skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Explore Research Products in the PAR
It may take a few hours for recently added research products to appear in PAR search results.


Title: danceON and softWEAR: Education-level creative coding and programmable wearables
Our research collaborative has been exploring movement computing educational technology experiences. That is, we have been building tools that simultaneously support both movement and computing learning objectives at entry-level. We will demo two products in development. danceON is a domain-specific language and a web app that allows users to create interactive graphics overlaid on video from pre-recorded or live (webcam) sources. soft- WEAR is a solderless and breadboardless ecosystem using sensors, LEDs, and the Adafruit Trinket M0. It is designed to support a workflow from ideation, prototyping, and iteration to a durable, wearable final project embedded into clothing or accessories.  more » « less
Award ID(s):
1933961
PAR ID:
10356083
Author(s) / Creator(s):
; ; ;
Date Published:
Journal Name:
International Conference on Movement and Computing
Page Range / eLocation ID:
1 to 3
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. ; ; ; ; ; ; (, JMIR Research Protocols)
    null (Ed.)
    Background Human movement is one of the forces that drive the spatial spread of infectious diseases. To date, reducing and tracking human movement during the COVID-19 pandemic has proven effective in limiting the spread of the virus. Existing methods for monitoring and modeling the spatial spread of infectious diseases rely on various data sources as proxies of human movement, such as airline travel data, mobile phone data, and banknote tracking. However, intrinsic limitations of these data sources prevent us from systematic monitoring and analyses of human movement on different spatial scales (from local to global). Objective Big data from social media such as geotagged tweets have been widely used in human mobility studies, yet more research is needed to validate the capabilities and limitations of using such data for studying human movement at different geographic scales (eg, from local to global) in the context of global infectious disease transmission. This study aims to develop a novel data-driven public health approach using big data from Twitter coupled with other human mobility data sources and artificial intelligence to monitor and analyze human movement at different spatial scales (from global to regional to local). Methods We will first develop a database with optimized spatiotemporal indexing to store and manage the multisource data sets collected in this project. This database will be connected to our in-house Hadoop computing cluster for efficient big data computing and analytics. We will then develop innovative data models, predictive models, and computing algorithms to effectively extract and analyze human movement patterns using geotagged big data from Twitter and other human mobility data sources, with the goal of enhancing situational awareness and risk prediction in public health emergency response and disease surveillance systems. Results This project was funded as of May 2020. We have started the data collection, processing, and analysis for the project. Conclusions Research findings can help government officials, public health managers, emergency responders, and researchers answer critical questions during the pandemic regarding the current and future infectious risk of a state, county, or community and the effectiveness of social/physical distancing practices in curtailing the spread of the virus. International Registered Report Identifier (IRRID) DERR1-10.2196/24432 
    more » « less
  2. ; ; ; ; ; ; ; ; (, Land)
    The conservation field is experiencing a rapid increase in the amount, variety, and quality of spatial data that can help us understand species movement and landscape connectivity patterns. As interest grows in more dynamic representations of movement potential, modelers are often limited by the capacity of their analytic tools to handle these datasets. Technology developments in software and high-performance computing are rapidly emerging in many fields, but uptake within conservation may lag, as our tools or our choice of computing language can constrain our ability to keep pace. We recently updated Circuitscape, a widely used connectivity analysis tool developed by Brad McRae and Viral Shah, by implementing it in Julia, a high-performance computing language. In this initial re-code (Circuitscape 5.0) and later updates, we improved computational efficiency and parallelism, achieving major speed improvements, and enabling assessments across larger extents or with higher resolution data. Here, we reflect on the benefits to conservation of strengthening collaborations with computer scientists, and extract examples from a collection of 572 Circuitscape applications to illustrate how through a decade of repeated investment in the software, applications have been many, varied, and increasingly dynamic. Beyond empowering continued innovations in dynamic connectivity, we expect that faster run times will play an important role in facilitating co-production of connectivity assessments with stakeholders, increasing the likelihood that connectivity science will be incorporated in land use decisions. 
    more » « less
  3. ; (, The Plant cell)
    Organismal communication entails encoding a message that is sent over space or time to a recipient cell, where that message is decoded to activate a downstream response. Defining what qualifies as a functional signal is essential for understanding intercellular communication. In this review, we delve into what is known and unknown in the field of long-distance messenger RNA (mRNA) movement and draw inspiration from the field of information theory to provide a perspective on what defines a functional signaling molecule. Although numerous studies support the long-distance movement of hundreds to thousands of mRNAs through the plant vascular system, only a small handful of these transcripts have been associated with signaling functions. Deciphering whether mobile mRNAs generally serve a role in plant communication has been challenging, due to our current lack of understanding regarding the factors that influence mRNA mobility. Further insight into unsolved questions regarding the nature of mobile mRNAs could provide an understanding of the signaling potential of these macromolecules. 
    more » « less
  4. (, Proceedings of the Annual SIGCSE Conference on Innovation and Technology in Computer Science Education)
    null (Ed.)
    The necessity and benefits of broadening participation in computing and the roles that computing programs must play in addressing this challenge have been well documented. Elevating the social value of computing has been advocated as an approach to increasing the appeal of computing to both women and other underrepresented groups. This poster adds empirical support for that approach. It reports on the analysis of projects selected by students over four years of a two-semester senior capstone. In this capstone students select Free and Open Source Software (FOSS) communities with which to engage. The students learned about FOSS principles and processes and were introduced to humanitarian FOSS (HFOSS). They completed pre-semester surveys and engaged in a three-stage project selection process. The types of projects that students considered (FOSS or HFOSS) support the assertion that computing with social value is appealing to both females and students in underrepresented groups. Analysis of pre-semester attitude surveys adds additional insight and suggests further avenues for investigation. 
    more » « less
  5. ; ; ; ; ; ; ; (, CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems)
    null (Ed.)
    Dance provides unique opportunities for embodied interdisciplinary learning experiences that can be personally and culturally relevant. danceON is a system that supports learners to leverage their body movement as they engage in artistic practices across data science, computing, and dance. The technology includes a Domain Specific Language (DSL) with declarative syntax and reactive behavior, a media player with pose detection and classification, and a web-based IDE. danceON provides a low-floor allowing users to bind virtual shapes to body positions in under three lines of code, while also enabling complex, dynamic animations that users can design working with conditionals and past position data. We developed danceON to support distance learning and deployed it in two consecutive cohorts of a remote, two-week summer camp for young women of color. We present our findings from an analysis of the experience and the resulting computational performances. The work identifies implications for how design can support learners’ expression across culturally relevant themes and examines challenges from the lens of usability of the computing language and technology. 
    more » « less
  • Citation Formats
  • MLA
  • APA
  • Chicago
  • BibTeX
  • Save / Share this Record
  • Send to Email