Operational skill learning, inherently physical and reliant on hands-on practice and kinesthetic feedback, has yet to be effectively replicated in large language model (LLM)-supported training. Current LLM training assistants primarily generate customized textual feedback, neglecting the crucial kinesthetic modality. This gap derives from the textual and uncertain nature of LLMs, compounded by concerns on user acceptance of LLM driven body control. To bridge this gap and realize the potential of collaborative human-LLM action, this work explores human experience of LLM driven kinesthetic assistance. Specifically, we introduced an "Align-Analyze-Adjust" strategy and developed FlightAxis, a tool that integrates LLM with Electrical Muscle Stimulation (EMS) for flight skill acquisition, a representative operational skill domain. FlightAxis learns flight skills from manuals and guides forearm movements during simulated flight tasks. Our results demonstrate high user acceptance of LLM-mediated body control and significantly reduced task completion times. Crucially, trainees reported that this kinesthetic assistance enhanced their awareness of operation flaws and fostered increased engagement in the training process, rather than relieving perceived load. This work demonstrated the potential of kinesthetic LLM training in operational skill acquisition.

Memory plays a crucial role in caregiving, helping caregivers to address the emotional needs of older adult care recipients. However, this is the burden, especially when caregivers need to serve multiple care recipients. This study presents CareEmo, an assistant that delivers memory and emotional support to caregivers via Bluetooth earbuds, enabling personalized communication and enhancing care recipients’ emotional well-being. Through a formative study that included field observations and interviews with caregivers, family members and care recipients, we designed modules: emotion recognition, user profile creation, and care advice provision. CareEmo identifies emotional changes in care recipients, summarizes their emotional needs and interests, then provides caregivers with appropriate advice based on recipients’ memories and caregiving histories. An empirical study involving 16 participants (8 caregivers and 8 care recipients), showed that CareEmo improved both caregiver and care recipient emotional experience and contributed a high quality of emotional caregiving.