Results 61 to 70 of about 1,651,875 (285)
Enhancing service interactions with conversational agents [PDF]
In recent years, technological developments have radically changed the nature of services. Technology is increasingly being used to replace or support human service employees. This has advantages for customers and service providers.
van Pinxteren, Michelle Maria Elisabeth +2 more
core +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
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 +3 more
wiley +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
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
Conversational agents are intelligent, ubiquitous software applications widely used across various sectors, such as commerce, tourism, and more. Their key benefits include automating tasks, improving customer service, and ensuring service availability ...
Charaf Ouaddi +5 more
doaj +1 more source
Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot
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 +7 more
wiley +1 more source
Building a Social Conversational Pedagogical Agent
This chapter discusses design challenges encountered when developing a conversational pedagogical agent. By tracing the historical roots of pedagogical agents in Intelligent Tutoring Systems (ITS), we discern central developments in creating an agent ...
Annika Silvervarg +9 more
core +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
In recent years, there has been growing optimism about the potential of conversational agents, such as chatbots and social robots, in mental healthcare. Their scalability offers a promising solution to some of the key limitations of the dominant model of
Arthur Bran Herbener +3 more
doaj +1 more source
Conversational Agents: Goals, Technologies, Vision and Challenges
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 ...
Merav Allouch, Amos Azaria, Rina Azoulay
doaj +1 more source
Motivations, Classification and Model Trial of Conversational Agents for Insurance Companies
S.19-30Advances in artificial intelligence have renewed interest in conversational agents. So-called chatbots have reached maturity for industrial applications.
Graziotin, Daniel +5 more
core +1 more source

