generative ai

Human-Centered Metrics for Evaluating Usability in Artificial Intelligence Generated Human Object Interactions

Usability is key to assessing whether interactions reflect real-world engagement with designed artifacts. However, evaluating usability requires design and prototyping, which incur substantial time and financial costs. With recent advances in multimodal generative AI (GenAI), it has become possible to predict, to some...

Ethical Guidelines and Stakeholder Perspectives on the Use of Conversational AI in Psychotherapy - A Scoping Review

The global burden of mental health disorders has created considerable demand for mental health professionals and long waiting periods for affected individuals. Due to advancements in generative Artificial Intelligence (AI) in recent years, it is now considered capable of simulating meaningful social interaction. Hence,...

HeMAI 2026: Multimodal Interaction with Generative AI Health Applications

This workshop brings together researchers and practitioners from multimodal interaction, natural language processing, generative artificial intelligence, affective computing, human-computer interaction, and clinical practice to examine how generative and multimodal systems can support interactive, collaborative decisio...

Framing the Formless: A Xing–Qi–Shen Framework for Culturally Aware Multimodal Human–AI Co-Creation

Findings provide initial evidence that culturally structured representations can improve the perceived quality of generated outputs, and are reframed as a human-computer interaction (HCI) problem of "cultural operability".

CreaRobot - Improving creativity using a social robot

Supporting children’s creativity in educational settings remains a key challenge, which generative AI-powered social robots may help address. This paper presents CreaRobot, a study in which children performed a standardized drawing task while interacting with a social robot driven by a vision-language model. We compare...

AI-Generated Content Detection: A Cross-Modal Survey of Methods, Challenges, and Future Directions

Peptide-protein interactions in drug discovery

Peptide-protein interactions are emerging as a major focus in drug discovery because they underpin many biological processes and provide a powerful means to modulate protein-protein interactions (PPIs), including targets long considered "undruggable." Peptide therapeutics occupy a unique middle ground between small mol...

THE ROLE OF AI-POWERED FEEDBACK IN DEVELOPING EFL LEARNERS' SPEAKING ACCURACY

Artificial intelligence (AI) has rapidly expanded the possibilities for providing immediate, individualized, and repeatable feedback to learners of English as a foreign language (EFL). This paper examines how AI-powered feedback can contribute to speaking accuracy, understood as the appropriate and intelligible use of...

Educator Trust Calibration as Sociotechnical Practice: A Field Study of Generative AI Use in Indian Higher Education

Generative AI (GenAI) systems are increasingly used in higher education, yet educator trust in these systems is often treated as an individual attitude rather than as a situated sociotechnical practice. Drawing on a 14-week field study with 42 faculty members at a mid-tier Indian technical university, this paper examin...

Podolský GZ Theory (version 10): The GZ framework – a generative source with higher-dimensional inflow as a common mechanism from particles to the Universe

We propose a speculative but explicitly testable framework in which a single pair of source functions acts across scales: G, an inflow of mass and energy from higher dimensions, and Z, the associated inflow of momentum and angular momentum. In the homogeneous limit G(τ) replaces the cosmological constant in the Einstei...

Domain-Specific Cyberchondria and AI-Assisted Health Information Seeking among Pre-Clinical Medical Students in South India: A Two-Wave Longitudinal Study

Background: Generative AI is widely used for health information seeking, but its longitudinal relationship with specific cyberchondria domains has not been examined. The objective was to examine domain-specific associations between AI-assisted health information seeking and cyberchondria among medical students, and to...

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR BUSINESS

artificial intelligence (AI) and machine learning (ML) have become general-purpose technologies that are reshaping how organisations make decisions, serve customers, design products and run operations. This chapter provides a management-oriented treatment of the principal AI and ML techniques and of the organisational...