The recent advancements in the field of human-robot interaction (HRI) and artificial intelligence (AI) applications are significantly enhancing the usability and acceptance of intelligent systems across various domains. A notable trend is the integration of advanced AI models, such as large language models (LLMs), into humanoid social robots and other interactive systems to improve natural language processing and cognitive interactions. This is evident in the development of robots designed for public service settings, where the focus is on enhancing comprehensibility and adaptability of information provided to users, often through the use of regional languages or simplified speech. Additionally, there is a growing interest in leveraging AI to support creative processes, such as music production, by offering constructive feedback and analysis. Another emerging area is the use of AI in healthcare, particularly for elderly care, where speech-based conversational AI systems are being explored to provide remote monitoring and support. These developments highlight the potential for AI-driven systems to not only improve efficiency but also to foster greater user engagement and acceptance in diverse applications. Notably, innovative approaches like the use of drones for accessible selfies and AI-assisted review systems are addressing specific user needs, demonstrating the versatility and impact of recent technological advancements.