Demo Data from SIGIR 2026 / reviewers in the wild / expert
Arya Tavakoulnia
dblp:248/9845
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0003-3782-4348ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Human-computer interaction and pervasive computing
2 papers |
Health and well-being technologies · 36% Wearable and physiological sensing · 34% Accessibility and assistive technology · 23% |
Topics — the 3 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Accessibility and assistive technology › assistive technology
assistive technology for children |
0.4 | 1 | 2020 | Supporting Self-Regulation of Children with ADHD Using Wearables: Tensions and Design Challenges · CHI 2020 |
Wearable and physiological sensing › smart wearable
smartwatch applications |
0.4 | 1 | 2020 | Supporting Self-Regulation of Children with ADHD Using Wearables: Tensions and Design Challenges · CHI 2020 |
Wearable and physiological sensing › smart wearable
smartwatch |
0.2 | 1 | 2023 | Me, My Health, and My Watch: How Children with ADHD Understand Smartwatch Health Data · ACM Trans. Comput. Hum. Interact. 2023 |
Methods — techniques the papers use, named apart from their topics
interviews · 0.7deployment study · 0.7thematic analysis · 0.4participatory design · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Me, My Health, and My Watch: How Children with ADHD Understand Smartwatch Health DataabstractChildren with ADHD can experience a wide variety of challenges related to self-regulation, which can lead to poor educational, health, and wellness outcomes. Technological interventions, such as mobile and wearable health systems, can support data collection and reflection about health status. However, little is known about how ADHD children interpret such data. We conducted a deployment study with 10 children, aged 10 to 15, for six weeks, during which they used a smartwatch in their homes. Results from observations and interviews during this study indicate that children with ADHD can interpret their own health data, particularly at the moment. However, as ADHD children develop more autonomy, smartwatch systems may require alternatives for data reflection that are interpretable and actionable for them. This work contributes to the scholarly discourse around health data visualization, particularly in considering implications for the design of health technologies for children with ADHD. Elizabeth A. Ankrah, Franceli L. Cibrian, Lucas M. Silva, Arya Tavakoulnia, Jesus A. Beltran, Sabrina Schuck, Kimberley D. Lakes, Gillian R. Hayes |
ACM Trans. Comput. Hum. Interact. | 4 |
| 2020 | Supporting Self-Regulation of Children with ADHD Using Wearables: Tensions and Design ChallengesabstractThe design of wearable applications supporting children with Attention Deficit Hyperactivity Disorders (ADHD) requires a deep understanding not only of what is possible from a clinical standpoint but also how the children might understand and orient towards wearable technologies, such as a smartwatch. Through a series of participatory design workshops with children with ADHD and their caregivers, we identified tensions and challenges in designing wearable applications supporting the self-regulation of children with ADHD. In this paper, we describe the specific challenges of smartwatches for this population, the balance between self-regulation and co-regulation, and tensions when receiving notifications on a smartwatch in various contexts. These results indicate key considerations-from both the child and caregiver viewpoints-for designing technological interventions supporting children with ADHD. Franceli L. Cibrian, Kimberley D. Lakes, Arya Tavakoulnia, Kayla Guzman, Sabrina Schuck, Gillian R. Hayes |
CHI | 3 |