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We conducted an empirical study to co-design a social robot with children to bring about long-term behavioural changes. As a case study, we focused our efforts to create a social robot to promote handwashing in community settings while adhering to minimalistic design principles. Since cultural views influence design preferences and technology acceptance, we selected forty children from different socio-economic backgrounds across India as informants for our design study. We asked the children to design paper mock-ups using pre-cut geometrical shapes to understand their mental models of such a robot. The children also shared their feedback on the eight resulting different conceptual designs of minimalistic caricatured social robots. Our findings show that children had varied expectations of the robot's emotional intelligence, interactions, and social roles even though it was being designed for a specific context of use. The children unequivocally liked and trusted anthropomorphized caricatured designs of everyday objects for the robot's morphology. Based on these findings, we present our recommendations for the physical and interaction features of a minimalist social robot assimilating the children's inputs and social robot design principles grounded in prior research. Future studies will examine the children's interactions with a built prototype.
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http://dx.doi.org/10.1007/s12369-023-00969-3 | DOI Listing |
BMJ Open
September 2025
Department of Rehabilitation, Shengjing Hospital of China Medical University, Shenyang, Liaoning, Chinax
Objectives: This study evaluated the effects of proximal core training on biomechanical risk factors and strength parameters in individuals at high risk of anterior cruciate ligament (ACL) injury (specifically: those exhibiting pathological movement patterns, neuromuscular deficits or biomechanical risk factors) and compared direct versus indirect interventions. We hypothesised that targeted training enhances dynamic knee stabilisation and hip control during high-risk manoeuvres, with direct approaches providing superior biomechanical benefits through neuromuscular control optimisation.
Design: Systematic review and meta-analysis using the Grading of Recommendation, Assessment, Development and Evaluation (GRADE) approach.
Asian J Endosc Surg
September 2025
Department of Urology, Toyooka Hospital, Toyooka, Hyogo, Japan.
Purpose: We analyze determinants of postoperative recovery from urinary incontinence following robot-assisted laparoscopic radical prostatectomy, with a focus on membranous urethral length and inclusion of nerve sparing.
Materials And Methods: This retrospective study included patients who underwent robot-assisted laparoscopic radical prostatectomy from 2017 to 2022 performed at a single institution. Cox proportional hazards analysis was conducted for postoperative recovery from urinary incontinence, defined as use of zero or one pad/day.
Int J Biol Macromol
September 2025
Rapid Manufacturing Engineering Center, School of Mechatronical Engineering and Automation, Shanghai University, Shanghai, 200444, China; National Demonstration Center for Experimental Engineering Training Education, Shanghai University, Shanghai, 200444, China; Shanghai Key Laboratory of Intelligen
Osteochondral defects caused by trauma, obesity, tumors, and degenerative osteoarthropathies severely impair patients' quality of life. Multilayer tissue engineering scaffolds offer promising strategies for osteochondral repair by enhancing structural biomimicry. In this study, a triple-layer GelMA-alginate-based osteochondral scaffold (TCOS) was fabricated using an enhanced multi-axis, multi-process, multi-material 3D bioprinting system (MAPM-BPS).
View Article and Find Full Text PDFProg Cardiovasc Dis
September 2025
Department of Cardiology, University of Texas Health Science Center, San Antonio, TX, USA.
Background: Cardiopulmonary resuscitation (CPR) is a vital intervention for managing cardiac arrest; however, enhancing survival rates remains a significant challenge. Recent advancements highlight the importance of integrating artificial intelligence (AI) to overcome existing limitations in prediction, intervention, and post-resuscitation care.
Methods: A thorough review of contemporary literature regarding AI applications in CPR was undertaken, explicitly examining its role in the early prediction of cardiac arrest, optimization of CPR quality, and enhancement of post-arrest outcomes.
Bioinspir Biomim
September 2025
University of Shanghai for Science and Technology, shanghai, Shanghai, Shanghai, 200093, CHINA.
Collective intelligence in biological groups can be employed to inspire the control of artificial complex systems, such as swarm robotics. However, modeling for the social interactions between individuals is still a challenging task. Without loss of generality, we propose a deep attention network model that incorporates the principles of biological Hard Attention mechanisms, that means an individual only pay attention to one or two neighbors for collective motion decision in large group.
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