PurposeAdolescents report high asthma-related morbidity that can be prevented by adequate self-management of the disease. Therefore, there is a need for a developmentally appropriate strategy to promote effective asthma self-management. Mobile phone-based technology is portable, commonly accessible, and well received by adolescents. The purpose of this study was to develop and evaluate the feasibility and acceptability of a comprehensive mobile phone-based asthma self-management aid for adolescents (mASMAA) that was designed to facilitate symptom monitoring, treatment adherence, and adolescent–parent partnership. The system used state-of-the-art natural language-understanding technology that allowed teens to use unconstrained English in their texts, and to self-initiate interactions with the system.Materials and methodsmASMAA was developed based on an existing natural dialogue system that supports broad coverage of everyday natural conversation in English. Fifteen adolescent–parent dyads participated in a 2-week trial that involved adolescents’ daily scheduled and unscheduled interactions with mASMAA and parents responding to daily reports on adolescents’ asthma condition automatically generated by mASMAA. Subsequently, four focus groups were conducted to systematically obtain user feedback on the system. Frequency data on the daily usage of mASMAA over the 2-week period were tabulated, and content analysis was conducted for focus group interview data.ResultsResponse rates for daily text messages were 81%–97% in adolescents. The average number of self-initiated messages to mASMAA was 19 per adolescent. Symptoms were the most common topic of teen-initiated messages. Participants concurred that use of mASMAA improved awareness of symptoms and triggers, promoted treatment adherence and sense of control, and facilitated adolescent–parent partnerships.ConclusionThis study demonstrates the utility and user acceptability of mASMAA as a potential asthma self-management tool in a selective group of adolescents. Further research is needed to replicate the findings in a large group of adolescents from sociodemographically diverse backgrounds to validate the findings.

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Abstract-We describe CARDIAC, a prototype for an intelligent conversational assistant that provides health monitoring for chronic heart failure patients. CARDIAC supports user initiative through its ability to understand natural language and connect it to intention recognition. The spoken language interface allows patients to interact with CARDIAC without special training. We present speech recognition results obtained during an evaluation with fourteen chronic heart failure patients.

We describe a graphical logical form as a semantic representation for text understanding. This representation was designed to bridge the gap between highly expressive "deep" representations of logical forms and more shallow semantic encodings such as word senses and semantic relations. We also present an evaluation metric for the representation and report on the current performance on the TRIPS parser on the common task paragraphs.

We describe design and prototyping efforts for a Personal Health Management Assistant for heart failure patients as part of Project HealthDesign. An assistant is more than simply an application. An assistant understands what its users need to do, interacts naturally with them, reacts to what they say and do, and is proactive in helping them manage their health. In this project, we focused on heart failure, which is not only a prevalent and economically significant disease, but also one that is very amenable to self-care. Working with patients, and building on our prior experience with conversational assistants, we designed and developed a prototype system that helps heart failure patients record objective and subjective observations using spoken natural language conversation. Our experience suggests that it is feasible to build such systems and that patients would use them. The system is designed to support rapid application to other self-care settings.