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Andres S. Bustamante

dblp:319/3894 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2025
0000-0002-7678-816XORCID · 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
1 paper
Human-AI interaction · 61% Learning and educational technologies · 30% Collaborative and social computing · 9%

Topics — the 2 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-AI interaction › virtual agents
child-agent interaction
0.612022
"Elinor's Talking to Me!": Integrating Conversational AI into Children's Narrative Science Programming · CHI 2022
Human-AI interaction
conversational agents
0.612022
"Elinor's Talking to Me!": Integrating Conversational AI into Children's Narrative Science Programming · CHI 2022

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

user study · 0.6conversational agent · 0.6
YearPublicationVenuePosition
2025 "Carlitos the Curious Caterpillar": Exploring Teacher-AI Co-Creation of Culturally Responsive Educational Materials for Young Learners
abstract
Peer Reviewed
Kunlei He, Xuechen Liu 0003, Andres S. Bustamante, Mark Warschauer
IDC4
2022 "Elinor's Talking to Me!": Integrating Conversational AI into Children's Narrative Science Programming
abstract
Video programs are important, accessible educational resources for young children, especially those from an under-resourced backgrounds. These programs’ potential can be amplified if children are allowed to socially interact with media characters during their video watching. This paper presents the design and empirical investigation of interactive science-focused videos in which the main character, powered by a conversational agent, engaged in contingent conversation with children by asking children questions and providing responsive feedback. We found that children actively interacted with the media character in the conversational videos and their parents spontaneously provided support in the process. We also found that the children who watched the conversational video performed better in the immediate, episode-specific science assessment compared to their peers who watched the broadcast, non-interactive version of the same episode. Several design implications are discussed for using conversational technologies to better support child active learning and parent involvement in video watching.
Valery Vigil, Andres S. Bustamante, Mark Warschauer
CHI3