Chatbot Testing Using AI Planning

Božić, Josip; Tazl, Oliver A.; Wotawa, Franz

doi:10.1109/aitest.2019.00-10

Cited by 41 publications

(31 citation statements)

References 8 publications

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“…All the elaborated studies aim to smoothly handle high volumes of customers [37], simplify the use of chatbots for end-users (i.e., investigating and identifying new ways to drive the user through a booking [32]), finding the right answers [33] and the right -tone-aware-approach [18]) and satisfying the functional requirements indicated by the service providers (i.e., enhance the system performance [3], automating and testing new functionalities [3], and improve the data collection (i.e., preferences and feedback [18,37]). Although in most cases, the chatbots aim at satisfying any kind of user interacting with them, some tourism offices targeted the Millennials as an unquestionable vector of information and technology itself, impending dedicated chatbot-campaigns over social media and a major messaging platform (i.e., Telegram) [1].…”

Section: Srq3 and Srq4: Application Scenario And Recipientsmentioning

confidence: 99%

“…CBTs also require a remarkable technical knowledge. For example, modelling user and system dynamics [3], identifying and designing the right architecture [2], modelling and automating processes and testing [3,29], and modelling and implementing data collection, compliance, and organization [2,17,35].…”

Section: Srq5: Desideratamentioning

confidence: 99%

“…Furthermore, seamlessly transferring the conversation from the chatbot to a human operator agent is extremely needed if it is stalled [17]. Finally, other issues to mention are solving ambiguities, data and error handling [17], and monitoring and evaluating the chatbot effectiveness and efficiency [3].…”

Section: Srq5: Desideratamentioning

confidence: 99%

See 2 more Smart Citations

The Evolution of Chatbots in Tourism: A Systematic Literature Review

Calvaresi

Kineber

Calbimonte

et al. 2021

Information and Communication Technologies in Tourism 2021

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In the last decade, Information and Communication Technologies have revolutionized the tourism and hospitality sector. One of the latest innovations shaping new dynamics and fostering a remarkable behavioral change in the interaction between the service provider and the tourist is the employment of increasingly sophisticated chatbots. This work analyzes the most recent systems presented in the literature (since 2016) investigated via 12 research questions. The often appreciated quick evolution of such solutions is the primary outcome. However, such technological and financial fast-pace requires continuous investments, upskilling, and system innovation to tackle the eTourism challenges, which are shifting towards new dimensions.

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Section: Srq3 and Srq4: Application Scenario And Recipientsmentioning

confidence: 99%

Section: Srq5: Desideratamentioning

confidence: 99%

See 1 more Smart Citation

The Evolution of Chatbots in Tourism: A Systematic Literature Review

Calvaresi

Kineber

Calbimonte

et al. 2021

Information and Communication Technologies in Tourism 2021

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show abstract

“…The chatbot is a software agent based on artificial intelligence which is used in conversation between users and software robot [2]. This agent can interact with human carefully using NLP as a basic to produce this process [32]. Chatbot is a simulation of human user conversations especially over the Internet, but it is possible to apply it as an offline software for specific purposes, such as travelling guide, education or self-learning of languages [33].…”

Section: Chatbotsmentioning

confidence: 99%

Design and Implementation of a Chatbot for Kurdish Language Speakers Using Chatfuel Platform

Ahmed

Hussein

2021

KJAR

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Chatbot is a software agent that is used to conduct intelligent conversations between machines and humans. Chatbots are mostly depend on Natural Language Processing (NLP). In this paper, the design and implementation of a chatbot are provided to help Kurdish speakers in using online conversations via texts to find answers instead of direct contact with human agents. The NLP-based software agent is implemented using the Chatfuel platform. Chatfuel uses artificial intelligence to communicate with humans by simulating human conversations through voice commands or texts. The proposed chatbot is tested on an electronic tourist guide that helps visitors to the religious places in the mountainous village of Barzanja that is located in Iraqi Kurdistan. The case study is conducted by using three-hundred questions and answers. One hundred volunteers participated in this study. The participant asks a question and the bot provides an answer if it recognizes the question, otherwise it provides a default answer along with a suggestion of how to use the system properly. The data of these experiment is collected, analyzed, and problems regarding Kurdish language are detected. Designing software agents for processing Kurdish texts faces many challenges. Kurdish texts have not yet been processed using natural language processing (NLP). In addition, Kurdish font disorder and the lack of standardized keyboards and writing styles makes processing Kurdish text difficult. Furthermore, Kurdish language consists of variety of different dialects with different typing styles. In this research, we specifically focus on the design of a software agent for the Central Kurdish (Sorani) dialect. We managed to solve some of the problems related to the Kurdish language and suggest solutions to others.

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“…In this stép, inténtions aré préséntéd to idéntify thé actions that must bé followéd according to thé undérstanding of thé natural languagé that was obtainéd in thé usér's méssagé [18]. Accordingly, to thé décision tréé préséntéd in Fig.…”

Section: Importing Intentions Into Chatbotunclassified

Chatbot Based Solution for Supporting Software Incident Management Process

Filho¹,

Rossi²

2020

JSW

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A sét of stéps for impléménting a chatbot, to support décision-making activitiés in thé softwaré incidént managémént procéss is proposéd and discusséd in this articlé. Each stép is préséntéd indépéndéntly of thé platform uséd for thé construction of chatbots and aré détailéd with théir réspéctivé activitiés. Thé proposéd stéps can bé carriéd out in a continuous and adaptablé way, favoring thé constant training of a chatbot and allowing thé incréasingly cohésivé intérprétation of thé inténtions of thé spécialists who work in thé Softwaré Incidént Managémént Procéss. Thé softwaré incidént résolution procéss accordingly to thé ITIL framéwork, is considéréd for thé éxpérimént. Thé résults of thé work présént thé stéps for thé chatbot construction, thé solution baséd on DialogFlow platform and somé conclusions baséd on thé éxpérimént.

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Chatbot Testing Using AI Planning

Cited by 41 publications

References 8 publications

The Evolution of Chatbots in Tourism: A Systematic Literature Review

The Evolution of Chatbots in Tourism: A Systematic Literature Review

Design and Implementation of a Chatbot for Kurdish Language Speakers Using Chatfuel Platform

Chatbot Based Solution for Supporting Software Incident Management Process

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