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pro vyhledávání: '"Arjmand, Mehdi"'
We introduce a novel application of large language models (LLMs) in developing a virtual counselor capable of conducting motivational interviewing (MI) for alcohol use counseling. Access to effective counseling remains limited, particularly for subst
Externí odkaz:
http://arxiv.org/abs/2407.08095
We introduce the concept of "empathic grounding" in conversational agents as an extension of Clark's conceptualization of grounding in conversation in which the grounding criterion includes listener empathy for the speaker's affective state. Empathic
Externí odkaz:
http://arxiv.org/abs/2407.01824
Autor:
Yun, Hye Sun, Arjmand, Mehdi, Sherlock, Phillip, Paasche-Orlow, Michael K., Griffith, James W., Bickmore, Timothy
Standardized, validated questionnaires are vital tools in research and healthcare, offering dependable self-report data. Prior work has revealed that virtual agent-administered questionnaires are almost equivalent to self-administered ones in an elec
Externí odkaz:
http://arxiv.org/abs/2311.12707
Multimodal language analysis is a burgeoning field of NLP that aims to simultaneously model a speaker's words, acoustical annotations, and facial expressions. In this area, lexicon features usually outperform other modalities because they are pre-tra
Externí odkaz:
http://arxiv.org/abs/2109.05522
Akademický článek
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Publikováno v:
In International Journal of Greenhouse Gas Control December 2015 43:179-188
Autor:
Jing, Dazheng, Arjmand, Mehdi, Mattisson, Tobias, Rydén, Magnus, Snijkers, Frans, Leion, Henrik, Lyngfelt, Anders
Publikováno v:
In International Journal of Greenhouse Gas Control October 2014 29:70-81
Publikováno v:
In Chemical Engineering Research and Design September 2014 92(9):1753-1770
Publikováno v:
In Energy Procedia 2014 51:75-84
Publikováno v:
In Applied Energy January 2014 113:1883-1894