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Siqi Yang 0005

dblp:159/1399-5 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0004-2394-5514ORCID · verified

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
Collaborative and social computing · 50% Learning and educational technologies · 50%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Collaborative and social computing › family technology
joint media engagement
0.812024
Parent-Child Joint Media Engagement Within HCI: A Scoping Analysis of the Research Landscape · CHI 2024

Methods — techniques the papers use, named apart from their topics

scoping review · 0.8
YearPublicationVenuePosition
2024 Parent-Child Joint Media Engagement Within HCI: A Scoping Analysis of the Research Landscape
abstract
Parents play essential roles in children’s play and learning with various media, often leading to positive and productive engagement outcomes for both parties. As such, an increasing number of HCI research has focused on understanding parent-child joint media engagement (JME) and designing new technologies to foster productive joint media experiences for children and parents. However, we currently lack a systematic view of this emerging field, which hinders the research and design of new joint media experiences and technologies for families. In this work, we conduct a scoping review of parent-child JME research within HCI (N = 89) and analyze the included papers from three lenses: publication features, methodological features, and JME features. Based on these findings, we identify gaps and opportunities in parent-child JME research and further expand the theoretical framing of JME by developing a framework that captures different JME dimensions.
Junnan Yu, Xiang Qi, Siqi Yang 0005
CHI3