26 papers · ranked by Valyu relevance
Gunther Eysenbach, Ahmet Kocaballi, Elda Judica, Lorainne Tudor Car + 6 more
'Dhakshenya Ardhithy Dhinagaran' 'Bhone Myint Kyaw' 'Tobias Kowatsch' 'Shafiq Joty' 'Yin-Leng Theng' 'Rifat Atun'] Background Conversational agents, also known as chatbots, are computer programs designed to simulate human text or verbal conversations. They are increasingly used in a range of fields, including health…
Merav Allouch, Amos Azaria, Rina Azoulay, Carina Soledad González González
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…
Gunther Eysenbach, Wenhui Zhang, Kok-Leong Ong, Theresa Schachner + 2 more
Background A rising number of conversational agents or chatbots are equipped with artificial intelligence (AI) architecture. They are increasingly prevalent in health care applications such as those providing education and support to patients with chronic diseases, one of the leading causes of death in the 21st…
Harry Bunt, Volha Petukhova
For a conversational agent, to display intelligent interactive behavior implies the ability to respond to the user's intentions and expectations with correct, consistent and relevant actions with appropriate form and content in a timely fashion. In this paper, we present a data-driven analytical approach to embed…
Vinayak Mathur, Arpit Singh
Conversational agents have become ubiquitous, ranging from goal-oriented systems for helping with reservations to chit-chat models found in modern virtual assistants. In this survey paper, we explore this fascinating field. We look at some of the pioneering work that defined the field and gradually move to the current…
Leigh Clark, Nadia Pantidi, Orla Cooney, Philip Doyle + 7 more
'Diego Garaialde' 'Justin Edwards' 'Brendan Spillane' 'Christine Murad' 'Cosmin Munteanu' 'Vincent Wade' 'Benjamin R. Cowan'] Conversational agents promise conversational interaction but fail to deliver. Efforts often emulate functional rules from human speech, without considering key characteristics that conversation…
Lucrezia Grassi, Carmine Tommaso Recchiuto, Antonio Sgorbissa
The article proposes a system for knowledge-based conversation designed for Social Robots and other conversational agents. The proposed system relies on an Ontology for the description of all concepts that may be relevant conversation topics, as well as their mutual relationships. The article focuses on the algorithm…
John Torous, Robert Marshall, Xinyan Zhao, Anna Hartford + 1 more
The focus of debates about conversational artificial intelligence (CAI) has largely been on social and ethical concerns that arise when we speak to machines-what is gained and what is lost when we replace our human interlocutors, including our human therapists, with AI. In this viewpoint, we focus instead on a distinct…
Mahipal Jadeja, Neelanshi Varia, Agam Shah
Deep reinforcement learning is revolutionizing the articial intelligence eld. Currently, it serves as a good starting point for constructing intelligent autonomous systems which oer a beer knowledge of the visual world. It is possible to scale deep reinforcement learning with the use of deep learning and do amazing…
Mahipal Jadeja, Neelanshi Varia
Conversational AI systems are becoming famous in day to day lives. In this paper, we are trying to address the following key question: To identify whether design, as well as development efforts for search oriented conversational AI are successful or not. It is tricky to dene 'success' in the case of conversational AI…
Mattias Wahde, Marco Virgolin
In this chapter, we provide a review of conversational agents (CAs), discussing chatbots, intended for casual conversation with a user, as well as task-oriented agents that generally engage in discussions intended to reach one or several specific goals, often (but not always) within a specific domain. We also consider…
Johan Aronsson, Philip Lu, Daniel Strüber, Thorsten Berger
Conversational Artificial Intelligence (AI) systems have recently sky-rocketed in popularity and are now used in many applications, from car assistants to customer support. The development of conversational AI systems is supported by a large variety of software platforms, all with similar goals, but different focus…
Bing Liu, Sahisnu Mazumder
Dialogue systems, also called chatbots, are now used in a wide range of applications. However, they still have some major weaknesses. One key weakness is that they are typically trained from manually-labeled data and/or written with handcrafted rules, and their knowledge bases (KBs) are also compiled by human experts.…
Pankaj Rajdeo, Shunya Asanuma, Michal Kouril, Peixin Lu + 5 more
Single-cell and spatial omics offer unprecedented opportunities to decipher the mechanisms of disease, however, this process requires teams of experts, iterative trial-and-error and reasoning across modalities. Here we present LungChat (https://chat.lungmap.net), a conversational system for integrated multi-omics…
Francesca Alloatti, Alessio Bosca, Luigi Di Caro, Fabrizio Pieraccini
'Fabrizio Pieraccini'] One of the key aspects in the process of caring for people with diabetes is Therapeutic Education (TE). TE is a teaching process for training patients so that they can self-manage their care plan. Alongside traditional methods of providing educational content, there are now alternative forms of…
Sarah Theres Völkel, Daniel Buschek, Malin Eiband, Benjamin R. Cowan + 1 more
'Heinrich Hußmann'] We present a dialogue elicitation study to assess how users envision conversations with a perfect voice assistant (VA). In an online survey, N=205 participants were prompted with everyday scenarios, and wrote the lines of both user and VA in dialogues that they imagined as perfect. We analysed the…
Elisha Liu, Chen-Yu Liu
Conversational agents for bioinformatics data analysis and interpretation remain largely inaccessible to the broader biological research community. This gap is especially pronounced in the current Generative AI era, which demands a paradigm shift in how researchers interact with computational tools. There is a pressing…
Authors not listed
Bioprocess engineering has incorporated effective AI applications in recent years that consist of traditional approaches to training models on relevant data to then analyze and predict new and unseen data. The missing component has been the ability to process mixed data from an assortment of dissimilar information…
Rui Yip, Young Joo Sun, Alexander G. Bassuk, Vinit B. Mahajan
There is a growing number of articles about conversational AI (i.e., ChatGPT) for generating scientific literature reviews and summaries. Yet, comparative evidence lags its wide adoption by many clinicians and researchers. We explored ChatGPT’s utility for literature search from an end-user perspective through the lens…
Nephi Walton, Sara Gracefo, Nykole Sutherland, Beth A. Kozel + 2 more
Genetic disorders are complex and can greatly impact an individual’s health and well-being. In this study, we assess the ability of ChatGPT, a language model developed by OpenAI, to answer questions related to three specific genetic disorders: BRCA1, MLH1, and HFE. ChatGPT has shown it can supply articulate answers to…
Authors not listed
As the utilization of artificial intelligence (AI) and generative AI (GenAI) is expanding in the educational field, presenting significant implications for STEM disciplines, it is bringing opportunities to enhance how chemistry and chemical engineering are taught and learned. This perspective critically explores the…
Camilla Di Pasquasio, Lila De Pellegrin, Arthur Pineaud, Antonin Marty + 1 more
Discussion is a fundamental social activity requiring coordination of speech between interlocutors. Speech production is a complex human behaviour that involves several anatomo-physiological processes, including inspiration and expiration. The aim of the present study is to investigate the neurophysiological…
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The value of generative artificial intelligence (AI) for teaching and learning is currently hotly debated. Concerns regarding the accuracy of information produced by generative AI as well as student over-reliance on this tool coexist with excitement about tailored opportunities that AI may provide for educational…
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Agentic artificial intelligence (AI) is poised to redefine how science is conducted, automating not just data analysis but the entire research lifecycle, from hypothesis generation to validation. Yet most current AI agents remain domain-bound, tailored to specific applications such as materials synthesis or quantum…
Etienne Abassi, Robert J. Zatorre
Social interactions occupy a significant part of life, and understanding others’ conversations is key to navigating our social world. While the role of semantics in speech comprehension is well-established at the word or sentence level, its influence on larger conversational scales, alongside social context, is less…
Authors not listed
This article proposes a three-level classification of artificial intelligence (AI) application in chemical sciences, reflecting the increasing degree of technology involvement in scientific and production processes: from automation of routine tasks (the level of "AI Assistant"), to the creation of specialized…