Semantic model for adaptive human-agent dialogues
2014 (English)Manuscript (preprint) (Other academic)
A common conversation between an older adult and a nurse about health-related issues includes topics such as troubles with sleep, reasons for walking around nighttime, pain conditions, etc. Such a dialogue can be regarded as a "natural" dialogue emerging from the participating agents' lines of thinking, their roles, needs and motives, while switching between topics as the dialogue unfolds. The purpose of this work is to define a generic model of purposeful human-agent dialogues suitable for health-related topics. This is done based on analyses of scenarios, personas and models of human behavior. The results include four models, which need to be included in a software agent's belief base; i) a user model, ii) a model of the domain knowledge related to the topic of the dialogue, iii) an agent model, and iv) a dialogue activity model. The models were implemented into a prototype system for human-agent dialogues, which was evaluated by therapists and a group of older adults.
Place, publisher, year, edition, pages
personalization, dialogue systems, health promotion, argumentation, intelligent agent, user model
IdentifiersURN: urn:nbn:se:umu:diva-96755OAI: oai:DiVA.org:umu-96755DiVA: diva2:767610