Spoken Language Understanding in a Nutrition ARCVES Dialogue System

@inproceedings{Korpusik2015SpokenLU,
  title={Spoken Language Understanding in a Nutrition ARCVES Dialogue System},
  author={Mandy Korpusik and Franklin W. Olin},
  year={2015}
}
Existing approaches for the prevention and treatment of obesity are hampered by the lack of accurate, low-burden methods for self-assessment of food intake, especially for hard-to-reach, low-literate populations. For this reason, we propose a novel approach to diet tracking that utilizes speech understanding and dialogue technology in order to enable efficient self-assessment of energy and nutrient consumption. We are interested in studying whether speech can lower user workload compared to… CONTINUE READING

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