Searched for: subject%3A%22Conversational%255C%252BAgent%22
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document
Albers, N. (author), Neerincx, M.A. (author), Brinkman, W.P. (author)
Despite their prevalence in eHealth applications for behavior change, persuasive messages tend to have small effects on behavior. Conditions or states (e.g., confidence, knowledge, motivation) and characteristics (e.g., gender, age, personality) of persuadees are two promising components for more effective algorithms for choosing persuasive...
conference paper 2023
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Qiu, S. (author), Gadiraju, Ujwal (author), Bozzon, A. (author)
Due to the coronavirus pandemic, remote work from home has rapidly become a necessity around the world, drastically changing the potential landscape for the future of work. Over the last couple of decades, microtask crowdsourcing has emerged as a viable means of carrying out remote online work to earn one’s living — an alternative to traditional...
conference paper 2020
document
Kucherbaev, P. (author), Bozzon, A. (author), Houben, G.J.P.M. (author)
A chatbot is an example of a text-based conversational agent. While natural language understanding and machine learning techniques advance rapidly, current fully automated chatbots still struggle to serve their users well. Human intelligence, brought by crowd workers, freelancers or even full-time employees can be embodied in the chatbot logic...
journal article 2018