The return of the chatbots
By R. Dale. Natural Language Engineering, 2016
403 citations recorded by the source corpus.
Abstract By all accounts, 2016 is the year of the chatbot. Some commentators take the view that chatbot technology will be so disruptive that it will eliminate the need for websites and apps. But chatbots have a long history. So what's new, and what's different this time? And is there an opportunity here to improve how our industry does technology transfer?
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/ab2463796a11e9f830ebf060f2b5912031a3efa7
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In Artificial Intelligence
Citations in the corpus
- MamaBot: a System based on ML and NLP for supporting Women and Families during Pregnancy (2018, neutral): “The concept of the chatbot has gained increasing attention in the last few years [16].”
- Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation (2017, neutral): “…related to, for instance, image-to-text generation, while applications related to social media seem to be just around the corner, as witness, for instance, the emergence of nlg-related techniques for automatic content-creation as well as nlg for twitter and chatbots (e.g., Dale, 2016).”
- Conversational AI: Social and Ethical Considerations (2019, neutral): “The year 2016, dubbed the “Year of the Bot” after Microsoft CEO Satya Nadella described bots as the new apps, saw the launch of more than 30,000 chatbots on the Facebook Messenger platform alone [8] [11].”
- Conversational robo advisors as surrogates of trust: onboarding experience, firm perception, and consumer financial decision making (2020, neutral): “…advances in artificial intelligence and natural language processing have given rise to conversational interfaces, or so called AI-enabled “chatbots” (Dale 2016; Davenport et al. 2020; Thomaz et al. 2020), that use a retrieval-based dialogue system that emulates the characteristics of…”
- How Should My Chatbot Interact? A Survey on Social Characteristics in Human–Chatbot Interaction Design (2019, positive): “In the chatbots domain, personality refers to the set of traits that determines the agent’s interaction style, describes its character, and allows the end-user to understand its general behavior (De Angeli, Johnson, & Coventry, 2001). Chatbots with consistent personality are more predictable and tru”
- Why People Use Chatbots (2017, neutral): “Dale discusses “the return of chatbots” in recent years and discusses how the current interest in this technology is rooted in previous work on natural language user interfaces [1].”
- An Overview of Chatbot Technology (2020, neutral): “Soonwewillliveinaworldwhereconversationalpartnerswillbehumansorchatbots, and in many cases, we will not know and will not care what our conversational partner will be [27].”
- Chatbots and the new world of HCI (2017, neutral): “This is particularly visible in recent developments in chatbots, that is, machine agents serving as natural-language user interfaces to data and service providers [1], typically in the context of messaging applications.”