A Survey on Conversational Agents/Chatbots Classification and Design Techniques

Hussain, Shafquat; Sianaki, Omid Ameri; Ababneh, Nedal

doi:10.1007/978-3-030-15035-8_93

Cited by 181 publications

(141 citation statements)

References 17 publications

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“…CAs can also differentiate between and interpret the emotions of individuals within team communication (McDuff and Czerwinski 2018) and use different language styles to adapt to users (Gnewuch et al 2020). These methods create a natural way of communication, in which users feel like talking to another human, thus indicating that CAs are inherently anthropomorphic (Feine et al 2019;Hussain et al 2019;Pfeuffer et al 2019). Research further demonstrates that CAs are able to assist in decision making (Seeber et al 2020b;Waizenegger et al 2020) and are perceived as legitimate team members (Seeber et al 2018).…”

Section: Conversational Agents As Hybrid Intelligencementioning

confidence: 99%

Hybrid intelligence in hospitals: towards a research agenda for collaboration

2021

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Successful collaboration between clinicians is particularly relevant regarding the quality of care process. In this context, the utilization of hybrid intelligence, such as conversational agents (CAs), is a reasonable approach for the coordination of diverse tasks. While there is a great deal of literature involving collaboration, little effort has been made to integrate previous findings and evaluate research when applying CAs in hospitals. By conducting an extended and systematic literature review and semi-structured expert interviews, we identified four major challenges and derived propositions where in-depth research is needed: 1) audience and interdependency; 2) connectivity and embodiment; 3) trust and transparency; and 4) security, privacy, and ethics. The results are helpful for researchers as we discuss directions for future research on CAs for collaboration in a hospital setting enhancing team performance. Practitioners will be able to understand which difficulties must be considered before the actual application of CAs.

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Section: Conversational Agents As Hybrid Intelligencementioning

confidence: 99%

Hybrid intelligence in hospitals: towards a research agenda for collaboration

2021

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“…There are many approaches to the development of chatbots 3 , and the choice relies on the type of service and experience the developer plans to deliver to its users. From this perspective, there are generally two categories of chatbots, i) task-oriented, which are designed to serve specific tasks in a specific domain, e.g., a weather chatbot, and ii) chit-chat bots, which tend to serve no specific purpose but aim at holding open-domain conversations with users.…”

Section: Chatbot Design Dimensionsmentioning

confidence: 99%

“…So far, chatbot development has been studied considering different aspects of design, such as interaction model, application domain, goal-orientation, and dialog management 3 . Existing surveys have analyzed popular chatbot systems and chatbot frameworks (e.g., Harms et al 2 ).…”

mentioning

confidence: 99%

Chatbot Integration in Few Patterns

Báez

Daniel

Casati

et al. 2021

IEEE Internet Comput.

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Chatbots are software agents that are able to interact with humans in natural language. Their intuitive interaction paradigm is expected to significantly reshape the software landscape of tomorrow, while already today chatbots are invading a multitude of scenarios and contexts. This article takes a developer's perspective, identifies a set of architectural patterns that capture different chatbot integration scenarios, and reviews state-ofthe-art development aids. This paper was written with the precious contribution of co-author Florian Daniel, who passed away a few days after completing this manuscript for submission. We remember him here. 1

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“…Chatbots or conversational agents are computer programs that enable people to communicate with the system naturally, communicating in sentences, as they would with other humans [4,9,11,23]. Often, this software is used to provide a more intuitive interface for retrieval of information or learning [5,6,7], but it can also be used just for entertainment or provide companionship for lonely people [13,20].…”

Section: Chatbotsmentioning

confidence: 99%

Automated Translation Preference with a Bilingual Chatbot

Park

Aiken

2019

IJCT

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Free, online language translation services are being used by people around to the world to facilitate communication. However, it takes time and effort for a person to load the Web page in a browser, copy and paste text into the site, and translate words. The process quickly becomes tiresome. Instead, some computer programs are providing automated translation. However, no studies have been conducted to determine the efficiency or effectiveness of such an approach. In this study, we compare how students used an English-based chatbot with and without German automatic translation. Results show that students took nearly 1.5 times longer than their stated upper time limit to manually translate. In contrast, the automated translation was at least 30 times faster. In addition, the students were significantly more satisfied with the automated than the manual system.

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A Survey on Conversational Agents/Chatbots Classification and Design Techniques

Cited by 181 publications

References 17 publications

Hybrid intelligence in hospitals: towards a research agenda for collaboration

Hybrid intelligence in hospitals: towards a research agenda for collaboration

Chatbot Integration in Few Patterns

Automated Translation Preference with a Bilingual Chatbot

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