@article{nokey,

title = {Robot Social Skills: Influencing Children’s Performance and Robot Perception Through a Robot Math Tutor’s Scaffolding and Personalization},

author = {Simone de Droog and Mike Ligthart and Marianne Bossema and Mirjam de Haas and Matthijs Smakman and Lamia Elloumi and Koen Hindriks and Somaya Ben Allouch},

url = {http://digitallifecentre.nl/wp-content/uploads/2026/05/Publicatie-IJSR2026_DeDroog_Robot-Social-Skills.pdf},

doi = {https://doi.org/10.1007/s12369-025-01338-y},

year  = {2026},

date = {2026-01-27},

urldate = {2026-01-27},

journal = {International Journal of Social Robotics},

volume = {18},

number = {10},

pages = {1-17},

abstract = {Robot tutors can add value in education, but their impact usually differs depending on their social interaction skills. This study disentangled the effect of two specific robot social interaction skills on children’s math performance and their social perception of the robot. The first is to scaffold the explanations to children’s evolving math, and the second to personalize the math conversations to children’s preferences and interests. In a 2 (scaffolding: without vs. with) x 2 (personalization: without vs. with) between-subjects design, 113 children (9–12 years) were randomly assigned to one of the four conditions. Findings after 4 child-robot interactions showed that scaffolding improved children’s response time but not the correctness of their answers, while personalization increased relationship formation. Examination of the underlying explaining mechanisms revealed that both social skills must be salient enough to have the indented effect, that personalization satisfies children’s need to be understood, and that social presence influences feelings of friendship.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Dare to Care Long-Term: Social Robots in Elderly Care},

author = {Somaya Ben Allouch and Lamia Elloumi},

doi = {10.3233/SHTI251471},

year  = {2023},

date = {2023-10-03},

urldate = {2023-10-03},

journal = {National Library of Medicine},

number = {330},

pages = {986-1007},

abstract = {Deployment of social robots in real-world contexts is increasingly finding its way into the social robotics field. This study explores the deployment of social robots in elderly care, focusing on the long-term use, while involving the healthcare professionals and elderly residents of care facility in different phases of the research. We investigated their needs and requirements, development of tailored applications, and evaluate the acceptance and sustainability of social robots in care facilities. Using the CFIR framework, we noted strong organizational support but the results showed the need for ongoing training of the care professionals and realistic expectation setting regarding the use of the social robot. The findings suggest that social robots have high acceptance, but conflicting interests can arise between the healthcare professionals and the residents of the care facility. Long-term studies are crucial for understanding the impact and to address the practical and technical challenges that emerged from different CFIR domains. Future research should address the long-term effects and the different domains of the CFIR framework to get an in-depth overview of the use of social robots in institutional care settings.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}