Current history education faces challenges in cultivating student immersion and knowledge retention. This study introduces an innovative educational game, "Study with Confucius", which blends traditional Chinese cultural education with AI technology. The ...

Large language models (LLMs) have achieved impressive performance on code generation. Although prior studies enhanced LLMs with prompting techniques and code refinement, they still struggle with complex programming problems due to rigid solution plans. ...

The relation extraction (RE) in complex scenarios faces challenges such as diverse relation types and ambiguous relations between entities within a single sentence, leading to the poor performance of pure "text-in, text-out" language models (LMs). To ...

In this paper, a modified consensus protocol algorithm is proposed for controlling a group of identical unmanned aerial vehicles (UAVs), which have been subjected to interfering signals during coordinate information exchange, using an unknown ...

Augmented Reality (AR) and Virtual Reality (VR) are essential tools for researchers and practitioners, serving purposes from training to entertainment: many of these applications rely on agents. This study explores the impact of agent characteristics on ...

This paper introduces a portable, gamified exercise system with an embedded agent, specifically designed to aid the elderly in lower-body workouts using stationary bikes. The system integrates a custom-made Internet of Things (IoT) sensing unit, a ...

This study explores the value of using virtual humans (VHs) to mask real entities within augmented reality (AR) interactive environments. We believe that one ultimate solution to bridge the gap between virtual and real worlds is to enable virtual ...

DNS error reporting is a lightweight reporting mechanism that provides the operator of an authoritative server with reports on DNS resource records that fail to resolve or validate. A domain owner or DNS hosting organization can use these reports to ...

State-of-the-art intelligent and interactive agents, such as Alexa or Siri, often present overly conforming behaviour during interactions with humans. This can result in a misalignment between end-user expectations and agent behaviour. To overcome this ...

The application of multiagent reinforcement learning technology to solve the problem of intrusion detection in the Internet of Things (IoT) systems is considered. Three models of a multiagent intrusion detection system are implemented: a ...

In many countries (including Japan), birthrates are declining and populations are aging. The declining 18-year-old population is a problem for university education. High-quality university education is essential for the development of a country's ...

Humanoid robot agents can help humans perform a wide range of services. Mainly, they can maintain the quality of their service paths while delivering objects and improving personnel support and allocation. However, a programmatic system is necessary to ...

In this paper, we explore how expressive auditory gestures added to the speech of a pedagogical agent influence the human-agent relationship and learning outcomes. In a between-subjects experiment, 41 participants assumed the role of a tutor to teach a ...

Mobile navigation has become a ubiquitous technology through mobile devices and smartphones. One of these devices’ most-used navigation methods is the turn-by-turn method, first used in car-based navigation systems. However, pedestrians and cyclists ...

Since online discussion platforms can limit the perception of social cues, effective collaboration over videochat requires additional attention to conversational skills. However, self-affirmation and defensive bias theories indicate that feedback may ...

The article describes the method for automatization of procurement notices (tenders) monitoring, analysis and classification. This method is aimed at simplification and reduction of labor costs for search, gathering and subsequent analysis of ...

With the universalization of online shopping, virtual try-on based on 2D images has become a popular research direction. The current virtual try-on technology mainly researches the same category of changing clothes, such as originally wearing short ...

Machine Learning (ML) is more than just training models, the whole life-cycle must be considered. Once deployed, a ML model needs to be constantly managed, supervised and debugged to guarantee its availability, validity and robustness in dynamic ...

Social media has become a popular communication platform on which shared content such as images form a large part of the communicated data. Yet, shared images can reveal sensitive information in the sense that the data after its publication remains ...

The Internet of Things (IoT) is a major technological development likely to have a profound effect on all aspects of society. Among other things, it promises smooth and personalized interactions between people and the spaces they inhabit and visit. ...