A Survey of Design Techniques for Conversational Agents

Ramesh, Kiran; Ravishankaran, Surya; Joshi, Avinash; Chandrasekaran, K.

doi:10.1007/978-981-10-6544-6_31

Cited by 127 publications

(86 citation statements)

References 12 publications

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“…We can indeed distinguish several different kinds of those applications, as discussed by Gao et al (2019): question-answering agents (single shot interaction, complex query), task-oriented dialogue agents (slot-filling or formfilling), chatbots (end to end conversation). Another classification of chatbots is offered by Ramesh et al (2017).…”

Section: Chatbots Intelligent Agents and Conversational Interfacesmentioning

confidence: 99%

Submitting surveys via a conversational interface: An evaluation of user acceptance and approach effectiveness

Celino

Calegari

2020

International Journal of Human-Computer Studies

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Conversational interfaces are currently on the rise: more and more applications rely on a chat-like interaction pattern to increase their acceptability and to improve user experience. Also in the area of questionnaire design and administration, interaction design is increasingly looked at as an important ingredient of a digital solution. For those reasons, we designed and developed a conversational survey tool to administer questionnaires with a colloquial form through a chat-like Web interface.In this paper, we present the evaluation results of our approach, taking into account both the user point of view -by assessing user acceptance and preferences in terms of survey compilation experience -and the survey design perspective -by investigating the effectiveness of a conversational survey in comparison to a traditional questionnaire. We show that users clearly appreciate the conversational form and prefer it over a traditional approach and that, from a data collection point of view, the conversational method shows the same reliability and a higher response quality with respect to a traditional questionnaire.

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Section: Chatbots Intelligent Agents and Conversational Interfacesmentioning

confidence: 99%

Submitting surveys via a conversational interface: An evaluation of user acceptance and approach effectiveness

Celino

Calegari

2020

International Journal of Human-Computer Studies

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“…The fourteen collected papers present twelve different Arabic chatbot applications, that classified and evaluated in a manner similar to what is applied here [12], [8], [9]. Based on the data type a chatbot processes, it is classified into two categories, text and speech conversation chatbot.…”

Section: Arabic Chatbot Related Workmentioning

confidence: 99%

“…Ontology [8] is a set of interconnected hierarchy classes. The knowledge base can be described as a graph that contains classes, each class describes the concepts and the properties.…”

Section: Introductionmentioning

confidence: 99%

“…The Markov Chain Model [8] depend on the probability of occurrence of a word or letter in the input text, this method helps in building responses that are probabilistically more suitable and hence more correct. For example, if an input text is "xyyyzxyzyyyzy", then the Markov model of order 0 predicts that letter "x" occurs with a probability 2/13.…”

Section: Introductionmentioning

confidence: 99%

“…ChatScript [8], [9] aims to be easier to maintain than AIML by focusing on better syntax, it fixes the zero-word matching problems. The Chatscript first finds the best topic that matches the user query string and executes a rule in that topic.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Arabic Chatbots: A Survey

Alhumoud¹,

Wazrah²,

Aldamegh³

2018

ijacsa

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Abstract-A Chatbot is a programmed entity that handles human-like conversations between an artificial agent and humans. This conversation has attracted the attention of researchers who are interested in the interaction between humans and machines to make the conversation more rational and hence pass the Turing test. The available research done in the field of Arabic chatbots is comparably scarce. This paper presents a review of the published Arabic chatbots studies to identify the gap of knowledge and to highlight the areas that needs more study and research. This study concluded the rarity of available research on Arabic chatbots and that all available works are retrieval based.

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A critical review of state‐of‐the‐art chatbot designs and applications

Luo

Lau

et al. 2021

WIREs Data Min & Knowl

126

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Chatbots are intelligent conversational agents that can interact with users through natural languages. As chatbots can perform a variety of tasks, many companies have committed numerous resources to develop and deploy chatbots to enhance various business processes. However, we lack an up‐to‐date critical review that thoroughly examines both state‐of‐the‐art technologies and innovative applications of chatbots. In this review, we not only critically analyze the various computational approaches used to develop state‐of‐the‐art chatbots, but also thoroughly review the usability and applications of chatbots for various business sectors. We also identify gaps in chatbot‐related studies and propose new research directions to address the shortcomings of existing studies and applications. Our review advances both academic research and practical business applications of state‐of‐the‐art chatbots. We provide guidance for practitioners to fully realize the business value of chatbots and assist in making sensible decisions related to the development and deployment of chatbots in various business contexts. Researchers interested in the design and development of chatbots can also gain useful insights from our critical review and identify fruitful research topics and future research directions based on the research gaps discussed herein. This article is categorized under: Technologies > Machine Learning Application Areas > Business and Industry

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A Survey of Design Techniques for Conversational Agents

Cited by 127 publications

References 12 publications

Submitting surveys via a conversational interface: An evaluation of user acceptance and approach effectiveness

Submitting surveys via a conversational interface: An evaluation of user acceptance and approach effectiveness

Arabic Chatbots: A Survey

A critical review of state‐of‐the‐art chatbot designs and applications

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