An assistive technology design framework for ADHD

In this paper, we present a design framework for ADHD assistive technologies that aims to give researchers grounding in the background research on the condition, to provide a lingua franca, and to highlight potential research directions for HCI researchers within assistive technology. The design framework couples ADHD patient challenge areas to technological opportunities and it provides a set of practical design strategies for developing successful assistive technologies for people with ADHD. The framework is based on empirical studies, ADHD research, and related work on assistive technologies. We map existing assistive technologies and potential new research efforts to the framework concepts. This way we show how it is used to support and advance the research and development of novel assistive technologies for the ADHD domain

Changing Family Practices with Assistive Technology: MOBERO Improves Morning and Bedtime Routines for Children with ADHD

Families of children with Attention Deficit Hyperactivity Disorder (ADHD) often report morning and bedtime routines to be stressful and frustrating. Through a design process involving domain professionals and families we designed MOBERO, a smartphone-based system that assists families in establishing healthy morning and bedtime routines with the aim to assist the child in becoming independent and lowering the parents’ frustration levels. In a two-week intervention with 13 children with ADHD and their families, MOBERO significantly improved children’s independence and reduced parents’ frustration levels. Additionally, use of MOBERO was associated with a 16.5% reduction in core ADHD symptoms and an 8.3% improvement in the child’s sleep habits, both measured by standardized questionnaires. Our study highlights the potential of assistive technologies to change the everyday practices of families of children with ADHD

INFLUENCE OF PERSUASIVE REMINDERS AND VIRTUAL REHEARSAL ON INFORMATION SYSTEMS FOR SLEEP DEPRIVATION

Appropriate amount and good quality of sleep are essential for mental and general well-being. Sleep deprivation and other chronic sleep disorders could lead to negative consequences for health, poor quality of life and reduced competence. An individual’s quality of life could be unsettled because of several reasons, sleep deprivation is one of them. Information systems (IS) and human-computer interaction (HCI) researchers have paid considerable attention to promote healthy behaviors however sleep deprivation as a problem domain has received relatively little attention. In this paper, we present qualitative findings from a field study that examined potential influence of persuasive reminders and virtual rehearsal on the effectiveness of a Behavior Change Support System (BCSS). Tyyne is a BCSS developed for people suffering from sleep deprivation. The content of virtual rehearsal modules were drawn from Acceptance and Commitment Therapy. Participants were recruited through newspaper advertisements. After screening at the university clinic, eligible participants (n = 86) were randomized into an Intervention group and a Control (wait-list) group. For data collection, we employed pre and post study structured questionnaires. Upon completion of the study, 41 participants volunteered to complete post study questionnaires. The findings reveal that a moderate number of participants (60.5%) improved their sleeping habits, a significantly high number of participants (79.1%) approved the BCSS, a staggering high number (93.0%) of the participants agreed that learning new skills through web-based BCSS is a good idea, and a substantial number of participants (72.1%) believed that persuasive reminders help people in task completion and compliance. Even though only about one third of participants (37.2%) reported that after using the BCSS they could better manage their sleep disorders, we suggest that the findings are encouraging. Given that treating sleep deprivation requires much longer periods of time than the intervention’s duration (in our case it was 6 weeks), improvement with one third of the participants is nevertheless a promising result. On the whole, persuasive reminders and virtual rehearsal as software features have a significant potential to enhance overall effectiveness of information systems for chronic sleep disorders

SleepCompete: A Smart Bedside Device to Promote Healthy Sleeping Habits in Children

We outline SleepCompete: a bedside device that encourages and promotes healthy sleeping behaviour in families, with a particular focus on children, in a fun and useful way. SleepCompete encourages children and their parents to monitor sleeping habits by introducing a ‘sleep score’. By sharing this score with others we propose that SleepCompete persuades its users to improve sleeping habits. We outline the concept of our device and the preliminary study we conducted

Fall Prediction and Prevention Systems: Recent Trends, Challenges, and Future Research Directions.

Fall prediction is a multifaceted problem that involves complex interactions between physiological, behavioral, and environmental factors. Existing fall detection and prediction systems mainly focus on physiological factors such as gait, vision, and cognition, and do not address the multifactorial nature of falls. In addition, these systems lack efficient user interfaces and feedback for preventing future falls. Recent advances in internet of things (IoT) and mobile technologies offer ample opportunities for integrating contextual information about patient behavior and environment along with physiological health data for predicting falls. This article reviews the state-of-the-art in fall detection and prediction systems. It also describes the challenges, limitations, and future directions in the design and implementation of effective fall prediction and prevention systems

SLEEP TRACKING AS A STRESSOR: EXPERIENCES FROM SMART RING USERS

Lack of sleep hygiene is a widespread problem that drives the demand for sleep-tracking technologies. Prior research discussed the dark side of self-tracking technologies, but research specifically on sleep-tracking technologies is scarce. This study explores what potential stressors users attribute to sleep tracking executed through a smart ring. We conducted 38 semi-structured interviews and used thematic analysis to identify eight potential stressors in the context of sleep tracking. These stressors include complexity, invasion, inaccuracy, unreliability, data-feelings discrepancy, the pursuit of perfect data, vague guidance and interpretations, and overload with multiple self-tracking technologies. We further theorize these potential stressors using the person-technology fit model. The paper contributes to the nascent IS research on technostress in the context of sleep tracking