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
resourceresearchMuseum and Science Center 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 project builds off prior work conducted for the Science Center Public Forums project (NA15SEC008005) where eight forums were held at different sites across the US related to four climate hazards (drought, sea level rise, extreme heat, and extreme precipitation).
The National Network for Ocean and Climate Change Interpretation [NNOCCI] is a Community of Practice [CoP] dedicated to advancing the conversation on climate change, based on the principle that wide-scale training with proven communication techniques can change the national discourse around climate change to be more productive, creative, and solutions-focused.
NNOCCI CoP is a network of individuals and organizations in formal and informal education, the social sciences, climate sciences, and public policy. By 2018, the community represented more than 184 institutions in 38 states, and over
This report grew out of work by the Issues Laboratory Collaborative, in which five science museums joined together to investigate effective ways to present issues in science and technology and to share what they learned with other centers. Each member developed and evaluated a presentation that explored various aspects of the same topic: global climate change. ILC museums were: Discovery Place, Charlotte, NC; The Franklin Institute Science Museum, Philadelphia; Museum of Science, Boston; Orlando Science Center; and Oregon Museum of Science and Industry, Portland. An appendix to the report
DATE:
TEAM MEMBERS:
Ann MintzMinda BorunMargaret Chambers
Snow: Tiny Crystals, Global Impact is a 2,500 ft traveling exhibition about: how snow shapes and sustains life on Earth, the impacts of climate change on snow, and the importance of our collective engagement to take action. The exhibition will be installed at OMSI during winter 2021-2022 for summative evaluation and learning research.
This poster was presented at the 2021 NSF AISL Awardee Meeting.