Active Prolonged Engagement EXpanded (APEX): A Toolkit for Supporting Evidence-Based Iterative Design Decisions for Collaborative, Embodied Museum Exhibits

Duri Long; Tom McKlin; Nylah Akua Adjei Boone; Dezarae Dean; Mirina Garoufalidis; Brian Magerko

doi:10.1145/3512897

Active Prolonged Engagement EXpanded (APEX): A Toolkit for Supporting Evidence-Based Iterative Design Decisions for Collaborative, Embodied Museum Exhibits

Duri Long, Tom McKlin, Nylah Akua Adjei Boone, Dezarae Dean, Mirina Garoufalidis, Brian Magerko

Communication Studies

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

This article presents Active Prolonged Engagement eXpanded (APEX), a framework and toolkit for informing evidence-based decisions about the iterative design of embodied, collaborative museum exhibits. We provide an overview of APEX, a framework that builds on both prior work and experimentally derived data to provide an understanding of how visitors' physical, social, emotional, and intellectual engagement transform during the course of their interaction with an exhibit. We present two case studies demonstrating how to apply APEX in practice, analyzing video recordings of participant interactions with different design iterations of TuneTable-an interactive exhibit for co-creative computational music-making-at both a macro- and micro-level. In the case studies, we explore how APEX reveals important features of participant interaction that suggest implications and directions for design. Finally, we present a toolkit of resources to aid researchers in operationalizing APEX as a framework for video analysis, in-situ observation, and iterative design and evaluation.

Original language	English (US)
Article number	50
Journal	Proceedings of the ACM on Human-Computer Interaction
Volume	6
Issue number	CSCW1
DOIs	https://doi.org/10.1145/3512897
State	Published - Apr 7 2022

Funding

This work is supported by the National Science Foundation, under grant DRL-1612644. We would like to thank all past and present members of the TuneTable evaluation and design teams, especially Jason Freeman, Astrid Bin, Anna Weisling, Anna Xambó, Gerard Roma, Hannah Guthrie, William Martin, Emily Bryans, Steven Blough, and Katlyn Voravong, without whom this research would not have been possible. We would also like to thank Aaron Price and the Museum of Science and Industry, Chicago for supporting and providing an audience for this research. This project is funded by the National Science Foundation (DRL #1612644).

Keywords

co-creativity
collaborative learning
CS education
embodiment
evaluation
family group learning
informal learning
museum exhibits
qualitative analysis
tangible

ASJC Scopus subject areas

Social Sciences (miscellaneous)
Human-Computer Interaction
Computer Networks and Communications

Access to Document

10.1145/3512897

Cite this

@article{6f866163c7df48d2ade29c1aee2296df,

title = "Active Prolonged Engagement EXpanded (APEX): A Toolkit for Supporting Evidence-Based Iterative Design Decisions for Collaborative, Embodied Museum Exhibits",

abstract = "This article presents Active Prolonged Engagement eXpanded (APEX), a framework and toolkit for informing evidence-based decisions about the iterative design of embodied, collaborative museum exhibits. We provide an overview of APEX, a framework that builds on both prior work and experimentally derived data to provide an understanding of how visitors' physical, social, emotional, and intellectual engagement transform during the course of their interaction with an exhibit. We present two case studies demonstrating how to apply APEX in practice, analyzing video recordings of participant interactions with different design iterations of TuneTable-an interactive exhibit for co-creative computational music-making-at both a macro- and micro-level. In the case studies, we explore how APEX reveals important features of participant interaction that suggest implications and directions for design. Finally, we present a toolkit of resources to aid researchers in operationalizing APEX as a framework for video analysis, in-situ observation, and iterative design and evaluation.",

keywords = "co-creativity, collaborative learning, CS education, embodiment, evaluation, family group learning, informal learning, museum exhibits, qualitative analysis, tangible",

author = "Duri Long and Tom McKlin and Boone, {Nylah Akua Adjei} and Dezarae Dean and Mirina Garoufalidis and Brian Magerko",

note = "Funding Information: This work is supported by the National Science Foundation, under grant DRL-1612644. Funding Information: We would like to thank all past and present members of the TuneTable evaluation and design teams, especially Jason Freeman, Astrid Bin, Anna Weisling, Anna Xamb{\'o}, Gerard Roma, Hannah Guthrie, William Martin, Emily Bryans, Steven Blough, and Katlyn Voravong, without whom this research would not have been possible. We would also like to thank Aaron Price and the Museum of Science and Industry, Chicago for supporting and providing an audience for this research. This project is funded by the National Science Foundation (DRL #1612644). Publisher Copyright: {\textcopyright} 2022 ACM.",

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doi = "10.1145/3512897",

language = "English (US)",

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Active Prolonged Engagement EXpanded (APEX): A Toolkit for Supporting Evidence-Based Iterative Design Decisions for Collaborative, Embodied Museum Exhibits. / Long, Duri; McKlin, Tom; Boone, Nylah Akua Adjei et al.
In: Proceedings of the ACM on Human-Computer Interaction, Vol. 6, No. CSCW1, 50, 07.04.2022.

Research output: Contribution to journal › Article › peer-review

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T1 - Active Prolonged Engagement EXpanded (APEX)

T2 - A Toolkit for Supporting Evidence-Based Iterative Design Decisions for Collaborative, Embodied Museum Exhibits

AU - Long, Duri

AU - McKlin, Tom

AU - Boone, Nylah Akua Adjei

AU - Dean, Dezarae

AU - Garoufalidis, Mirina

AU - Magerko, Brian

N1 - Funding Information: This work is supported by the National Science Foundation, under grant DRL-1612644. Funding Information: We would like to thank all past and present members of the TuneTable evaluation and design teams, especially Jason Freeman, Astrid Bin, Anna Weisling, Anna Xambó, Gerard Roma, Hannah Guthrie, William Martin, Emily Bryans, Steven Blough, and Katlyn Voravong, without whom this research would not have been possible. We would also like to thank Aaron Price and the Museum of Science and Industry, Chicago for supporting and providing an audience for this research. This project is funded by the National Science Foundation (DRL #1612644). Publisher Copyright: © 2022 ACM.

PY - 2022/4/7

Y1 - 2022/4/7

N2 - This article presents Active Prolonged Engagement eXpanded (APEX), a framework and toolkit for informing evidence-based decisions about the iterative design of embodied, collaborative museum exhibits. We provide an overview of APEX, a framework that builds on both prior work and experimentally derived data to provide an understanding of how visitors' physical, social, emotional, and intellectual engagement transform during the course of their interaction with an exhibit. We present two case studies demonstrating how to apply APEX in practice, analyzing video recordings of participant interactions with different design iterations of TuneTable-an interactive exhibit for co-creative computational music-making-at both a macro- and micro-level. In the case studies, we explore how APEX reveals important features of participant interaction that suggest implications and directions for design. Finally, we present a toolkit of resources to aid researchers in operationalizing APEX as a framework for video analysis, in-situ observation, and iterative design and evaluation.

AB - This article presents Active Prolonged Engagement eXpanded (APEX), a framework and toolkit for informing evidence-based decisions about the iterative design of embodied, collaborative museum exhibits. We provide an overview of APEX, a framework that builds on both prior work and experimentally derived data to provide an understanding of how visitors' physical, social, emotional, and intellectual engagement transform during the course of their interaction with an exhibit. We present two case studies demonstrating how to apply APEX in practice, analyzing video recordings of participant interactions with different design iterations of TuneTable-an interactive exhibit for co-creative computational music-making-at both a macro- and micro-level. In the case studies, we explore how APEX reveals important features of participant interaction that suggest implications and directions for design. Finally, we present a toolkit of resources to aid researchers in operationalizing APEX as a framework for video analysis, in-situ observation, and iterative design and evaluation.

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KW - informal learning

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KW - qualitative analysis

KW - tangible

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Active Prolonged Engagement EXpanded (APEX): A Toolkit for Supporting Evidence-Based Iterative Design Decisions for Collaborative, Embodied Museum Exhibits

Abstract

Funding

Keywords

ASJC Scopus subject areas

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