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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
17 Mar 2021
TL;DR: This paper conducted a controlled interactive information retrieval experiment following a within-subject design to compare a chatbot to a graphical search user interface (SUI) in terms of engagement and usability.
Abstract: Due to advances in natural language understanding, chatbots have become popular for assisting users in various tasks, for example, searching. Chatbots allow natural-language queries, which can be useful in case of complex information needs, and they provide a higher level of interactivity by displaying information in a dialog-like format. However, chatbots are often only used as auxiliaries for a graphical search user interface (SUI). Thus, they must be engaging and usable so that users both want to and are able to use them. In this study, we conduct a controlled interactive information retrieval experiment following a within-subject design to compare a chatbot to a graphical SUI in terms of engagement and usability. Our findings point towards the need for flawless usability in order for conversational search interfaces to (1) be able to provide additional value in information retrieval tasks and (2) elicit a higher level of engagement compared to their SUI-based counterparts.

10 citations

Proceedings ArticleDOI
01 Nov 2018
TL;DR: This paper is dedicated to improving the experience by experimental form of replacing whole design from traditional electronic forms into conversational design in form of a chatbot for university applications.
Abstract: Submission of an university application is nowadays mostly done electronically. Schools use this method to obtain required information from the student. We discovered that many students had problems with filling-out the university application and that the user experience of current systems is awful. This paper is dedicated to improving the experience by experimental form of replacing whole design from traditional electronic forms into conversational design in form of a chatbot. This design was compared to the current system used on the Technical University of Kosice by usability testing. In the evaluation we focused on whether this design shortened the fill-out time of the application, if applicants made less errors and if the user satisfaction was improved by the chatbot. There is still a lot to be done to allow replacement of the old system with this system, but our results suggest that a chatbot system could facilitate the submission of university applications.

10 citations

Proceedings ArticleDOI
16 Jun 2020
TL;DR: An evaluation framework for health systems whose core interaction principle is a CUI is introduced to support developers and researchers in the domain of chatbots in healthcare in selecting relevant quality attributes to be assessed before their systems are distributed to patients.
Abstract: Application of conversational user interfaces (CUI) or chatbots to healthcare is gaining interest fueled by the rising power of artificial intelligence, increasing popularity of mobile health applications and the desire for engagement and usability. While their use is mainly justified by increasing adherence to mobile health applications and facilitating interactions with the system, the question arises: How can such systems be evaluated in a reliable manner? This paper introduces an evaluation framework for health systems whose core interaction principle is a CUI. We derive quality dimensions and attributes by collecting relevant evaluation aspects from applications that have been developed in previous work and from literature on health chatbots. The collected aspects are aggregated into six thematic categories for chatbot quality, including user experience, linguistic, task-oriented and artificial intelligence perspectives, but also healthcare quality and system quality perspectives. The framework is intended to support developers and researchers in the domain of chatbots in healthcare in selecting relevant quality attributes to be assessed before their systems are distributed to patients.

10 citations

Journal ArticleDOI
TL;DR: In this paper , the role of social presence and human-likeness on learner motivation was examined through a chatbot lens, and participants' attitudes toward the potential role of artificial intelligence (AI)-assisted mobile applications were explored.
Abstract: Artificial Intelligence (AI) technology in the educational context, particularly chatbotics, has made significant changes in learning English. This mixed-methods study is intended to explore university students’ attitudes toward the potential role of artificial intelligence (AI)-assisted mobile applications. Meanwhile, the role of social presence and human-likeness on learner motivation was examined through a chatbot lens. A total of 256 English as a foreign language (EFL) learners interacted with a chatbot known as Computer Simulation in Educational Communication (CSIEC). Participants’ audio-recorded practices, transcriptions, three scales of social presence, learner motivation, and human-likeness, along with a semi-structured focus group interview, were used to collect data, Structural Equation Modeling (SEM) was used for data analysis. Moreover, thematic analysis was adopted to explore the participants’ attitudes and perceptions toward using CSIES. The quantitative results indicated that learner motivation was significantly predicted by social presence and human-likeness. The thematic analysis of qualitative data reflected that the attributed descriptions to the CSIEC teacher enhanced learners’ motivation, eagerness, and confidence to learn English. The findings of this study may be used to guide future research in using chatbots outside the classroom to serve as learning companions, and educators can utilize them to tailor assessment and feedback procedures.

10 citations

Journal ArticleDOI
TL;DR: In this paper , the authors introduce chatbot as a new tool of artificial intelligence (AI) and represent the feasibility of using it in different sections of libraries and present the challenges ahead of librarians in the face of this technology.
Abstract: Purpose The purpose of this paper is to introduce chatbot as a new tool of artificial intelligence (AI) and represent the feasibility of using it in different sections of libraries. Design/methodology/approach The present paper is a theoretical paper that was conducted by the library research method. In this paper, while reviewing various articles in the field of a chatbot, has been tried to identify practical usage of chatbot in library and information centers and also illustrate it. Findings Findings show that although chatbot is used in some libraries, but this use is limited. Libraries must use the capabilities of this powerful tool for their own purposes and provide the satisfaction of their users. In addition to the benefits of a chatbot, there are some challenges that should be considered by librarians. Originality/value Few articles have addressed the usage of AI tools such as chatbot in libraries. So, this paper is one of the few articles that express the usage of chatbot in different sections of the library and gives practical examples of their usage in some libraries, mentions the challenges ahead of librarians in the face of this technology.

10 citations


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