Results 51 to 60 of about 1,301,013 (293)

The role of conversational AI agents in providing support and social care for isolated individuals

Alexandria Engineering Journal
Social isolation and loneliness pose significant challenges to individual well-being and public health. Conversational AI agents have emerged as a promising tool for addressing social isolation by providing personalized support and companionship to ...
Jaber O. Alotaibi, Amer S. Alshahre
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Robust and Scalable Conversational AI

Companion Proceedings of the Web Conference 2020, 2020
Even conversational systems have attracted a lot of attention recently, the current systems sometimes fail due to the errors from different components. This keynote talk presents following research directions for improving robustness and scalability of conversational systems: 1) we first focus on learning language embeddings specifically for spoken ...
openaire   +2 more sources

Software engineering education in the era of conversational AI: current trends and future directions

Frontiers in Artificial Intelligence
The developments in conversational AI raised urgent questions about the future direction of many aspects of society, including computing education. The first reactions to the fast-paced evolution of conversational agents were varied: Some announced “the ...
Cigdem Sengul, Rumyana Neykova, Giuseppe Destefanis   +2 more
doaj   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Perspectives for Evaluating Conversational AI

CoRR, 2017
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 define 'success' in the case of conversational AI and equally tricky part is to use ...
Mahipal Jadeja, Neelanshi Varia
openaire   +2 more sources

Conversational artificial intelligence in the operating room: an exploratory cross-sectional single-center survey among anesthesiology residents

BMC Anesthesiology
Background Conversational artificial intelligence (AI) tools, such as large language models and chat-based systems, are increasingly used by clinicians and trainees.
Dario Gaetano, Viola Lomonaco, Salvatore Ferraioli, Vincenzo Pota, Umberto Colella, Maria Caterina Pace, Pasquale Sansone   +6 more
doaj   +1 more source

A Q Methodological Study on Algorithmic Intimacy, Social Connection, Well-Being, and the Boundaries of Autonomy in University Students’ Conversational Artificial Intelligence Experiences

Behavioral Sciences
This study explores how university students experience conversational artificial intelligence (AI) in the era of generative AI from the perspectives of algorithmic intimacy, social connection, well-being, and autonomy, and identifies their subjective ...
Kyoung Yeon Moon, Taeeun Shim
doaj   +1 more source

Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot

Advanced Robotics Research, EarlyView.
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini, Elena Adelucci, Stefano Scatigna, Lorenzo Pugi, Alice Bruni, Benedetta Carotenuto, Chiara Pecini, Filippo Cavallo   +7 more
wiley   +1 more source

Semantic and pragmatic precision in conversational AI systems

Frontiers in Artificial Intelligence, 2023
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.
Harry Bunt, Volha Petukhova
doaj   +1 more source