BLISS: An Agent for Collecting Spoken Dialogue data about Health and Well-being

  • Jelte Barachia van Waterschoot (Speaker)
  • Theune, M. (Contributor)
  • Iris Hendrickx (Contributor)
  • Arif Kahn (Speaker)

Activity: Talk or presentationOral presentation


An important objective in health-technology is the ability to gather information about people's well-being. Structured interviews can be used to obtain this information, but these are time-consuming and not scalable. Questionnaires provide an alternative way to extract such information, yet they typically lack depth. In this paper, we present our first prototype of the BLISS, an artificial intelligent agent which intends to automatically discover what makes people happy and healthy. The goal of BLISS is to understand the motivations behind people's happiness by conducting a personalized spoken dialogue based on a happiness model. We built our first prototype of the model to collect 55 spoken dialogues, in which the BLISS agent asked questions to users about their happiness and well-being. Apart from a description of the BLISS architecture, we also provide details about our dataset, which contains mentions of over 120 activities and 100 motivations and is made available for usage.
Period11 May 202016 May 2020
Event title12th Language Resources and Evaluation Conference, LREC 2020
Event typeConference
Conference number12
OrganiserEuropean Language Resources Association
LocationMarseille, FranceShow on map
Degree of RecognitionInternational


  • conversational
  • spoken dialog system
  • spoken Dutch
  • natural language generation
  • healthcare
  • happiness model