Grounded on the empirical findings, we derive a mechanistic model for the adaptive information dynamics in complex human–AI interaction systems governed by these fundamental mechanisms. It allows us to predict critical transitions between three states: diversification, partial information cocoons, and ...
In this respect, HAR systems implementation is guided by two main streams of human computer interaction technologies: (1) Contact-based and, (2) Remote methods [214]. Contact-based systems require the physical interaction of the user with the command acquisition machine or device [131]. These ...
Over 35 years ago, when Fodor and Pylyshyn raised the issue of systematicity in neural networks1, today’s models19and their language skills were probably unimaginable. As a credit to Fodor and Pylyshyn’s prescience, the systematicity debate has endured. Systematicity continues to challenge models1...
investigations in this area. Second, by centering the discussion of AI marketing applications on artificial empathy, we unite the need for algorithmic optimization and automation with the experiential aspect of the consumer-AI interaction (Puntoni et al.2021) to create a common purpose and framework...
and refine messages before delivering them to human recipients. Two notable processes are “Human–AI Interaction” and “Human–Computer Interaction” (Sundar & Lee, 2022, p. 381). The former encompasses both input and output in AI use, while the latter pertains to AI’s role in generating...
As robots have become more pervasive in our daily life, natural human-robot interaction (HRI) has had a positive impact on the development of robotics. Thus, there has been growing interest in the development of vision-based hand gesture recognition for HRI to bridge human-robot barriers. The...
and many more. HAR plays an important role in interpersonal relations and human-to-human interactions. For a fluent and natural human-robot interaction, robots are required to have the potential of HAR techniques and can recognize the intentions of action and imitate the actions of people for a...
The transfer of task knowledge is ubiquitous in our daily lives, where various types of interaction occur. Such an interactive task knowledge transfer, however, requires that an instructor and a learner to be at the same place and time. If we use a robot to mediate between them, such limita...
Looking at language In their quest to develop an AI system that could automatically learn a model from multiple related datasets, the researchers chose to explore the interaction of phonology (the study of sound patterns) and morphology (the study of word structure). Data from linguistics textbooks...
it would alter its connections so that it could make a better prediction of what comes next the next time around. Familiar modern AI systems work in much the same way. Using a prediction-based format, large language models, or LLMs, are able to produce impressivelong-form text-based respon...