2020
DOI: 10.1016/j.patrec.2019.11.035
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Enhancing sentient embodied conversational agents with machine learning

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Cited by 14 publications
(19 citation statements)
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“…Another issue raised during the evaluation was that mainly during the journalist task children sometimes did not know the meaning of a concept, which they found frustrating. As a result, we are designing a new version of the app that includes an embodied conversational agent, thereby allowing children to ask and talk about CP tasks and energy related concepts [50].…”
Section: Discussionmentioning
confidence: 99%
“…Another issue raised during the evaluation was that mainly during the journalist task children sometimes did not know the meaning of a concept, which they found frustrating. As a result, we are designing a new version of the app that includes an embodied conversational agent, thereby allowing children to ask and talk about CP tasks and energy related concepts [50].…”
Section: Discussionmentioning
confidence: 99%
“…However, the main challenges for wide adaptation of PGHD in clinical practice include usability (i.e., integration, interoperability with existing EHRs) and sustainable quality of results (i.e., patient motivation and adherence) [21,37] In order to address the interoperability and suitability of the collected resources we delivered a FHIR Methodology. The system presented includes patient/clinician mobile applications, an OHC FHIR server, and the MSN.…”
Section: Discussionmentioning
confidence: 99%
“…The other challenge related to the integration of PGHD relate to the patient's perspective; i.e., long-term sustainability and quality of collected information [36,37]. Familiarity, perceived complexity, and trustworthiness represent the main drivers of patient adher-ence [38].…”
Section: Discussionmentioning
confidence: 99%
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