April 16, 2024, 4:48 a.m. | Zhihao Cao, Zidong Wang, Siwen Xie, Anji Liu, Lifeng Fan

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.09001v1 Announce Type: cross
Abstract: Despite the significant demand for assistive technology among vulnerable groups (e.g., the elderly, children, and the disabled) in daily tasks, research into advanced AI-driven assistive solutions that genuinely accommodate their diverse needs remains sparse. Traditional human-machine interaction tasks often require machines to simply help without nuanced consideration of human abilities and feelings, such as their opportunity for practice and learning, sense of self-improvement, and self-esteem. Addressing this gap, we define a pivotal and novel challenge …

abstract advanced advanced ai arxiv assistive technology children cs.ai cs.cv cs.ro daily demand diverse elderly human human-machine interaction machine machines modeling research robot smart solutions tasks technology type vulnerable

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