A Work Context Perspective on Mixed Initiative Intelligent Systems

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Transcription:

Jörg Cassens Norwegian University of Science and Technology (NTNU) (D/I/S) A Work Context Perspective on Mixed Initiative Intelligent Systems Workshop on Mixed-Initiative Intelligent Systems Acapulco, Mexico, 2003

Overview Context why care? Three Perspectives Walkthrough by Example Work Process View HCI System View HCI Interface View Wrapping up Questions

Why Context? IT Systems are used

Why Context? IT Systems are used Often in settings where work was done even before the system was introduced For specific purposes/tasks which the system has to support By users with specific needs and qualifications The design of IT systems should take these aspects into account (old news)

AI systems are different Analyzing the conceptual differences between non-ai tools and AI systems Integrating an understanding of AI systems into analysis of workplace situations Integrating an understanding of workplace situations into design of AI systems Here: Focus on Mixed-Initiative aspects

Three Perspectives Work Process Actor Network Theory HCI System Activity Theory System in Workplace HCI Interface Semiotics

Example Application A diagnostic system for oil drilling Used to monitor the drilling process in order to identify critical situations (like when the oil drill can get stuck) Collaborates with human users (Operator, experts at shore and on the rigg) Type: knowledge-intensive Case-Based Reasoning system

Actor Network Theory Humans and non-humans linked together, driven by actors' interests Translation: Actors interests translated into technical or social arrangements Inscription: Result of the translation of one's interest into material form Subscription: Acceptance of the inscribed interests by other actor

ANT: Example Use ANT to describe the organizational standards for dealing with critical conditions and identify situations where the diagnostic system should intervene Control issue: Understanding how the initiative for a task is shared between different human actors gives hints how do it with a technical artifact

Activity Theory Hierarchy of Activities Activity: topmost level. An example for individual activity is a hotel check-in Actions: Activities consists of collections of actions; performed consciously Operations: Actions consist of collections of non-conscious operations Change in breakdown situations and through automation of actions

Activity Theory: Example Some situations might occur quite frequently, the user tends to know them Activity Theory captures change over time Evolvement issue: shift of modii operandi In the beginning, it is important to explain in detail why a particular case was matched Same match will be explained in less detail when occurring very frequently

Semiotics User Computer Sign Human-Computer Interaction

Semiotics User Computer Sign Signal Human-Computer Interaction

Semiotics AI System acts-if part of sign process Knowledge Level Symbol Level User Computer Sign Signal Human-Computer Interaction

Semiotics: Example Incorporate new knowledge into the system by enhancing the domain knowledge System finds new explanations Communication issue: Find a way to suggest probable candidates for new causal explanations to user in a way that strengthens the user's believe in the system's sign-processing capabilities

Wrap up Context influences System Design Three Perspectives on Work Context Oil Drilling Example Work Process View Actor Network Theory HCI System View Activity Theory HCI Interface View Semiotics Wrapping up Questions

Thanks. Questions? jorg.cassens@idi.ntnu.no http://www.idi.ntnu.no/~cassens/