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Conversational Agents: Goals, Technologies, Vision and Challenges
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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 to advance the use of CAs in various domains, including commercial, healthcare, educational, political, industrial, and personal domains. In this study, the main areas in which CAs are successful are described along with the main technologies that enable the creation of CAs. Capable of conducting ongoing communication with humans, CAs are encountered in natural-language processing, deep learning, and technologies that integrate emotional aspects. The technologies used for the evaluation of CAs and publicly available datasets are outlined. In addition, several areas for future research are identified to address moral and security issues, given the current state of CA-related technological developments. The uniqueness of our review is that an overview of the concepts and building blocks of CAs is provided, and CAs are categorized according to their abilities and main application domains. In addition, the primary tools and datasets that may be useful for the development and evaluation of CAs of different categories are described. Finally, some thoughts and directions for future research are provided, and domains that may benefit from conversational agents are introduced.
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“the trends with conversational agents outside of the education sector tend to have more focus on leveraging machine learning techniques, utilising cutting edge technological concepts such as neural networks, internet of things (IoT) and advanced API's to create more powerful and advanced conversational agents”
From Pedagogical AI conversational agents in higher education: a conceptual framework and survey of the state of the art (2025) · cites this paper as Allouch et al., 2021
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Metadata
- Authors
- Allouch, M., Azaria, A., & Azoulay, R.
- Affiliations
- Ariel University (IL)
- Jerusalem College of Technology (IL)
- Corresponding author
- Azoulay, Rina
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2021-12-17
- Volume
- 21
- Issue
- 24
- Pages
- 8448
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC8704682
- OpenAlex
- W4200588694
- Cited by
- 168
- References
- 213
- Citations by year
- 2026: 35 · 2025: 45 · 2024: 44 · 2023: 31 · 2022: 12
- FWCI
- 1.57
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sensors (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Keywords
- chatbots, natural language processing, deep learning, affective computing, ethical considerations, security challenges
- MeSH terms
- Communication, Goals, Humans, Natural Language Processing, Technology, Vision, Ocular
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