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.
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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.
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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.
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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.
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TEAM MEMBERS:
Andrew EmersonNathan HendersonJonathan RoweWookhee MinSeung LeeJames MinogueJames Lester
The Arctic is warming four times faster as a result of climate change than any other region, but the impacts of this warming are not well known beyond the local communities in the region. The Alaska Pacific University (APU) will organize a one-year planning project to further develop relationships with four Indigenous communities along the Alaskan Yukon River who are experiencing environmental and social impacts from the climate crisis.
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TEAM MEMBERS:
James TemteJulie Brigham-GretteBlane De St CroixErin Marbarger
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.
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TEAM MEMBERS:
Halim AcostaNathan HendersonJonathan RoweWookhee MinJames MinogueJames Lester
resourceresearchMuseum and Science Center Exhibits
This is an overview of research to measure STEM Engagement and Advocacy of Older Adults (50+). This work explored findings from Design Challenges hosted for older adult learners and also resulted in survey instruments to be used for this population. It also outlines constructs that were developed to inform the research.
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TEAM MEMBERS:
Sarah Olsen
resourceevaluationMuseum and Science Center Exhibits
The Kaulele Kapa Exhibit was created to explore the effectiveness of a Hawaiian culture-based framework and approach in increasing learner engagement and depth of knowledge in STEM among Native Hawaiian/Pacific Islander (NHPI) learners. The exhibit utilized hands-on and interactive activities, coupled with scientific and cultural information, to create relevant learning experiences for these communities. To determine the effectiveness, exhibit attendees were invited to complete a survey that asked about how the exhibit influenced their interest and understanding of STEM and Hawaiian culture
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TEAM MEMBERS:
Ciera Pagud Rachelle Chauhan
resourceresearchMuseum and Science Center Exhibits
An adapted three-dimensional model of place attachment is proposed as a theoretical framework from which place-based citizen science experiences and outcomes might be empirically examined in depth.
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TEAM MEMBERS:
Julia ParrishYurong HeBenjamin Haywood