Researchers at Arizona State University (ASU), in partnership with the Smithsonian Museum on Main Street (MoMS), the Arizona Science Center, and eight tribal and rural museum sites around Arizona, will help educate and empower communities living in the Desert Southwest on water sustainability issues through the creation of WaterSIMmersion, a mixed reality (MR) educational game and accompanying museum exhibit.
DATE:
-
TEAM MEMBERS:
Claire LauerScotty CraigMina Johnson-GlenbergMichelle Hale
resourceresearchMuseum and Science Center Exhibits
Recent advances in multimodal learning analytics show significant promise for addressing these challenges by combining multi-channel data streams from fully-instrumented exhibit spaces with multimodal machine learning techniques to model patterns in visitor experience data. We describe initial work on the creation of a multimodal learning analytics framework for investigating visitor engagement with a game-based interactive surface exhibit for science museums called Future Worlds.
DATE:
TEAM MEMBERS:
Jonathan RoweWookhee MinSeung LeeBradford MottJames Lester
resourceresearchMuseum and Science Center Exhibits
Multimodal models often utilize video data to capture learner behavior, but video cameras are not always feasible, or even desirable, to use in museums. To address this issue while still harnessing the predictive capacities of multimodal models, we investigate adversarial discriminative domain adaptation for generating modality-invariant representations of both unimodal and multimodal data captured from museum visitors as they engage with interactive science museum exhibits.
DATE:
TEAM MEMBERS:
Nathan HendersonWookhee MinAndrew EmersonJonathan RoweSeung LeeJames MinogueJames Lester
resourceresearchMuseum and Science Center Exhibits
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.
DATE:
TEAM MEMBERS:
Andrew EmersonNathan HendersonWookhee MinJonathan RoweJames MinogueJames Lester
resourceresearchMuseum and Science Center Exhibits
In this paper, we introduce a Bayesian hierarchical modeling framework for predicting learner engagement with Future Worlds, a tabletop science exhibit for environmental sustainability.
DATE:
TEAM MEMBERS:
Andrew EmersonNathan HendersonJonathan RoweWookhee MinSeung LeeJames MinogueJames Lester
resourceevaluationMuseum and Science Center Exhibits
This document presents the final evaluation report for the NSF-funded AISL project: "Multimodal Visitor Analytics: Investigating Naturalistic Engagement with Interactive Tabletop Science Exhibits."
In this paper, we investigate bias detection and mitigation techniques to address issues of
algorithmic fairness in multimodal models of museum visitor visual attention.
DATE:
TEAM MEMBERS:
Halim AcostaNathan HendersonJonathan RoweWookhee MinJames MinogueJames Lester
resourceresearchMuseum and Science Center Exhibits
This assessment serves as the summative assessment of the IMLS-funded project at KU Biodiversity Institute and Natural History Museum: Natural History Mystery: Immersing families in a problem-solving game using museum collections. The assessment employs a mixed methods approach, in which both quantitative and qualitative data are collected. More specifically, quantitative data are generated from surveys that are administered to participants at the beginning and end of the game and analyzed by using descriptive statistics (i.e., mean, standard deviation, and histogram) and paired sample t-test
The University of Kansas Natural History Museum, in collaboration with the University of California Museum of Paleontology, will develop, test, and deploy an immersive educational game on the topic of evolution and common ancestry. The museum will frame the game with a narrative that involves tracing the origin of a zoonotic disease (infectious disease that is transmitted between species from animals to humans or from humans to animals). Played on the museum floor, the escape room-inspired game will explore innovative formats for museum learning and engagement. It is being designed for families with children ages 7 to 12, and by visiting groups of schoolchildren in grades 3 to 5.