2021 · 24 citations · 49 references
Artificial IntelligenceChatbotEngineeringIntelligent SystemsCommunicationNatural Language ProcessingInformation RetrievalConversational AgentsConversation AnalysisConversational User InterfaceHybrid System VariantsQuestion AnsweringDialogue ManagementChatbot Message SuggestionsConversational Recommender SystemComputer ScienceAutomationAi ChatbotsHuman-ai InteractionHybrid SystemsHuman-computer InteractionArtsConversational Artificial Intelligence
AI chatbots can offer suggestions to help humans answer questions by reducing text entry effort and providing relevant knowledge for unfamiliar questions. We study whether chatbot suggestions can help people answer knowledge-demanding questions in a conversation and influence response quality and efficiency. We conducted a large-scale crowdsourcing user study and evaluated 20 hybrid system variants and a human-only baseline. The hybrid systems used four chatbots of varied response quality and differed in the number of suggestions and whether to preset the message box with top suggestions.
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Sequence to Sequence Learning with Neural Networks
Ilya Sutskever, Oriol Vinyals, Quoc V. Le · arXiv (Cornell University) · 2014 · 13.3K citations · Full text
Personalizing Dialogue Agents: I have a dog, do you have pets too?
Saizheng Zhang, Emily Dinan, Jack Urbanek et al. · 2018 · 1.2K citations · Full text
Deep Reinforcement Learning for Dialogue Generation
Jiwei Li, Will Monroe, Alan Ritter et al. · 2016 · 1K citations · Full text