Conversational Agents: Goals, Technologies, Vision And Challenges
Di: Everly

Healthcare is one of the most important sectors of our society, and during the COVID-19 pandemic a new challenge emerged—how to support people safely and effectively
The Evolution and Potential of Conversational Agents in Healthcare
Conversational agents: goals, technologies, vision and challenges. Sensors (Basel Switzerland), vol 21(24). Crossref. Google Scholar [5] Androutsopoulos I, Ritchie GD, and Thanisch P
Due to advances in technology, conversational agents are emerging as intelligent spoken dialogue systems that simulate natural conversation with human beings. A growing body of
that may benefit from conversational agents are introduced. Keywords: smart environments; human–agent interaction; conversational agents 1. Introduction Conversational agents (CA)
It has long been a goal in computer science to make computers more accessible and more natural to interact with, by making computing more human-like (1, 2).Work on
Background Individuals with visual impairments often encounter significant accessibility challenges in using mobile health (mHealth) technologies such as apps and
- Chatbots: An Overview of Current Issues and Challenges
- The benefits and dangers of anthropomorphic conversational agents
- Conversational agents in business: A systematic literature review and
- Conversational-agent applications.
The review followed a guideline for systematic reviews to present the literature of the last decade, emphasizing business perspectives such as domains, goals, and challenges,
Why Conversational Agents Matter More Than Ever
To address this issue, utilising Conversational Agents (CAs) presents an opportunity to improve scalability and adoption by improving efficiency and engagement. Thus,
Conversational agents, which are frequently used as chatbots and virtual or AI helpers, show how computational linguistics is used in everyday life. It can be challenging to pinpoint the
Addressing this research gap, this paper introduces an approach for adaptive human-AI interaction or communication, particularly conversational agents. Drawing inspiration
In this sense, conversational agents execute a vital role in facilitating engagement, which is a major goal of the technology developer (Wargnier et al., 2015). Conversational agents may be
Capable of conducting ongoing communication with humans, CAs are encountered in natural-language processing, deep learning, and technologies that integrate emotional aspects. The
Explore millions of resources from scholarly journals, books, newspapers, videos and more, on the ProQuest Platform.
Goals, Technologies, Vision and Challenges,Sensors
The research article „Conversational Agents: Goals, Technologies, Vision and Challenges“ by Allouch et al. (2021) provides a comprehensive overview of the potential of CAs, the
In recent years, conversational agents (CAs) have become ubiquitous and are a presence in our daily routines. It seems that the technology has finally ripened
Chatbots or conversational agents have recently received a new boost, not least due to advances in the field of artificial intelligence (AI). Media reports on individual
Capable of conducting ongoing communication with humans, CAs are encountered in natural-language processing, deep learning, and technologies that integrate emotional aspects. The
Allouch M, Azaria A, Azoulay R. Conversational Agents: Goals, Technologies, Vision and Challenges. Sensors . 2021; 21(24):8448. https://doi.org/10.3390/s21248448
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Request PDF | On Jan 1, 2021, Ahlam Alnefaie and others published An Overview of Conversational Agent: Applications, Challenges and Future Directions | Find, read and cite all

Conversational-agent applications.
2.3 Benefits and Challenges of Conversational Agents in Healthcare. The use of conversational agents in healthcare offers several benefits, but it also comes with certain
The field of business shows an increasing interest in exploring conversational agents to improve service quality and market competitiveness. Furthermore, the advances in
A conversational agent is a virtual entity that engages in conversations with users, utilizing voice or visual tools to analyze behavior and facilitate communication, often mimicking human
One school of thought is that consumer AI agents will interact with a centralized aggregator site, whose own agents will do the job of seeking out product details, reviews,
Discover how conversational agents are revolutionizing customer engagement and training, providing instant responses, personalization, and improved ROI.
Conversational agents (CA) are agents that interact with users via written or spoken natural language. CAs accept as input natural language as speech, text, or video; in addition, they may receive input from several different sensors.
This study explores the enhancement of user experience (UX) and trust in advanced Large Language Model (LLM)-based conversational agents such as ChatGPT. The research involves
3.9 6.8 Conversational Agents: Goals, Technologies, Vision and Challenges Merav Allouch, Amos Azaria and Rina Azoulay Special Issue Human-Computer Interaction in Smart Environments
Computer Science, Jerusalem College of Technology – Cited by 1,158 – Artificial Intelligence – Auctions – Algorithms – Agents – Machine Learning
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