EDBT 2026 Demo / reviewers in the wild / expert
Parth Arora
dblp:358/4761
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0001-7992-7391ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1 · 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
1 paper |
Accessibility and assistive technology · 44% Collaborative and social computing · 44% Design research and methods · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Accessibility and assistive technology
neurodiversity |
0.8 | 1 | 2024 | Designing for Strengths: Opportunities to Support Neurodiversity in the Workplace · CHI 2024 |
Design research and methods
participatory design |
0.2 | 1 | 2024 | Designing for Strengths: Opportunities to Support Neurodiversity in the Workplace · CHI 2024 |
Methods — techniques the papers use, named apart from their topics
strengths-based design · 0.8co-design · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Designing for Strengths: Opportunities to Support Neurodiversity in the WorkplaceabstractSupported employment programs have demonstrated the ability to enhance employment outcomes for neurodivergent individuals by offering personalized job coaching that aligns with the strengths of each individual. While various technological interventions have been designed to support these programs, technologies that hyperfocus on users’ assumed challenges through deficit-based design have been criticized due to their potential to undermine the agency of neurodivergent individuals. Therefore, we use strengths-based co-design to explore the opportunities for a technology that supports neurodivergent employees using their strengths. The co-design activities uncovered our participants’ current strategies to address workplace challenges, the strengths they employ, and the technology designs that our participants developed to operationalize those strengths in a supportive technology. We find that incorporating strengths-based strategies for emotional regulation, interpersonal problem solving, and learning job-related skills can provide a supportive technology experience that bolsters neurodiverse employees’ agency and independence in the workplace. In response, we suggest design implications for using neurodiverse strengths as design requirements and how to design for independence in workplace. Kaely Hall, Parth Arora, Rachel Lowy, Jennifer G. Kim |
CHI | 2 |