I review literature from second language acquisition (SLA) theory, L2 teaching approaches, computer-assisted language learning, and human-AI interaction, and identify five research questions that focus on knowledge gaps relating to the use of conversational AI for L2 learning.The research questions ...
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 ...
Organizations must seek out technology vendors that ground their human resources AI tools in the principles of transparency, explainability, and fairness. For example, in talent acquisition, a responsibly managed AI tool will have built-in bias checks that identify and remove subjective language, ...
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...
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...
18. Similar to what has happened in the computer era, AI technology has enabled a new sort of CHMI2 collaborative interaction that would eventually lead to a paradigmatic shift in CHMI² application areas in the AI era, resulting in new design thinking and approaches to AI system ...
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. Thu
Human activity recognition(HAR) has been a very activeresearch topicin the past two decades for its applications in various fields such as health, remote monitoring, gaming, security and surveillance, and human-computer interaction. Activity recognition can be defined as the ability to recognize/dete...
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...
ai pave the way to true collaboration with intelligent machines. for instance, some organizations are using textio collaboratively within teams to reimagine talent acquisition and attraction. these organizations had found that, due to the collaborative process of writing job descriptions, final job ...