Topic
Chatbot
About: Chatbot is a research topic. Over the lifetime, 2415 publications have been published within this topic receiving 24372 citations. The topic is also known as: IM bot & AI chatbot.
Papers published on a yearly basis
Papers
More filters
TL;DR: In this article , the authors examine the main factors that shape customers' virtual flow experiences with AI-powered chatbots, including readability, transparency, personalisation, responsiveness, and ubiquitous connectivity.
15 citations
TL;DR: In this paper , an extended meta-UTAUT framework was proposed to investigate the gaps by including perceived intelligence and anthropomorphism (system factors) in the model, and the model was analyzed using structural equation modelling with 420 respondents.
15 citations
01 Dec 2020
TL;DR: In this paper, a blockchain empowered chatbot for financial transactions, called BONIK, is presented, and the developed Proof-of-Concept (PoC) is evaluated.
Abstract: A Chatbot is a popular platform to enable users to interact with a software or website to gather information or execute actions in an automated fashion. In recent years, chatbots are being used for executing financial transactions, however, there are a number of security issues, such as secure authentication, data integrity, system availability and transparency, that must be carefully handled for their wide-scale adoption. Recently, the blockchain technology, with a number of security advantages, has emerged as one of the foundational technologies with the potential to disrupt a number of application domains, particularly in the financial sector. In this paper, we forward the idea of integrating a chatbot with blockchain technology in the view to improve the security issues in financial chatbots. More specifically, we present BONIK, a blockchain empowered chatbot for financial transactions, and discuss its architecture and design choices. Furthermore, we explore the developed Proof-of-Concept (PoC), evaluate its performance, analyse how different security and privacy issues are mitigated using BONIK.
15 citations
01 Jan 2018
TL;DR: A task for formal human evaluation of chatbots that allows to test capabilities of chatbot in topic-oriented dialogue and demonstrates that current technology allows supporting dialogue on a given topic but with quality significantly lower than that of human.
Abstract: The first Conversational Intelligence Challenge was conducted over 2017 with finals at NIPS conference. The challenge IS aimed at evaluating the state of the art in non-goal-driven dialogue systems (chatbots) and collecting a large dataset of human-to-machine and human-to-human conversations manually labelled for quality. We established a task for formal human evaluation of chatbots that allows to test capabilities of chatbot in topic-oriented dialogue. Instead of traditional chit-chat, participating systems and humans were given a task to discuss a short text. Ten dialogue systems participated in the competition. The majority of them combined multiple conversational models such as question answering and chit-chat systems to make conversations more natural. The evaluation of chatbots was performed by human assessors. Almost 1,000 volunteers were attracted and over 4,000 dialogues were collected during the competition. Final score of the dialogue quality for the best bot was 2.7 compared to 3.8 for human. This demonstrates that current technology allows supporting dialogue on a given topic but with quality significantly lower than that of human. To close this gap we plan to continue the experiments by organising the next conversational intelligence competition. This future work will benefit from the data we collected and dialogue systems that we made available after the competition presented in the paper.
15 citations
TL;DR: In this article , the authors present a framework for future health chatbot initiatives, which includes a participatory methodology in combination with an iterative approach ensured that the patient perspective was incorporated at every level of the development process.
15 citations