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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
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Book ChapterDOI
24 Oct 2018
TL;DR: The usability of a chatbot named iHelpr, developed to provide guided self-assessment, and tips for the following areas: stress, anxiety, depression, sleep, and self esteem, has been assessed.
Abstract: The aim of this paper is to assess the usability of a chatbot for mental health care within a social enterprise. Chatbots are becoming more prevalent in our daily lives, as we can now use them to book flights, manage savings, and check the weather. Chatbots are increasingly being used in mental health care, with the emergence of “virtual therapists”. In this study, the usability of a chatbot named iHelpr has been assessed. iHelpr has been developed to provide guided self-assessment, and tips for the following areas: stress, anxiety, depression, sleep, and self esteem. This study used a questionnaire developed by Chatbottest, and the System Usability Scale to assess the usability of iHelpr. The participants in this study enjoyed interacting with the chatbot, and found it easy to use. However, the study highlighted areas that need major improvements, such as Error Management and Intelligence. A list of recommendations has been developed to improve the usability of the iHelpr chatbot.

47 citations

Journal ArticleDOI
01 Aug 2013
TL;DR: Several metrics as predictors of deception in synchronous chat-based environments, where participants must often spontaneously formulate deceptive responses are investigated, are confirmed and the age of the participant moderates the influence of deception on response time.
Abstract: Computer-mediated deception is prevalent and may have serious consequences for individuals, organizations, and society. This article investigates several metrics as predictors of deception in synchronous chat-based environments, where participants must often spontaneously formulate deceptive responses. Based on cognitive load theory, we hypothesize that deception influences response time, word count, lexical diversity, and the number of times a chat message is edited. Using a custom chatbot to conduct interviews in an experiment, we collected 1,572 deceitful and 1,590 truthful chat-based responses. The results of the experiment confirm that deception is positively correlated with response time and the number of edits and negatively correlated to word count. Contrary to our prediction, we found that deception is not significantly correlated with lexical diversity. Furthermore, the age of the participant moderates the influence of deception on response time. Our results have implications for understanding deceit in chat-based communication and building deception-detection decision aids in chat-based systems.

46 citations

Journal ArticleDOI
01 Feb 2015
TL;DR: In this paper, the authors explore commercial applications of chatbots, as well as propose several measurement metrics to evaluate performance, usability and overall quality of an embodied conversational agent, and examine existing Polish-speaking commercial chatbots that work in the B2C sector, reach the widest possible range of users, and are presumably the most advanced commercial deployments of their creators.
Abstract: The aim of this paper is to explore commercial applications of chatbots, as well as to propose several measurement metrics to evaluate performance, usability and overall quality of an embodied conversational agent. On the basis of these metrics we examine existing Polish-speaking commercial chatbots that a) work in the B2C sector, b) reach the widest possible range of users, and c) are presumably the most advanced commercial deployments of their creators. We analyse various aspects of functioning of each embodied conversational agent: visual look, form of implementation on the website, speech synthesis unit, built-in knowledge base (with general and specialized information), presentation of knowledge and additional functionalities, conversational abilities and context sensitiveness, personality traits, personalization options, emergency responses in unexpected situations, possibility of rating chatbot and the website by the user. Our study reveals the current condition of Polish market of commercial virtual assistants and emphasizes the importance of a multidimensional evaluation of any commercial chatbot deployment.

46 citations

Journal ArticleDOI
TL;DR: The authors investigated the impact of using a newly developed ChatBot to learn Chinese vocabularies and found that ChatBot has potential as a language learning tool, especially for learning Chinese vocabulary.
Abstract: ChatBot has potential as a language learning tool, especially for learning Chinese vocabulary. This study aimed to investigate the impact of using a newly developed ChatBot to learn Chinese vocabul...

46 citations

Book ChapterDOI
22 Jul 2007
TL;DR: This work observed the communication between humans and the chatbots, and then between humans, applying the same methods in both cases to develop a realistic and helpful chatbot.
Abstract: Service oriented chatbot systems are designed to help users access information from a website more easily. The system uses natural language responses to deliver the relevant information, acting like a customer service representative. In order to understand what users expect from such a system and how they interact with it we carried out two experiments which highlighted different aspects of interaction. We observed the communication between humans and the chatbots, and then between humans, applying the same methods in both cases. These findings have enabled us to focus on aspects of the system which directly affect the user, meaning that we can further develop a realistic and helpful chatbot.

46 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023916
20221,413
2021564
2020617
2019528
2018326