Improving trust in context aware applications with intelligibility
Since context aware applications use implicit sensing and increasingly complex decision making, they may make mistakes or users may misunderstand their actions. This may hinder trust and adoption of context aware applications. We hypothesize that making these applications intelligible by explaining themselves to users would help counter this lack of trust. The proposed thesis would contribute to context aware computing by (i) understanding the need to explain these applications to users, (ii) understanding the benefits and trade offs of providing intelligibility, and (iii) providing toolkit support intelligibility to ultimately improve the trust, adoption of, and sustained use context aware systems.
UbiComp '10 Adjunct