@inproceedings{a4aa99a2448d4defad629e6f1b90e395,
title = "AdaptReview: Towards Effective Video Review Using Text Summaries and Concept Maps",
abstract = "Video review is commonly performed by learners to clarify or make up for the content they have missed. However, it is not well supported in the current video learning environment. In this paper, we investigated the design of techniques to facilitate effective video review. Through a preliminary study, we observed learners{\textquoteright} review behaviors, identified their challenges, and derived three design goals. We then designed two review techniques, concept map based review (CMReview) and text summary based review (TSReview). Evaluation studies were conducted to understand learners{\textquoteright} post-review learning performance and review experiences using both techniques on short and long videos. Results showed similar learning performance for short videos across both techniques, but CMReview improved understanding for long videos and was preferred by most users. We conclude by discussing implications for integrating with current video learning platforms. {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.",
keywords = "Concept map, Text summary, Video review",
author = "Shan Zhang and Yang Chen and Nuwan Janaka and Chloe Haigh and Shengdong Zhao and Ooi, {Wei Tsang}",
year = "2023",
month = aug,
day = "25",
doi = "10.1007/978-3-031-42283-6_25",
language = "English",
isbn = "978-3-031-42282-9",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer, Cham",
pages = "461--481",
booktitle = "Human-Computer Interaction – INTERACT 2023",
note = "19th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2023 ; Conference date: 28-08-2023 Through 01-09-2023",
}