Demo Data from VLDB 2026 / reviewers in the wild / expert
Matthew Kyle Pedraja
dblp:374/9433
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2026
0009-0002-5224-427XORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 2 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 |
Design research and methods · 54% Learning and educational technologies · 29% Human-AI interaction · 18% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Design research and methods › participatory design
co-design with children |
1.0 | 1 | 2026 | Rethinking Misinformation: A Holistic Community Model for Youth Resilience through Socioemotional Learning and Sociocultural Design · CHI 2026 |
Design research and methods
participatory design |
1.0 | 1 | 2026 | Rethinking Misinformation: A Holistic Community Model for Youth Resilience through Socioemotional Learning and Sociocultural Design · CHI 2026 |
Human-AI interaction › human-centered AI
child-AI interaction |
0.8 | 1 | 2024 | "I want it to talk like Darth Vader": Helping Children Construct Creative Self-Efficacy with Generative AI · CHI 2024 |
Design research and methods › participatory design
community-based design |
0.3 | 1 | 2026 | Rethinking Misinformation: A Holistic Community Model for Youth Resilience through Socioemotional Learning and Sociocultural Design · CHI 2026 |
Learning and educational technologies › active learning
constructionist learning |
0.2 | 1 | 2024 | "I want it to talk like Darth Vader": Helping Children Construct Creative Self-Efficacy with Generative AI · CHI 2024 |
Methods — techniques the papers use, named apart from their topics
co-design workshops · 1.8qualitative analysis · 1.0participatory design · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Rethinking Misinformation: A Holistic Community Model for Youth Resilience through Socioemotional Learning and Sociocultural DesignabstractWith the growing prevalence of online mis/disinformation encountered by children, digital media literacy has become an urgent concern. Existing research emphasizes cognitive models, focusing on individual reasoning and specific quantitative criteria to classify people’s information literacy. However, critics argue that focusing solely on cognitive approach neglects the social, emotional, and cultural contexts that shape how mis/disinformation is created and spread. In this study, we expand beyond the cognitive model by examining socioemotional learning (SEL) and sociocultural (SC) perspectives. To explore how children conceptualize mis/disinformation through these lenses, we conducted 26 co-design workshops with children ages 6–11 over a 2.5-year period. Our findings highlight children’s awareness of emotional responses, peer pressure, financial incentives, and the importance of community support. These insights contribute to HCI by foregrounding the need for design approaches that integrate cognitive, SEL, and SC dimensions. We present an integrated framework to inform how community groups can support children and design recommendations that address the growing sophistication of mis/disinformation. Jason C. Yip 0001, Michele Newman, Runhua Zhao, Darae Kim, Jan R. Lim, Matthew Kyle Pedraja, Swati Sachdeva, Yifang Zhou, Chris Coward, Jin Ha Lee 0001 |
CHI | 6 |
| 2024 | "I want it to talk like Darth Vader": Helping Children Construct Creative Self-Efficacy with Generative AIabstractThe emergence of generative artificial intelligence (GenAI) has ignited discussions surrounding its potential to enhance creative pursuits. However, distinctions between children’s and adult’s creative needs exist, which is important when considering the possibility of GenAI for children’s creative usage. Building upon work in Human-Computer Interaction (HCI), fostering children’s computational thinking skills, this study explores interactions between children (aged 7-13) and GenAI tools through methods of participatory design. We seek to answer two questions: (1) How do children in co-design workshops perceive GenAI tools and their usage for creative works? and (2) How do children navigate the creative process while using GenAI tools? How might these interactions support their confidence in their ability to create? Our findings contribute a model that describes the potential contexts underpinning child-GenAI creative interactions and explores implications of this model for theories of creativity, design, and use of GenAI as a constructionist tool for creative self-efficacy. Michele Newman, Kaiwen Sun 0001, Ilena B. Dalla Gasperina, Grace Y. Shin, Matthew Kyle Pedraja, Ritesh Kanchi, Maia B. Song, Rannie Li, Jin Ha Lee 0001, Jason C. Yip 0001 |
CHI | 5 |