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Yulu Cui

dblp:89/10264 · DBLP profile ↗
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3ranked-venue papers
1as first author
1since 2021 · last 2026
0000-0002-0087-9903ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 3 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1

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 · 44% Human-robot interaction · 44% Games and playful interaction · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-AI interaction › human-centered AI
child-AI interaction
1.012026
Emotional engagement in AI storytelling: The role of nonverbal cues in child-AI interactions · Int. J. Hum. Comput. Stud. 2026
Human-robot interaction › affective interaction
emotional engagement
1.012026
Emotional engagement in AI storytelling: The role of nonverbal cues in child-AI interactions · Int. J. Hum. Comput. Stud. 2026
YearPublicationVenuePosition
2026 Emotional engagement in AI storytelling: The role of nonverbal cues in child-AI interactions
Yulu Cui, Wei Miao He
Int. J. Hum. Comput. Stud.1
2020 Hotspots and Trends of Virtual Reality, Augmented Reality and Mixed Reality in Education Field
abstract
With developments in computer graphics and simulation technology, virtual reality (VR), augmented reality (AR) and mixed reality (MR) have been more widely used in several areas of education. To explore and predict hotspots and research trends of VR, AR and MR in education, knowledge mapping is used to provide visualizations of publishing trends, countries, institutions and author co-citations based on Web of Science database in the last ten years. Nine hotspots and trends, including cognitive load, learning environment, knowledge acquisition, training, gamification, assessment, children education, engineering education, and higher medical education, are discovered in the study to show us future research directions in the education field.
Yulu Cui, Huaming Shan, Zhili Qu, Wanxiong Zhang, Lujie Tu
iLRN2
2011 Audio Visual Emotion Recognition Based on Triple-Stream Dynamic Bayesian Network Models
Dongmei Jiang, Yulu Cui, Isabel Gonzalez, Hichem Sahli
ACII (1)2