Table 1

Characteristics of AI chatbots

Design dimensionChatbots’ characteristic(s)DefinitionReferences
FunctionNatural language processingThe ability of an AI chatbot to communicate in a human-like mannerLebeuf et al. (2019), Meyer von Wolff et al. (2019) 
Learning agentThe ability of an AI chatbot to learn from a user’s input. This relies on the machine learning incorporated into the chatbot’s architecture. The learning may be supervised, reinforced or unsupervisedBenbya et al. (2020), McTear (2017) 
FormConversational interactionInteractive two-way communication. The performance of an AI chatbot’s actions can be user-driven (reactive) or chatbot-driven (proactive or autonomous)Chaves and Gerosa (2021), Gnewuch et al. (2017) 
Social presenceThe feeling of virtual togetherness or “being with another” (Biocca et al., 2003) and the ability to react to human queries, which is likely to be influenced by the anthropomorphic interface componentsBiocca et al. (2003), Qiu and Benbasat (2009), Toader et al. (2020) 
EmbodimentAI chatbots could have virtual or physical representation or could be disembodiedAraujo (2018), Diederich et al. (2019) 

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