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resource research Museum 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.
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TEAM MEMBERS: Jonathan Rowe Wookhee Min Seung Lee Bradford Mott James Lester
resource research Museum 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 Henderson Wookhee Min Andrew Emerson Jonathan Rowe Seung Lee James Minogue James Lester
resource research Museum 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 Emerson Nathan Henderson Wookhee Min Jonathan Rowe James Minogue James Lester
resource research Museum 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 Emerson Nathan Henderson Jonathan Rowe Wookhee Min Seung Lee James Minogue James Lester
resource research Museum 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.
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TEAM MEMBERS: Halim Acosta Nathan Henderson Jonathan Rowe Wookhee Min James Minogue James Lester
resource research Museum and Science Center Exhibits
In this paper, we introduce a multimodal early prediction approach to modeling visitor engagement with interactive science museum exhibits.
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TEAM MEMBERS: Andrew Emerson Nathan Henderson Jonathan Rowe Wookhee Min Seung Lee James Minogue James Lester
resource evaluation Exhibitions
This paper presents synthesized research on where XR is most effective within a museum setting and what impact XR might have on the visitor experience.
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TEAM MEMBERS: Madeleine Pope Kate Haley Goldman William Swartout Dr. Emily Lindsey Dr. Benjamin Nye Dr. Gale Sinatra
resource evaluation Museum and Science Center Exhibits
The linked repository contains select resources from the SICIIT NSF project (Supporting Science and Engineering Identity Change in Immersive Interactive Technologies). The project did not reach its main objective, mainly due to disruptions caused by COVID, but we hope that the materials will be a useful resource for follow-up research.
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TEAM MEMBERS: Stefan Rank Ayana Allen Glen Muschio Aroutis Foster Kapil Dandekar
resource research Exhibitions
The open-access proceedings from this conference are available in both English and Spanish.
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TEAM MEMBERS: John Voiklis Jena Barchas-Lichtenstein Uduak Grace Thomas Bennett Attaway Lisa Chalik Jason Corwin Kevin Crowley Michelle Ciurria Colleen Cotter Martina Efeyini Ronnie Janoff-Bulman Jacklyn Grace Lacey Reyhaneh Maktoufi Bertram Malle Jo-Elle Mogerman Laura Niemi Laura Santhanam
resource research Media and Technology
U!Scientist is an in-gallery touch table adaptation of the popular online citizen science project Galaxy Zoo. Taking advantage of the social opportunities in a museum setting, the project aims not only to enhance visitors’ science self-efficacy but also to encourage visitors to discuss their choices with friends and family. This poster was presented at the 2019 NSF AISL Principal Investigators Meeting.
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TEAM MEMBERS: Becky Rother
resource research Media and Technology
This CAISE report is designed to track and characterize sector growth, change and impact, important publications, hot topics/trends, new players, funding, and other related areas in Informal STEM Education (ISE) in 2017. The goal is to provide information and links for use by ISE professionals, science communicators, and interested stakeholders who want to discover new strategies and potential collaborators for project and proposal development. Designed as a slide presentation and divided into sectors, it can be used modularly or as a complete report. Each sector reports on research, events
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resource research Media and Technology
In respect of the different modes of science communication including journalism, radio, online, I would propose that the process of making exhibitions and centres dedicated to science & technology is one of the hardest creative typologies. It also provides a very different type of engagement to other modes, in that it works in real time and space with real tangible objects and responsive media. The power of the real is also extended through the direct and collective involvement of people, providing a refreshing antidote to the potential alienating nature of social media and the ever-growing
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TEAM MEMBERS: Peter Higgins