Why bother about bother: Is it worth it to ask the user?
Speaker: Robin Cohen
In this paper, we discuss the importance of modeling the potential
bother to the user, when reasoning about interaction in a mixed-initiative
setting. We summarize our previous work on modeling bother as one of
the costs of interaction, clarifying how to incorporate this estimated
cost when reasoning about whether to initiate interaction.
We then present a new method for modeling bother that appeals to
classifications of users according to their willingness and
attentional state and attaches a level of bother to the kind of task
being asked of the user, when interacting. We demonstrate the
usefulness of this model in the context of a multiagent system,
where each agent faces the challenge of estimating the bother
incurred by a user as a result of interactions from other agents.
This is accomplished by the introduction of proxy agents for each
user, to track the requests for interaction from multiple parties.
We discuss the tradeoff between more accurate bother cost information and
higher communication overhead, when reasoning about whether to initiate
interactions with users, as part of the collaborative problem solving.
Our conclusion is that bother is indeed important to model and that
it is in fact possible to effectively integrate consideration of
bother cost into methods for reasoning about interaction with users.
This is joint work with Michael Cheng (UW) and Michael Fleming (University
of New Brunswick).
To be presented at the AAAI Fall Joint Symposium on Mixed-Initiative
Problem Solving Assistants.