Human collaboration is more likely to lead to cognitive growth when all group-members are actively involved in the collaborative process. However, there are cases that intragroup relationships need support. In this paper, we present an autonomous robotic system designed to interact with a pair of children in a problem-solving setting, aiming to understand how the robot behaviour impacts the group-members' social dynamics. We developed an autonomous system with the Haru robot which we evaluated with an experimental study with 5-8yo children (N = 84) to test the impact of the robot's cognitive reliability and social positioning on human-to-human social dynamics, task performance and help-seeking behaviour. All participants took part in a baseline session (without the robot), an intervention (with the robot in a turn-taking setting) and an evaluation session (with a robot in a voluntary interaction setting). Results indicate that children who interacted with the reliable robot had a better task performance but children who interacted with the unreliable robot exhibited more taskrelated social interactions. Based on the results, we propose an interaction design concept which combines the set of the evaluated robot behaviours for an adaptive targeted support of child-robot teaming.
Most research assumes that the determinants of members’ feelings of connection to groups are constant across types of groups. The current paper challenges this assumption by assessing members' feelings of affinity toward a large, diverse sample of online groups. 10,567 members of 6,458 Facebook groups reported on their feelings of connection to these groups. Objectively measured group characteristics and features of members' relationship to the groups explained over 16% of the variance in members’ affinity. Being an administrator and being in groups with fewer members, more even communication, and more close friends were the strongest predictors. Half of the independent variables significantly interacted with group type in predicting affinity (e.g., large group size was negatively associated with affinity in task groups and positively associated with affinity in topical groups).
The dramatic rise of digital medical imaging has allowed medical personnel to see inside their patients as never before. Many software products are now available to view this data in various 2D and 3D formats. This also raises many basic research questions on spatial perception for humans viewing these images. The work presented here attempts to answer the question: How would adding the stereopsis depth cue affect relative position tasks in a medical context? By designing and conducting a study to isolate the benefits between monoscopic 3D and stereoscopic 3D displays in a relative position task, the following hypothesis was tested: stereoscopic 3D displays are beneficial over monoscopic 3D displays for relative position judgment tasks in a medical visualization setting. The results show that stereoscopic condition yielded a higher score than the monoscopic condition, but the results were not always statistically significant.
the difficult cases. While the results of the grayscale and color pre-processing methods on easy cases were similar, the results of color pre-processing were much better on difficult cases, thus supporting the claim that adding color to medical images for segmentation can significantly improve accuracy of tumor segmentation.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.