Litcius/Paper detail

Evaluating Human-AI Hybrid Conversational Systems with Chatbot Message Suggestions

Zihan Gao, Jiepu Jiang

202124 citationsDOI

Abstract

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.

Topics & Concepts

ChatbotCrowdsourcingConversationComputer scienceBaseline (sea)Quality (philosophy)Dialog systemHuman–computer interactionWorld Wide WebData sciencePsychologyCommunicationPhilosophyEpistemologyDialog boxGeologyOceanographySpeech and dialogue systemsAI in Service InteractionsTopic Modeling