CoKnowledge: Supporting Assimilation of Time-synced Collective Knowledge in Online Science Videos

Yuanhao Zhang, Yumeng Wang, Xiyuan Wang, Changyang He, Chenliang Huang, and Xiaojuan Ma

• We developed CoKnowledge — a tool incorporating video abstracts, knowledge graphs, and supplementary danmaku features support viewers’ assimilation of collective knowledge in online science videos.

DBox: Scaffolding Algorithmic Programming Learning through Learner-LLM Co-Decomposition

Shuai Ma, Junling Wang, Yuanhao Zhang, Xiaojuan Ma, and April Wang

• We introduced Decomposition Box (DBox), an LLM-based interactive system that scaffolds and adapts to learners’ personalized construction of a step tree by providing just the right level of support.

Be There, Be Fun, Be Streamed! Designing Interactive AR Scenic Live-Streaming.

Zeyu Huang, Zuyu Xu, Yuanhao Zhang, Chengzhong Liu, Yanwei Zhao, Chuhan Shi, Chen Zhao, and Xiaojuan Ma

• We propose a medium called Augmented Reality Scenic Live-Streaming (ARSLS), where additional virtual content is superimposed and integrated into the real-world scene to actualize proper audience interactions in scenic-oriented live streams.

DiscipLink: Unfolding Interdisciplinary Information Seeking Process via Human-AI Co-Exploration

Chengbo Zheng, Yuanhao Zhang, Zeyu Huang, Chuhan Shi, Minrui Xu, and Xiaojuan Ma

• We introduce DiscipLink, a novel interactive system that facilitates collaboration between researchers and large language models (LLMs) in interdisciplinary information seeking (IIS).

Sharing Frissons among Online Video Viewers: Exploring the Design of Affective Communication for Aesthetic Chills

Zeyu Huang, Xinyi Cao, Yuanhao Zhang, and Xiaojuan Ma.

• We propose an afective communication approach on online video platforms that senses, aggregates, and presents viewers’ frissons while watching videos asynchronously.

Exploring the Effects of Self-Mockery to Improve Task-Oriented Chatbot’s Social Intelligence

Chengzhong Liu, Shixu Zhou, Yuanhao Zhang, Shixu Zhou, Dingdong Liu, Zhenhui Peng, and Xiaojuan Ma.

• We proposed to apply self-mockery humor to a customer service chatbot in different interaction stages with users to improve chatbots’ overall social intelligence.

When Gamification Spoils Your Learning: A Qualitative Case Study of Gamification Misuse in a Language-LearningApp

Reza Hadi Mogavi, Bingcan Guo, Yuanhao Zhang, Ehson UI Haq, Pan Hui, and Xiaojuan Ma.

• We conducted the first extensive qualitative research on gamification misuse in a popular learning app called Duolingo. This study consists of two phases: (I) a content analysis of data from Duolingo forums (from the past nine years) and (II) semi-structured interviews with 15 international Duolingo users.

What Do Users Think of Promotional Gamification Schemes? A Qualitative Case Study in a Question Answering Website

Reza Hadi Mogavi, Yuanhao Zhang, Yongjin Wu, Pan Hui, and Xiaojuan Ma.

• We conduct an extensive qualitative case study of users’ experiences with a promotional gamification scheme on the Community Question Answering Website (CQA) of Stack Exchange, called Winter Bash (WB).