Characteristics of AI chatbots
| Design dimension | Chatbots’ characteristic(s) | Definition | References |
|---|---|---|---|
| Function | Natural language processing | The ability of an AI chatbot to communicate in a human-like manner | Lebeuf et al. (2019), Meyer von Wolff et al. (2019) |
| Learning agent | The 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 unsupervised | Benbya et al. (2020), McTear (2017) | |
| Form | Conversational interaction | Interactive 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 presence | The 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 components | Biocca et al. (2003), Qiu and Benbasat (2009), Toader et al. (2020) | |
| Embodiment | AI chatbots could have virtual or physical representation or could be disembodied | Araujo (2018), Diederich et al. (2019) |
| Design dimension | Chatbots’ characteristic(s) | Definition | References |
|---|---|---|---|
| Function | Natural language processing | The ability of an AI chatbot to communicate in a human-like manner | |
| Learning agent | The 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 unsupervised | ||
| Form | Conversational interaction | Interactive two-way communication. The performance of an AI chatbot’s actions can be user-driven (reactive) or chatbot-driven (proactive or autonomous) | |
| Social presence | The feeling of virtual togetherness or “being with another” ( | ||
| Embodiment | AI chatbots could have virtual or physical representation or could be disembodied |
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