of as

adaptive.

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The agent that performs the adaptation

the system specialistthe trained user/local

expertthe end userthe system itself

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The level of concern of the adaptation

perceptual and motor skillsuser goals and meaning the information environment

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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?

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What is the interface being intelligent about?

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

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To what purpose is change made?

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

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What is the protocol for agreeing change?

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

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Who has access to the knowledge employed?

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

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Achievements and challenges

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Adapting to the user

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"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

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Offer the user a tip

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contain a clear description of the rationale of the adaptationpresent comprehensive selection and definition

opportunitiesoffer a survey of previously performed adaptationsallow for future changes to the adaptations.

Opperman 1992

Offer the user a tip but

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Adapting to the services

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Required in domains such as Process Control, where unpredictable events

occur

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Being intelligent about the services

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Being intelligent about the user's task and the availability of software

that could support it.

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End-user access to the knowledge in the interface

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Where an expert is working in a complex domain, in which the

knowledge is changing following testing, or discovery, then knowledge

refinement is critical.

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Beyond Intelligent Interfaces

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Beyond Intelligent InterfacesCo-operative Problem Solving

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Co-operative Problem Solving

Beyond user interfacesProblem articulation in context

Increasing “back-talk”The need for specialisation

Problem domain communications

Fischer and Reeves

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Beyond user interfaces

Fischer and Reeves

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Beyond user interfacesknowledge about the world

Fischer and Reeves

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Problem articulation in context

Fischer and Reeves

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Problem articulation in contextexploration shapes the situation

Fischer and Reeves

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Increasing “back-talk”

Fischer and Reeves

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Increasing “back-talk”

the need for high fidelity feedback

Fischer and Reeves

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The need for specialisation

Fischer and Reeves

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The need for specialisationmaking the information relevant to

the task

Fischer and Reeves

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Problem domain communications

Fischer and Reeves

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Problem domain communications providing domain-orientated

architectures

Fischer and Reeves

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Intelligent Interfaces and Beyond

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

poor.”