2019
DOI: 10.1007/s12652-019-01180-x
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VICA, a visual counseling agent for emotional distress

Abstract: We present VICA, a Visual Counseling Agent designed to create an engaging multimedia face-to-face interaction. VICA 1 is a human-friendly agent equipped with high-performance voice conversation designed to help psychologically stressed users, to offload 2 their emotional burden. Such users specifically include non-computer-savvy elderly persons or clients. Our agent builds replies 3 exploiting interlocutor's utterances expressing such as wishes, obstacles, emotions, etc. Statements asking for confirmation, det… Show more

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Cited by 6 publications
(3 citation statements)
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“…AIML, firstly adopted by ALICE (Artificial Linguistic Internet Computer Entity), is an XML-compliant language that allows for efficient pattern matches in a tree structure for retrieving responses. Seminal therapy chatbots reported in the literature-VICA, a virtual agent equipped with voice-communication [35], a conversational agent for alcohol misuse intervention [36], and a counseling agent in the IT industry [37]-all applied AIML to build the chatbot. Vivibot [38], Woebot [39], and a virtual agent for post-traumatic stress disorder [40] also applied decision tree structures.…”
Section: Building Therapy Chatbot Modelsmentioning
confidence: 99%
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“…AIML, firstly adopted by ALICE (Artificial Linguistic Internet Computer Entity), is an XML-compliant language that allows for efficient pattern matches in a tree structure for retrieving responses. Seminal therapy chatbots reported in the literature-VICA, a virtual agent equipped with voice-communication [35], a conversational agent for alcohol misuse intervention [36], and a counseling agent in the IT industry [37]-all applied AIML to build the chatbot. Vivibot [38], Woebot [39], and a virtual agent for post-traumatic stress disorder [40] also applied decision tree structures.…”
Section: Building Therapy Chatbot Modelsmentioning
confidence: 99%
“…User experience. Research in therapy chatbots applied user research to evaluate user experience , including measuring users' trust and comfortability [35], emotional states [39,12,38], overall satisfaction [36], and acceptability and usability outcomes [39,4,40]. Several researchers used the Positive and Negative Affect Schedule (PANAS) to test emotional states [39,12,54].…”
Section: Evaluation Of Therapy Chatbotsmentioning
confidence: 99%
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