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Добірка наукової літератури з теми "Assistant conversationnel"

Автор: Grafiati

Опубліковано: 7 липня 2024

Оновлено: 7 липня 2024

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Статті в журналах з теми "Assistant conversationnel"

1

xuetao, Mao, Jean-Paul Sansonnet, and François Bouchet. "Définition d’un agent conversationnel assistant d’applications internet à partir d’un corpus de requêtes." Techniques et sciences informatiques 29, no. 10 (2010): 1123–54. http://dx.doi.org/10.3166/tsi.29.1123-1154.

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2

Bickmore, Timothy W., Stefán Ólafsson, and Teresa K. O'Leary. "Mitigating Patient and Consumer Safety Risks When Using Conversational Assistants for Medical Information: Exploratory Mixed Methods Experiment." Journal of Medical Internet Research 23, no. 11 (2021): e30704. http://dx.doi.org/10.2196/30704.

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Анотація:

Background Prior studies have demonstrated the safety risks when patients and consumers use conversational assistants such as Apple’s Siri and Amazon’s Alexa for obtaining medical information. Objective The aim of this study is to evaluate two approaches to reducing the likelihood that patients or consumers will act on the potentially harmful medical information they receive from conversational assistants. Methods Participants were given medical problems to pose to conversational assistants that had been previously demonstrated to result in potentially harmful recommendations. Each conversatio

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3

L, Manigandan, and Sivakumar Alur. "Mapping the Research Landscape of Chatbots, Conversational Agents, and Virtual Assistants in Business, Management, and Accounting: A Bibliometric Review." Qubahan Academic Journal 3, no. 4 (2023): 502–13. http://dx.doi.org/10.58429/qaj.v3n4a252.

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Анотація:

This bibliometric review aims to map the research landscape of chatbots, conversational agents, and virtual assistants in the business, management, and accounting of the subject area. The review begins by examining the growth of research in this area over time, revealing an increasing interest in the application of chatbots, conversational agents, and virtual assistants in business, management, and accounting contexts. This study aims to contribute to the field of chatbot research by conducting a bibliometric analysis of chatbot, conversational agent and virtual assistant papers available in t

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4

Ansari, Tarique. "Conversational AI Assistant." International Journal for Research in Applied Science and Engineering Technology 10, no. 11 (2022): 1169–72. http://dx.doi.org/10.22214/ijraset.2022.47554.

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Abstract: A conversational assistant is an intelligent conversational computing system designed to mimic human speech to provide automated online guidance and support. The growing benefits of conversational support have led to widespread adoption across many industries to provide virtual support to their customers. Conversation assistance uses methods and algorithms from his two fields of artificial intelligence: natural language processing and machine learning. However, the application has many challenges and limitations. This research reviews recent advances in conversation support using art

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5

Geetha, Dr V., Dr C. K. Gomathy*, Mr Kottamasu Manasa Sri Vardhan, and Mr Nukala Pavan Kumar. "The Voice Enabled Personal Assistant for Pc using Python." International Journal of Engineering and Advanced Technology 10, no. 4 (2021): 162–65. http://dx.doi.org/10.35940/ijeat.d2425.0410421.

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Анотація:

Personal Assistants, or conversational interfaces, or chat bots reinvent a new way for individuals to interact with computes. A Personal Virtual Assistant allows a user to simply ask questions in the same manner that they would address a human, and are even capable of doing some basic tasks like opening apps, reading out news, taking notes etc., with just a voice command. Personal Assistants like Google Assistant, Alexa, Siri wo

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6

Khandave, Vrushali. "HOMMIE: CONVERSATIONAL AI ASSISTANT." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem30718.

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Анотація:

Conversational AI assistants have witnessed remarkable progress in recent years, transforming human-computer interaction across a spectrum of applications. This paper offers a comprehensive overview of the state-of-the-art techniques, methodologies, and challenges in the field. We examine the core components of conversational AI, including natural language understanding, dialogue management, and response generation. Additionally, we address key challenges such as context modeling, personalization, and ethical considerations. The paper serves as a roadmap for researchers and developers, highlig

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7

Minh, Nguyen Thi Hong, and Le Duy Khanh. "Using Artificial Intelligence Tools for Developing Conversational Skills for English Majors." European Modern Studies Journal 8, no. 2 (2024): 461–69. http://dx.doi.org/10.59573/emsj.8(2).2024.40.

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Despite the potential of Virtual Conversation Assistants as effective tools for conversing support in developing students’ conversational skills, their presence in Vietnamese schools or universities remains limited, often due to cost constraints, quality of language interaction, and their unpopularity among Vietnamese students. Therefore, it is essential that English language educators seek alternative strategies to offer additional assistance for the enhancement of students' abilities to converse effectively. This experimental study pilots the implementation of Call Annie and Praktika, two ar

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8

Ortiz, Charles L. "Holistic Conversational Assistants." AI Magazine 39, no. 1 (2018): 88–90. http://dx.doi.org/10.1609/aimag.v39i1.2771.

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Анотація:

This column describes work being done at Nuance Communication in developing virtual personal assistants (VPAs) that can engage in extended task center dialogues and the involve the coordination of many complex modules, along with conversational and collaborative support to such VPAs.

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9

Pappula, Sharmila Reddy, and Sathwik Rao Allam. "LLMs for Conversational AI: Enhancing Chatbots and Virtual Assistants." International Journal of Research Publication and Reviews 4, no. 12 (2023): 1601–11. http://dx.doi.org/10.55248/gengpi.4.1223.123425.

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10

Parikh, Soham, Quaizar Vohra, and Mitul Tiwari. "Automated Utterance Generation." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 08 (2020): 13344–49. http://dx.doi.org/10.1609/aaai.v34i08.7047.

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Анотація:

Conversational AI assistants are becoming popular and question-answering is an important part of any conversational assistant. Using relevant utterances as features in question-answering has shown to improve both the precision and recall for retrieving the right answer by a conversational assistant. Hence, utterance generation has become an important problem with the goal of generating relevant utterances (sentences or phrases) from a knowledge base article that consists of a title and a description. However, generating good utterances usually requires a lot of manual effort, creating the need

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