1 research outputs found
A simplistic approach to keyhole plan recognition
When applying plan recognition to Human - Computer Interaction, one
must cope with users exhibiting a large amount of reactive behaviour:
users that change tasks, or change strategies for achieving tasks.
Most current approaches to keyhole plan recognition do not address
this problem. We describe an application domain for plan recognition,
where users exhibit reactive rather than plan-based behaviour, and
where existing approaches to plan recognition do not perform well.
In order to enable plan recognition in this domain, we have developed
an extremely simplistic mechanism for keyhole plan recognition,
"intention guessing". The algorithm is based on descriptions of
observable behaviour, and is able to recognize certain instances of
plan failures, suboptimal plans and erroneous actions. At run-time,
the algorithm only keeps track of a limited number of the most recent
actions, which makes the algorithm "forgetful". This property makes
the algorithm suitable for domains where users frequently change
strategies