Most of context models have limited capability in involving human intention for system evolvability and
self-adaptability. Human intention in context aware systems can evolve at any time, however, context
aware systems based on these context models can provide only standard services that are often insufficient
for specific user needs. Consequently, evolving human intentions result in changes in system requirements.
Moreover, an intention must be analyzed from tangled relations with different types of contexts.
In the past, this complexity has prevented researchers from using computational methods for analyzing
or specifying human intention in context aware system design. The authors investigated the possibility
for inferring human intentions from contexts and situations, and deploying appropriate services that
users require during system run-time. This chapter first focus on describing an inference ontology to
represent stepwise inference tasks to detect an intention change and then discuss how context aware
systems can accommodate requirements for the intention change.