Jurika Shakya

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Successful mixed initiative systems employ mechanisms that explicitly recognize opportunities for initiatives among the system and the users. In this paper, we propose a theory based framework, founded on the principles of Self Regulated Learning, that recognizes strategies and tactics learners used in their interactions. These interactions are observed(More)
Mixed initiative systems rely on knowledge both to know when to take the initiative and to be helpful when they have the initiative. Knowledge is usefully applied data and there is a huge amount of data available in computing systems on almost any topic. However, data is not always able to be usefully applied to a particular situation. This can occur(More)
As part of their education, Computer Science students develop hundreds of computer programs and receive only summative feedback on the end results of their program designs and code. We demonstrate a need for a formative feedback mixed-initiative system able to reflect on the progress of students and identify opportunities to prompt students when they(More)
We provide a general definition of mixed-initiative for application to the area of computer games. This definition is used to provide a survey of the ways in which mixed-initiative has been applied to games up to this point, and where and how mixed-initiative could be applied to improve the quality of games in the future. The need for algorithmic content(More)
Online help technologies range from sophisticated graphical interfaces that guide users, to proactive and intelligent tutorial interactions. Introducing ready, able, and willing human helpers in help scenarios has proven to be an important milestone in help technologies. In this paper we argue how techniques of mixed-initiative interactions can be(More)
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