Article
Computer Science, Theory & Methods
Gopika Ajaykumar, Maureen Steele, Chien-Ming Huang
Summary: End-user robot programming empowers non-experienced users to customize robots to meet their individual needs; it covers primary domains, programming phases, and design choices, and highlights open directions for further investigation.
ACM COMPUTING SURVEYS
(2021)
Article
Automation & Control Systems
Marcos Maroto-Gomez, Sara Marques-Villaroya, Jose Carlos Castillo, Alvaro Castro-Gonzalez, Maria Malfaz
Summary: This paper introduces an Active Learning approach based on computer vision and human-robot interaction to personalize robot behavior. By using online learning and obtaining user information, the system fills out user profiles and adapts the robot's behavior through interaction. The results demonstrate that it is more entertaining and easier for users to interact with the robot to create profiles compared to filling out a survey, and the usability score for the cheerful robot is higher.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Psychology, Multidisciplinary
Caroline L. van Straten, Jochen Peter, Rinaldo Kuhne, Alex Barco
Summary: The study found that robot's question-asking can increase children's trust in the robot, while self-disclosure can decrease children's belief in the robot's ability to adopt their affective perspective. Additionally, children's consideration of the robot as a social actor and a potential friend did not differ significantly across conditions.
COMPUTERS IN HUMAN BEHAVIOR
(2022)
Article
Behavioral Sciences
Allison Langer, Peter J. Marshall, Shelly Levy-Tzedek
Summary: Social robots have the potential to enhance education, rehabilitative care, and leisure activities for children, but the long-term effects of child-robot interaction on socio-emotional development remain unclear. This review summarizes predictions and expectations of stakeholders and empirical research on the impact of child-robot interaction on children's social behavior and emotional expression. Research design recommendations are provided to further understand the effects of child-robot interaction.
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
(2023)
Article
Education & Educational Research
Yanghee Kim, Jaejin Hwang, Seongmi Lim, Moon-Heum Cho, Sungchul Lee
Summary: This research investigates the impact of a social robot on the development of friendship among young children during playful learning. Through four sessions of triadic interaction activities, involving two children and a robot, the study examines the influence of robot-mediated collaborative interactions on friendship development. Both Conversational and Tablet assisted robot mediation were found to contribute to the development of friendship among the children, as observed through behavioral categories of liking, togetherness, parity, agreement, and co-construction.
INTERACTIVE LEARNING ENVIRONMENTS
(2023)
Article
Ethics
Bradley Kawano
Summary: Researchers in the MASALA study did not clearly or precisely define South Asians as either an ancestral group or ethnic group. Their studies prioritized investigating genetic and molecular causes of the cardiovascular health disparity between South Asians and other populations, while failing to examine possible social factors.
JOURNAL OF MEDICAL ETHICS
(2022)
Article
Computer Science, Cybernetics
Gopika Ajaykumar, Kaitlynn Taylor Pineda, Chien-Ming Huang
Summary: This research explores the possibility of engaging older adults in programming physical robot assistance and finds that familiarity with other forms of automation and interactions, changes in abilities due to aging, multi-user and collaborative programming, cognitive exercise, and mental model formation play important roles in shaping older adults' expectations, experiences, and preferences in programming physical robot assistance. Based on these findings, guidelines are recommended for designing future robot programming interactions for older adults.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
(2023)
Article
Ecology
Jordyn T. Wallenborn, Robert B. Gunier, Derek J. Pappas, Jonathan Chevrier, Brenda Eskenazi
Summary: This study explores the microbial diversity of breastmilk, stool, and meconium samples from a South African birth cohort, finding distinct bacterial compositions between breastmilk and stool samples. Bifidobacterium, Blautia, and Haemophilus were found to be correlated between breastmilk and stool samples. Despite the importance of breastmilk in seeding the infant gut microbiome, differences in bacterial communities were observed in this study.
Article
Computer Science, Artificial Intelligence
Maria Jose Pinto-Bernal, Nathalia Cespedes, Paola Castro, Marcela Munera, Carlos A. Cifuentes
Summary: There has been an increasing interest in using social robots as a support tool, particularly in the field of Autism treatments. This study focuses on developing and assessing a social robotic platform that promotes physical interaction. The results show that physical interaction does not significantly impact the patients' performance in activities, but it increases encouragement and motivation. Moreover, a substantial percentage of control group children express the intention to physically interact with the robot, indicating its importance as a means of communication.
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
(2022)
Article
Business
Kathrin Pollmann, Wulf Loh, Nora Fronemann, Daniel Ziegler
Summary: Personalized human-robot interaction can enhance the acceptance of robots by positively influencing the user experience and attitude towards the robot. However, there are ethical risks concerning user autonomy and manipulation. This paper combines user-centered design and ethical perspectives to assess ethically permissible and enjoyable interaction behaviors in the context of a personalized quizmaster robot. By balancing the perspectives of user experience and ethical design, transferable recommendations for personalized HRI are proposed using the cascading models of design approach.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2023)
Article
Nutrition & Dietetics
Jillian Hill, Mieke Faber, Cindy George, Nasheeta Peer, Tshavhuyo Mulabisano, Sonja Mostert, Eugene Sobngwi, Andre P. Kengne
Summary: Emerging evidence suggests that adding text messages to diabetes prevention programs may improve outcomes. This paper describes the process of developing behavior change text messages for people at risk of developing diabetes in low-resourced communities in South Africa. The development involved multiple steps, including message development, evaluation, and refinement. The final text bank includes 67 messages covering topics related to healthy eating, physical activity, and general check-ins.
Article
Psychology, Developmental
Maria Pia Roggero, Laura Bonalume, Anna Lisa Mazzoleni, Valentina Piroli, Atta Negri, Laura Cordolcini, Eleonora Mascheroni, Rosario Montirosso
Summary: Little is known about the similarities and differences in maternal and paternal parenting behavior. This study investigated the parenting behavior of 56 mothers and 56 fathers during parent-infant interactions. The results suggested that both mothers and fathers displayed similar sensitivity, intrusiveness, and remoteness in their parenting. The findings also indicated that infants behaved similarly when interacting with either their mothers or fathers.
INFANT BEHAVIOR & DEVELOPMENT
(2023)
Article
Ethics
Bridget Pratt, Jantina de Vries
Summary: The silencing of epistemologies, theories, principles, values, concepts, and experiences from the global South is a severe injustice in bioethics. Rectifying this injustice should be a top priority in the field, as it currently undermines its credibility. This paper presents a comprehensive account of epistemic justice for global health ethics, exploring different conceptions of justice and decolonization and applying them to the production and use of ethics knowledge.
JOURNAL OF MEDICAL ETHICS
(2023)
Review
Chemistry, Analytical
Carina Soledad Gonzalez-Gonzalez, Rosa Maria Gil-Iranzo, Patricia Paderewski-Rodriguez
Summary: This paper presents a systematic literature review on sexual robots, revealing a male bias in the discipline and the increasing relevance of user opinions in recent years. Insights and recommendations for addressing gender and ethics in designing sexual robots were provided.
Article
Psychology, Multidisciplinary
Tien-Li Chen, Wei-Chun Lai, Tai-Kuei Yu
Summary: As the Internet spreads worldwide, human activity is increasingly influenced by digital media, especially in the realm of museum exhibitions. Contemporary museums must understand online preferences and engagement experiences in order to attract young audiences and maintain community relationships. Virtual museums are utilizing digital exhibitions and online platforms to interact with young people, enhancing emotional resonance and involvement among audiences.
FRONTIERS IN PSYCHOLOGY
(2021)