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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
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Journal ArticleDOI
TL;DR: In this article, a college inquiry chat bot, a fast, standard and informative widget to enhance college website's user experience and provide effective information to the user, is presented, it has an effective user interface and answers the queries related to examination cell, admission, academics, users attendance and grade point average, placement cell and other miscellaneous activities.
Abstract: For using software applications, user interfaces that can be used includes command line, graphical user interface (GUI), menu driven, form-based, natural language, etc. The mainstream user interfaces include GUI and web-based, but occasionally the need for an alternative user interface arises. A chatbot based conversational user interface fits into this space. The chatbot is a class of bots that have existed in the chat platforms. The user can interact with them via graphical interfaces or widgets, and the trend is in this direction. They generally provide a stateful service i.e. the application saves data of each session. On a college’s website, one often doesn’t know where to search for some kind of information. It becomes difficult to extract information for a person who is not a student or employee there. The solution to these comes up with a college inquiry chat bot, a fast, standard and informative widget to enhance college website’s user experience and provide effective information to the user. Chat bots are an intelligent system being developed using artificial intelligence (AI) and natural language processing (NLP) algorithms. It has an effective user interface and answers the queries related to examination cell, admission, academics, users’ attendance and grade point average, placement cell and other miscellaneous activities.

9 citations

Journal ArticleDOI
TL;DR: In this article , the authors explored consumer response mechanisms to different types of service failures and recovery strategies of chatbots based on role congruity theory and psychological accounting theory and found that consumers are more inclined for the chatbot to be involved in service recovery.

9 citations

Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors used social response theory to detect the continuous intention mechanism behind fintech chatbots, including social capital (social cues) and attitudes toward fintECH chatbots to describe how social cues based on social response theories evoke users' social behaviors, which in turn may affect continuous intention.

9 citations

Journal ArticleDOI
TL;DR: In this article , the authors developed and evaluated the usability of a chatbot designed for pairing with online ED screening, which aimed to promote mental health service utilization by improving motivation for treatment and selfefficacy among individuals with eating disorders.
Abstract: A significant gap exists between those who need and those who receive care for eating disorders (EDs). Novel solutions are needed to encourage service use and address treatment barriers. This study developed and evaluated the usability of a chatbot designed for pairing with online ED screening. The tool aimed to promote mental health service utilization by improving motivation for treatment and self-efficacy among individuals with EDs.A chatbot prototype, Alex, was designed using decision trees and theoretically-informed components: psychoeducation, motivational interviewing, personalized recommendations, and repeated administration. Usability testing was conducted over four iterative cycles, with user feedback informing refinements to the next iteration. Post-testing, participants (N= 21) completed the System Usability Scale (SUS), the Usefulness, Satisfaction, and Ease of Use Questionnaire (USE), and a semi-structured interview.Interview feedback detailed chatbot aspects participants enjoyed and aspects necessitating improvement. Feedback converged on four themes: user experience, chatbot qualities, chatbot content, and ease of use. Following refinements, users described Alex as humanlike, supportive, and encouraging. Content was perceived as novel and personally relevant. USE scores across domains were generally above average (~5 out of 7), and SUS scores indicated "good" to "excellent" usability across cycles, with the final iteration receiving the highest average score.Overall, participants generally reflected positively on interactions with Alex, including the initial version. Refinements between cycles further improved user experiences. This study provides preliminary evidence of the feasibility and acceptance of a chatbot designed to promote motivation for and use of services among individuals with EDs.Low rates of service utilization and treatment have been observed among individuals following online eating disorder screening. Tools are needed, including scalable, digital options, that can be easily paired with screening, to improve motivation for addressing eating disorders and promote service utilization.

9 citations


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