Multimodal Trajectory Analysis of Visitor Engagement with Interactive Science Museum Exhibits
Multimodal Trajectory Analysis of Visitor Engagement with Interactive Science Museum Exhibits
复制标题
游客与互动科学博物馆展品互动的多模态轨迹分析
DOI：
10.1007/978-3-030-78270-2_27
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Lester, James
中科院分区：
文献类型：
--
作者：
Emmerson, Andrew;Henderson, Nathan;Min, Wookhee;Rowe, Jonathan;Minogue, James;Lester, James
近年来，人们越来越感兴趣的调查游客参与科学博物馆与多模态学习分析。参观者参与是一个多维度的过程，在博物馆参观过程中暂时展开。在本文中，我们介绍了一个多模式的轨迹分析框架建模游客参与互动科学展览的环境可持续性。我们通过基于斜率的时间序列分析研究了游客与展览互动过程中捕获的多模态数据的轨迹。利用每个多模态数据通道的时间序列表示的斜率，我们进行了一项消融研究，以研究在对访客参与度建模的同时，其他模态如何提高准确性。我们能够提高游客参与度模型占游客的科学魅力的不同水平，一个结构整合科学的兴趣，好奇心和掌握目标。结果表明，基于语义的多模态游客数据的表示可以作为游客参与建模的基础，以提高博物馆的学习体验。
Recent years have seen a growing interest in investigating visitor engagement in science museums with multimodal learning analytics. Visitor engagement is a multidimensional process that unfolds temporally over the course of a museum visit. In this paper, we introduce a multimodal trajectory analysis framework for modeling visitor engagement with an interactive science exhibit for environmental sustainability. We investigate trajectories of multimodal data captured during visitor interactions with the exhibit through slope-based time series analysis. Utilizing the slopes of the time series representations for each multimodal data channel, we conduct an ablation study to investigate how additional modalities lead to improved accuracy while modeling visitor engagement. We are able to enhance visitor engagement models by accounting for varying levels of visitors’ science fascination, a construct integrating science interest, curiosity, and mastery goals. The results suggest that trajectory-based representations of the multimodal visitor data can serve as the foundation for visitor engagement modeling to enhance museum learning experiences.
影响因子：
2.3
作者：
Bonnette, Rachel N.;Crowley, Kevin;Schunn, Christian D.
通讯作者：
Schunn, Christian D.
在博物馆学习
DOI：
--
发表时间：
2015
期刊：
影响因子：
--
作者：
B. Anderson;L. Seelye;Barbara Hammersberg;Sarah D. Bair;M. Bauermeister
通讯作者：
M. Bauermeister