Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data.

Maia B. Song

dblp:374/8451 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0007-6005-8393ORCID · 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
Human-AI interaction · 77% Learning and educational technologies · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-AI interaction › human-centered AI
child-AI interaction
0.812024
"I want it to talk like Darth Vader": Helping Children Construct Creative Self-Efficacy with Generative AI · CHI 2024
Learning and educational technologies › active learning
constructionist learning
0.212024
"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

participatory design · 0.8co-design workshops · 0.8
YearPublicationVenuePosition
2024 "I want it to talk like Darth Vader": Helping Children Construct Creative Self-Efficacy with Generative AI
abstract
The 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
CHI7