A Systematic Review of the Probes Method in Research with Children and Families

Since their introduction, there has been wide discussion about how probes are used in human computer interaction (HCI) research. This variation can be problematic for researchers and designers who plan on using probes in the child computer interaction space, as it can be difficult to know which approach is best suited to address their design situation. In this review, we surveyed the ways that HCI researchers have used probes in studies with children and families. Based on 25 articles, we analysed the methodological decisions that researchers have taken in their empirical studies, relating to: a.) the goals for using the probes, b.) the probe itself, c.) participant involvement, and d.) the data and data use. Based on our methodological findings, we highlight four key tensions—including probes as sources of information versus creative input--and consider questions that can guide decision making for developing probes studies with children and families

A web-based collaborative translation management system for public health workers

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Living in a glass house: a survey of private moments in the home

ABSTRACT As advances in technology accelerate, sensors and recording devices are increasingly being integrated into homes. Although the added benefit of sensing is often clear (e.g., entertainment, security, encouraging sustainable behaviors, etc.), the home is a private and intimate place, with multiple stakeholders who may have competing priorities and tolerances for what is acceptable and useful. In an effort to develop systems that account for the needs and concerns of householders, we conducted an anonymous survey (N = 475) focusing on the activities and habits that people do at home that they would not want to be recorded. In this paper, we discuss those activities and where in the home they are performed, and offer suggestions for the design of UbiComp systems that rely on sensing and recording

TalkingBoogie: Collaborative Mobile AAC System for Non-verbal Children with Developmental Disabilities and Their Caregivers

Augmentative and alternative communication (AAC) technologies are widely used to help non-verbal children enable communication. For AAC-aided communication to be successful, caregivers should support children with consistent intervention strategies in various settings. As such, caregivers need to continuously observe and discuss children's AAC usage to create a shared understanding of these strategies. However, caregivers often find it challenging to effectively collaborate with one another due to a lack of family involvement and the unstructured process of collaboration. To address these issues, we present TalkingBoogie, which consists of two mobile apps: TalkingBoogie-AAC for caregiver-child communication, and TalkingBoogie-coach supporting caregiver collaboration. Working together, these applications provide contextualized layouts for symbol arrangement, scaffold the process of sharing and discussing observations, and induce caregivers' balanced participation. A two-week deployment study with four groups (N=11) found that TalkingBoogie helped increase mutual understanding of strategies and encourage balanced participation between caregivers with reduced cognitive loads.SNU Undergraduate Research Program through the Faculty of Liberal Education, Seoul National University (2019-23) National Research Foundation of Korea Grant funded by the Korean Government (NRF-2019S1A5A2A01045980

An original phylogenetic approach identified mitochondrial haplogroup T1a1 as inversely associated with breast cancer risk in BRCA2 mutation carriers

Introduction: Individuals carrying pathogenic mutations in the BRCA1 and BRCA2 genes have a high lifetime risk of breast cancer. BRCA1 and BRCA2 are involved in DNA double-strand break repair, DNA alterations that can be caused by exposure to reactive oxygen species, a main source of which are mitochondria. Mitochondrial genome variations affect electron transport chain efficiency and reactive oxygen species production. Individuals with different mitochondrial haplogroups differ in their metabolism and sensitivity to oxidative stress. Variability in mitochondrial genetic background can alter reactive oxygen species production, leading to cancer risk. In the present study, we tested the hypothesis that mitochondrial haplogroups modify breast cancer risk in BRCA1/2 mutation carriers. Methods: We genotyped 22,214 (11,421 affected, 10,793 unaffected) mutation carriers belonging to the Consortium of Investigators of Modifiers of BRCA1/2 for 129 mitochondrial polymorphisms using the iCOGS array. Haplogroup inference and association detection were performed using a phylogenetic approach. ALTree was applied to explore the reference mitochondrial evolutionary tree and detect subclades enriched in affected or unaffected individuals. Results: We discovered that subclade T1a1 was depleted in affected BRCA2 mutation carriers compared with the rest of clade T (hazard ratio (HR) = 0.55; 95% confidence interval (CI), 0.34 to 0.88; P = 0.01). Compared with the most frequent haplogroup in the general population (that is, H and T clades), the T1a1 haplogroup has a HR of 0.62 (95% CI, 0.40 to 0.95; P = 0.03). We also identified three potential susceptibility loci, including G13708A/rs28359178, which has demonstrated an inverse association with familial breast cancer risk. Conclusions: This study illustrates how original approaches such as the phylogeny-based method we used can empower classical molecular epidemiological studies aimed at identifying association or risk modification effects.Peer reviewe

Decision support for caregivers through embedded capture and access

The care of individuals with concerns about development, health, and wellness is often a difficult, complicated task and may rely on a team of diverse caregivers. There are many decisions that caregivers must make to help ensure that the best care and health monitoring are administered. For my dissertation work, I have explored the use of embedded capture and access to support decision-making for caregivers. Embedded capture and access integrates simple and unobtrusive capture and useful access, including trending information and rich data, into existing work practices. I hypothesized that this technology encourages more frequent access to evidence, increased collaboration amongst caregivers, and decisions made with higher confidence. I have explored this technology through real world deployments of new embedded capture and access applications in two domains. For the first domain, I have developed two applications to support decision-making for caregivers administering therapy to children with autism. The first application, Abaris, supports therapists working with a single child in a home setting, and the second application, Abaris for Schools, extends the ideas of Abaris for use in a school setting for many teachers working with multiple children. The second domain I have explored is decision-making for parents of newborn children. In particular, I developed and evaluated embedded capture and access technology to support parents, pediatricians, and secondary childcare providers in making decisions about whether a child s development is progressing normally in order to promote the earlier detection of developmental delays.Ph.D.Committee Chair: Abowd, Gregory; Committee Member: Ackerman, Mark; Committee Member: Grinter, Rebecca; Committee Member: Mynatt, Elizabeth; Committee Member: Rodden, Thoma

Supporting Data-Based Decision-Making for Caregivers through Embedded Capture and Access

Abstract. The care of individuals with concerns about development, health, and wellness is often a difficult, complicated task and may rely on a team of diverse caregivers. There are many decisions that caregivers must make to ensure the best care and health monitoring are administered. For my dissertation work, I am exploring the use of embedded capture and access to support decisionmaking for caregivers. Embedded capture and access integrates simple and effective capture and useful access, including trending information and rich data, into existing work practices. I hypothesize that this type of technology encourages more frequent access of evidence, increases collaboration amongst caregivers, and increases confidence with which care decisions are made. I am exploring this work through real world deployments of new embedded capture and access applications in the domains of caring for individuals with autism and tracking the development of newborn children.

Designing Technology to Aid in the Early Detection of Developmental Delay in Young Children

Abstract. The early detection of developmental delays, such as autism, in young children can be crucial in providing better interventions and education for affected children. Currently, these delays are detected by concerns from parents brought up to pediatricians or specialists well after the first signs occur. We present the design of a system aimed to help parents and caregivers of newborn children track and document their child’s progress in achieving approximately 250 developmental milestones. This system incorporates the use of toy-embedded sensors, video buffering techniques, and a digital repository for storing videos.