Zhennan Yi

Zhennan Yi

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Zhennan Yi

Indiana University at Bloomington, Bloomington, USA

Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 May 2024
Verified
Conference Paper
Open access
JGJiasi Gao
Jiasi Gao
ACAn Chen
An Chen
ZYZhennan Yi
Zhennan Yi
XYXueye Yan
Xueye Yan
JLJiayi Liu
Jiayi Liu
JGJiangtao Gong
Jiangtao Gong
Preschool educators play an important role in supporting children’s emotion regulation capacities in ways that promote their socio-emotional and behavioral health. However, tracking children’s emotional changes and giving timely intervention to every child in the class simultaneously is challenging for preschool educators. In this paper, we use the "calm-down corner," which is widely used in classrooms with spaces where children can regain emotional control, as a probe to explore the design space of technology-supported preschool educators dealing with children’s emotional problems through one semi-structured interview with ten preschool educators and one co-design session with another 12 preschool educators. We summarized current challenges and the design considerations from preschool educators’ perspective, which could offer valuable insights for technology-enabled systems to facilitate the emotion regulation process for educators in the future.

3 August 2026 in Journal of Adolescence
Verified
Journal Article
Closed access
PDF file
XGXiaomin Geng
Xiaomin Geng
JXJiale Xiao
Jiale Xiao
DLDandan Li
Dandan Li
LCLu Chen
Lu Chen
ZYZhennan Yi
Zhennan Yi
JXJianjie Xu
Jianjie Xu


16 July 2026 in SSRN Electronic Journal
Verified
Preprint
Open access
NRNicoleta Diana Radu
Nicoleta Diana Radu
AKAntonia Krummheuer
Antonia Krummheuer
MRMatthias Rehm
Matthias Rehm
AMAnders Kalsgaard Møller
Anders Kalsgaard Møller
ZYZhennan Yi
Zhennan Yi
SSSelma Sabanovic
Selma Sabanovic
Robots in children’s group activities must coordinate with the local organization of talk, participation, and attention. Yet robots sometimes act in ways that participants treat as misfitting the ongoing interaction. We conceptualize these moments as interactional misalignment. Drawing on conversation analysis of video-recorded robot-mediated group activities across multiple sites, we develop an inductive taxonomy of recurrent misalignments between robot conduct and participants’ orientations: turn-taking, sensorial, epistemic, deontic, and uptake-related. Across cases, children manage these moments through laughter, resistance, correction, and peer coordination, sustaining progress while revealing expectations for accountable robot behavior. We then propose a taxonomy-driven repair challenge protocol for evaluating robots’ sensitivity to participants’ displayed orientations, reframing robustness in group child--robot interaction as interactional adaptation rather than error prevention.