Child users of Social VR (SVR) face challenges dealing with group harassment. While mitigation tools exist, it is unclear a) how suitable they are for children experiencing group harassment, b) the extent to which children want control over interventions. We conducted two user studies involving 74 children (N1=40, N2=34) in which we compared strategies for dealing with group harassment. First, we compared three ways of manually blocking harassers (SelectBlock, MassBlock, PointBlock) and two intervention positions (ground level vs elevated). Second, we contrasted manual blocking with different levels of automation provided by an Automated Moderator (AM). We investigated how the initiation and decision of blocking, whether by the child or by an AM, impact children’s perceptions. Results show children value engaging interventions, PointBlock, and elevation. They seek control but appreciate assistance when involved in AM decision-making. We provide design considerations for creating safe, empowering experiences for children facing SVR group harassment.

This is a corrigendum for the paper ''Exploring the Perspectives of Social VR-Aware Non-Parent Adults and Parents on Children's Use of Social Virtual Reality'', Proceedings of the ACM on Human-Computer Interaction, Volume 8, Issue CSCW1, Article No. 54. We report 1) the error, 2) the changes made, and 3) the result based on those changes. These corrections do not alter the overall conclusions of the study but ensure that the reported findings are more accurate and reflective of the data.

Harassment in Social Virtual Reality (SVR) is a growing concern. The current SVR landscape features inconsistent access to non-standardised safety features, with minimal empirical evidence on their real-world effectiveness, usage and impact. We examine the use and effectiveness of safety tools across 12 popular SVR platforms by surveying 100 users about their experiences of different types of harassment and their use of features like muting, blocking, personal spaces and safety gestures. While harassment remained common-including hate speech, virtual stalking, and physical harassment-many find safety features insufficient or inconsistently applied. Reactive tools like muting and blocking are widely used, largely driven by users' familiarity from other platforms. Safety tools are also used to proactively curate individual virtual experiences, protecting users from harassment, but inadvertently leading to fragmented social spaces. We advocate for standardising proactive, rather than reactive, anti-harassment tools across platforms, and present insights into future safety feature development.

Automated embodied moderation has the potential to create safer spaces for children in social VR, providing a protective figure that takes action to mitigate harmful interactions. However, little is known about how such moderation should be employed in practice. Through interviews with 16 experts in online child safety and psychology, and workshops with 8 guardians and 13 children, we contribute a comprehensive overview of how Automated Embodied Moderators (AEMs) can safeguard children in social VR. We explore perceived concerns, benefits and preferences across the stakeholder groups and gather first-of-their-kind recommendations and reflections around AEM design. The results stress the need to adapt AEMs to children, whether victims or harassers, based on age and development, emphasising empowerment, psychological impact and humans/guardians-in-the-loop. Our work provokes new participatory design-led directions to consider in the development of AEMs for children in social VR taking child, guardian, and expert insights into account.

Social Virtual Reality (VR), where people meet in virtual spaces via 3D avatars, is used by children and adults alike. Children experience new forms of harassment in social VR where it is often inaccessible to parental oversight. To date, there is limited understanding of how parents and non-parent adults within the child social VR ecosystem perceive the appropriateness of social VR for different age groups and the measures in place to safeguard children. We present results of a mixed-methods questionnaire (N=149 adults, including 79 parents) focusing on encounters with children in social VR and perspectives towards children's use of social VR. We draw novel insights on the frequency of social VR use by children under 13 and current use of, and future aspirations for, child protection interventions. Compared to non-parent adults, parents familiar with social VR propose lower minimum ages and are more likely to allow social VR without supervision. Adult users experience immaturity from children in social VR, while children face abuse, encounter age-inappropriate behaviours and self-disclose to adults. We present directions to enhance the safety of social VR through pre-planned controls, real-time oversight, post-event insight and the need for evidence-based guidelines to support parents and platforms around age-appropriate interventions.

Children experience new forms of harassment in Social Virtual Reality (VR), often inaccessible to parental oversight. We aimed to understand how an artificial intelligent moderator safeguarding children from harassment in social VR is perceived by children and parents, by introducing “Big Buddy”, a Wizard-of-Oz embodied AI-moderator. 43 children (aged 8-16) played a tower-block-construction game in a simulated Social VR classroom where fictitious competitors disrupted their game and, in experimental conditions where present, Big Buddy intervened. We measured children’s perceptions after the disruptions, towards Big Buddy, and the moderation actions it took. Children felt significantly less sad and safer when Big Buddy suspended the saboteur. Parents (n=17) noted Big Buddy’s usefulness and felt reassured but would remain in the supervision loop. We present the first empirical research of a VR-embodied AI-moderator with children’s and parents’ perspectives, and propose design directions for embodied AI-moderators in Social VR.

We look at the possibilities of automatically detecting social discomfort and social anxiety via non-verbal behaviours in social Virtual Reality (VR). This is important because a well-developed automatic recognition system could facilitate interventions and moderation in social VR without requiring real-time parental supervision. To initially explore this question of recognition, we prototyped a small set of 3D stimuli representing a bullying scenario and explored in a small formative preliminary study what human observers perceived from the stimuli. Future work is required with different problematic situations in social VR and evaluations with more participants before developing an automatic recognition system.

Incorrectly sized balloon catheters can lead to increased post-surgical complications, yet even with preoperative imaging, correct selection remains a challenge. With limited feedback during surgery, it is difficult to verify correct deployment. We propose the use of integrated impedance measurements and Electrical Impedance Tomography (EIT) imaging to assess the deformation of the balloon and determine the size and shape of the surrounding lumen. Previous work using single impedance measurements, or pressure data and analytical models, whilst demonstrating high sizing accuracy, have assumed a circular cross section. Here we extend these methods by adding a multitude of electrodes to detect elliptical and occluded lumen and obtain EIT images to localise deformations. Using a 14 Fr (5.3 mm) catheter as an example, numerical simulations were performed to find the optimal electrode configuration of two rings of 8 electrodes spaced 10 mm apart. The simulations predicted that the maximum detectable aspect ratio decreased from 0.9 for a 14mm balloon to 0.5 at 30mm. The sizing and ellipticity detection results were verified experimentally. A prototype robotic balloon catheter was constructed to automatically inflate a compliant balloon while simultaneously recording EIT and pressure data. Data were collected in experiments replicating stenotic vessels with an elliptical and asymmetrical profile, and the widening of a lumen during angioplasty. After calibration, the system was able to correctly localise the occlusion and detect aspect ratios of 0.75. EIT images further localised the occlusion and visualised the dilation of the lumen during balloon inflation.