Janelle Mackenzie

Objectives: The Australian Children of the Digital Age (ACODA) study is a longitudinal cohort study investigating the digital lives of Australians during early childhood. This paper presents a comprehensive description of the study protocol and overview of children’s digital technology use in the home at the first wave of data collection. Methods: Caregivers of children aged 6-months to 5-years completed a survey that captured the availability and use of digital technology within the home, and child- and caregiver-related factors that may influence children’s digital technology use. Results: A total of 3,388 caregivers from across all Australian states and territories completed the survey. Majority (98%) of children had digital technology and internet access within their homes. Most children (93%) used at least one device in the last year, with televisions, tablets, and mobile phones most frequently used (89%, 47%, 42%, respectively). Digital technology use started early, with 61% of children aged M = 1:20, SD = 1:14), tablets ( M = 1:06, SD = 1:36), and mobile phones ( M = 0:30, SD = 1:05). Digital technology was used most for entertainment and learning activities, and was used typically with a caregiver and in lounge/living rooms. Conclusions: The ACODA study is the first longitudinal study to describe the digital technology use of Australians during early childhood and the context of this use. Data indicated that Australian children frequently used digital technology for entertainment and with their caregivers. Also, older children used digital technology more than younger children. Future waves allow for exploration of changes in children’s digital technology use over time, and associations with factors that may influence children’s digital technology use.

This report synthesises discussions from the Digital Childhoods Summit, held in Canberra on 27-28 May 2026. Both the Summit and this report are initiatives of the ARC Centre of Excellence for the Digital Child (Digital Child), aimed at producing agreed actions for supporting children in the digital world. The report provides a potential framework, the Digital Impact Framework, to operationalise these actions for researcher, government, industry, and community organisations.

Given the ubiquity of videogame play by children, concerns about the impacts of videogames, and increasing evidence of the benefits associated with digital play, it is important to evaluate the player experience (pX) of children. Moreover, it is essential to include children's voices in research about technologies designed for their use. However, eliciting rich, first-hand data on their experiences and perspectives is challenging because it requires children to articulate opinions in a pre-established context of general positivity towards games, alongside potential social desirability bias. In this paper, we present a methodology which uses children's psychophysiology as a prompt for reflective interviews, with two commercial off-the-shelf computer games (Rocket League and LEGO Builder's Journey). We consider the utility, reproducibility, reliability and validity of the method. In assessing the method, we discuss children's experience of wearing the sensors, the insights generated from the psychophysiological data, and the understanding that emerged when prompting children to reflect and comment on their own psychophysiological data.

Given the importance of young children’s postures and movements to health and development, robust objective measures are required to provide high-quality evidence. This study aimed to systematically review the available evidence for objective measurement of young (0–5 years) children’s posture and movement using machine learning and other algorithm methods on accelerometer data. From 1663 papers, a total of 20 papers reporting on 18 studies met the inclusion criteria. Papers were quality-assessed and data extracted and synthesised on sample, postures and movements identified, sensors used, model development, and accuracy. A common limitation of studies was a poor description of their sample data, yet over half scored adequate/good on their overall study design quality assessment. There was great diversity in all aspects examined, with evidence of increasing sophistication in approaches used over time. Model accuracy varied greatly, but for a range of postures and movements, models developed on a reasonable-sized (n > 25) sample were able to achieve an accuracy of >80%. Issues related to model development are discussed and implications for future research outlined. The current evidence suggests the rapidly developing field of machine learning has clear potential to enable the collection of high-quality evidence on the postures and movements of young children.

Digital gaming and playful environments are often viewed as entertainment computing technologies that aim to create fun, engaging, and positive experiences for children and adults alike. Yet, there is an increasing interest in research that protects players from the problematic side of gaming and playful environments, such as toxicity and harassment, dark patterns and deceptive design, problematic gaming and addiction, discrimination, incubation of extremism, and ethical considerations. However, behaviors that some consider negative or harmful may not be intended or even perceived as such by others. Therefore, this workshop aims to encourage researchers, industry practitioners, and game designers to bring in a wide variety of perspectives on how to articulate problematic play, what factors lead to the subjective nature of the problematic side of play, and approaches to combat harm across gaming and playful contexts while reinforcing potentially beneficial aspects of what can be ambiguously defined as problematic by others.

Social sustainability includes aspects of equity and is associated with two of the United Nations Sustainable Development goals focused on promoting good health and well-being for all ages. Yet, this pillar of sustainability is considered the least understood, as compared to economic and environmental components. To address this, our study focused on intergenerational engagement within residential neighborhood parks to foster social sustainability and encourage healthy and active living. This study included an intercept survey with open-ended questions of 386 adult park users within 12 parks in South-East Queensland, one of Australia’s fastest-growing areas. Approximately two-thirds (68%) of adult participants visited the park with one or more children, primarily to use the playground. Further thematic analysis shows that intergenerational interactions predominantly include adults playing with or teaching children. However, intergenerational interactions were limited in numerous situations, such as when adults accompany older children. This paper concludes with a discussion on potential ways to increase intergenerational interactions in parks to promote health and well-being for all ages, thus increasing social sustainability within residential developments.

Sleep disruption strongly influences daytime functioning; resultant sleepiness is recognised as a contributing risk-factor for individuals performing critical and dangerous tasks. While the relationship between sleep and sleepiness has been heavily investigated in the vulnerable sub-populations of shift workers and patients with sleep disorders, postpartum women have been comparatively overlooked. Thirty-three healthy, postpartum women recorded every episode of sleep and wake each day during postpartum weeks 6, 12 and 18. Although repeated measures analysis revealed there was no significant difference in the amount of nocturnal sleep and frequency of night-time wakings, there was a significant reduction in sleep disruption, due to fewer minutes of wake after sleep onset. Subjective sleepiness was measured each day using the Karolinska Sleepiness Scale; at the two earlier time points this was significantly correlated with sleep quality but not to sleep quantity. Epworth Sleepiness Scores significantly reduced over time; however, during week 18 over 50% of participants were still experiencing excessive daytime sleepiness (Epworth Sleepiness Score ≥12). Results have implications for health care providers and policy makers. Health care providers designing interventions to address sleepiness in new mothers should take into account the dynamic changes to sleep and sleepiness during this initial postpartum period. Policy makers developing regulations for parental leave entitlements should take into consideration the high prevalence of excessive daytime sleepiness experienced by new mothers, ensuring enough opportunity for daytime sleepiness to diminish to a manageable level prior to reengagement in the workforce.

The aim of the current study was to examine the associations between a number of individual factors (demographic factors (age and gender), personality factors, risk-taking propensity, attitudes toward drink driving, and perceived legitimacy of drink driving enforcement) and how they influence the self-reported likelihood of drink driving. The second aim of this study was to examine the potential of attitudes mediating the relationship between risk-taking and self-reported likelihood of drink driving. In total, 293 Queensland drivers volunteered to participate in an online survey that assessed their self-reported likelihood to drink drive in the next month, demographics, traffic-related demographics, personality factors, risk-taking propensity, attitudes toward drink driving and perceived legitimacy of drink driving enforcement. An ordered logistic regression analysis was utilised to evaluate the first aim of the study; at the first step the demographic variables were entered; at step two the personality and risk-taking were entered; at the third step, the attitudes and perceptions of legitimacy variables were entered. Being a younger driver and having a high risk-taking propensity were related to self-reported likelihood of drink driving. However, when the attitudes variable was entered, these individual factors were no longer significant; with attitudes being the most important predictor of self-reported drink driving likelihood. A significant mediation model was found with the second aim of the study, such that attitudes mediated the relationship between risk-taking and self-reported likelihood of drink driving. Considerable effort and resources are utilised by traffic authorities to reducing drink driving on the Australian road network. Notwithstanding these efforts, some participants still had some positive attitudes toward drink driving and reported that they were likely to drink drive in the future. These findings suggest that more work is needed to address attitudes regarding the dangerousness of drink driving.