Parents pursuing opportunities abroad increasingly find themselves raising children in new cultural and legal environments. This responsibility extends to complying with unfamiliar regulations and safeguarding their children's data which is often complex and a challenging task. In this study, we examine how migrant parents perceive, manage, and safeguard data related to their children. Through interviews with 17 migrant parents and guardians in the UK, we uncover nuanced and evolving perspectives on data ownership and management. Migrant parents express significant concerns about losing control over data shared locally and with extended families abroad, with fears of misuse that could harm their children or jeopardize their immigration status. We discuss their data management strategies and approaches to navigating changing concepts of data ownership and consent. Our findings underscore the need for culturally sensitive support to help migrant families safeguard their children's data and highlight directions for future research into the complexities of cross-border data sharing and its implications.

The story-stem approach is a reliable and valid method in child psychiatry for investigating children’s social understanding, such as in family/peer relationships. Research is on-going into automating the use of story-stems as the approach takes a lot of time and there are often few administrators trained to administer them. A key part of automation is detecting if a child is engaged in the story-stems; if the child is not engaged, then automated techniques will not work. The study focuses on measuring child engagement using observed facial expressions and specifically on understanding the effect of multimedia digital story-stems on their engagement levels to create a better and more engaging digital story-stem. This ensures that psychiatrists who assess story stems with videos will know whether the child involved is engaged with the story-stems and can be assessed properly. The spontaneous facial expressions of 40 children were collected while watching digital story-stems using an RGB video camera and their engagement levels can be automatically classified using observed facial expressions. Meanwhile, we look at different styles of voice (gender and expressiveness) and video format (animation vs live-action recorded) in the story-stems to see how this affected child engagement. The distribution of child engagement across different media types was compared and the results showed that children were more engaged in a story-stem narrated by a female expressive voice. While comparing the two video formats, although children were more engaged in the current version of animated videos, there were still some factors, such as doll appearance, to be investigated for the design of story-stems.

Secure Attachment relationships have been shown to minimise social and behavioural problems in children and boosts resilience to risks later on such as antisocial behaviour, heart pathologies, and suicide. Attachment assessment is an expensive and time-consuming process that is not often performed. The School Attachment Monitor (SAM) automates Attachment assessment to support expert assessors. It uses doll-play activities with the dolls augmented with sensors and the child's play recorded with cameras to provide data for assessment. Social signal processing tools are then used to analyse the data and to automatically categorize Attachment patterns. This paper presents the current SAM interactive prototype.

Engagement researchers indicate that the engagement level of people in a narrative has an influence on people's subsequent story-related attitudes and beliefs, which helps psychologists understand people's social behaviours and personal experience. With the arrival of multimedia, the digital narrative combines multimedia features (e.g. varying images, music and voiceover) with traditional storytelling. Research on digital narratives has been widely used in helping students gain problem-solving and presentation skills as well as supporting child psychologists investigating children's social understanding such as family/peer relationships through completing their digital narratives. However, there is little study on the effect of multimedia features in digital narratives on the engagement level of people.

Secure Attachment relationships have been shown to minimise social and behavioural problems in children and boosts resilience to risks such as antisocial behaviour, heart pathologies, and suicide later in life. Attachment assessment is an expensive and time-consuming process that is not often performed. The School Attachment Monitor (SAM) automates Attachment assessment to support expert assessors. It uses doll-play activities with the dolls augmented with sensors and the child's play recorded with cameras to provide data for assessment. Social signal processing tools are then used to analyse the data and to automatically categorize Attachment patterns. This paper presents the current SAM interactive prototype.