visualab

Sandra Bae receives ARCS and KASF scholarships

Anonymous — Thu, 09 Sep 2021 00:02:26 +0000

Sandra Bae receives ARCS and KASF scholarships Anonymous (not verified) Wed, 09/08/2021 - 18:02

ATLAS PHD Student Sandra Bae recently received a $6,500 Achievement Reward for College Scientists (ARCS) Scholarship for the 2021-2022 academic year on behalf of CU ��«��Ƶ's College of Engineering & Applied Science. In early August, Bae also received a $2,000 scholarship from the Korean American Scholarship Foundation (KASF).

ARCS^® Foundation is a nationally recognized nonprofit 501(c)(3) organization started and run entirely by women who boost American leadership and aid advancement in science and technology. To address the country's need for new scientists and engineers, it provides unrestricted funding to help the country's brightest graduate and undergraduate students create new knowledge and innovative technologies. KASF is a nonprofit organization established to help meet the financial needs of Korean-American students seeking higher education.

Bae is co-advised by Danielle Szafir and Ellen Do, and she is a member of both the VisuaLab and ACME Lab. She holds a BA in human-computer interactions and an MS in computer science, both from University of California, Davis.

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ATLAS @ CHI 2021

Anonymous — Fri, 14 May 2021 20:19:27 +0000

ATLAS @ CHI 2021 Anonymous (not verified) Fri, 05/14/2021 - 14:19

ATLAS researchers presented 10 published works and one special interest group at the 2021 Human Factors in Computing Conference, the world’s preeminent forum for the field of human-computer interaction. The conference, commonly referred to as CHI, was held virtually May 8-13, 2021.

Researchers affiliated with Danielle Szafir's VisuaLab authored four of the nine ATLAS papers admitted to the conference, two of which received awards, including "Best Paper" and "Honorable Mention." The Unstable Design Lab had two papers accepted, while the THING, Emergent Nanomaterials, Superhuman Computing, and Living Matter labs each had one. An additional paper was co-authored by alumna Andrea DeVore TAM '18, who is not associated with an ATLAS lab.

In all, 2,844 papers were submitted to CHI 2021, 28 of which were selected for the "Best Paper" award and 114 received "Honorable Mention." In 2020, CHI accepted nine ATLAS papers, including four from the Unstable Design Lab and one each from the Superhuman Computing, Living Matter, VisuaLab, ACME and IRON labs.

CHI 2021 papers, position papers and workshops by ATLAS faculty and students

VisuaLab

Understanding Data Accessibility for People with Intellectual and Developmental Disabilities. [Best Paper Award].
Keke Wu (PhD student, ATLAS), Emma Petersen, (CTD MS student, ATLAS), Tahmina Ahmad, (Computer Science BS student), David Burlinson (PhD Computer Science, University of North Carolina), E. S. Tanis (faculty, CU Denver–Anschultz), and Danielle Szafir (faculty, ATLAS/Computer Science)
Researchers conducted a web-based mixed-methods experiment with 34 participants with and without Intellectual and Developmental Disabilities (IDDs) to identify their differences in reading data and summarized the findings into four accessible visualization design guidelines.

Immersive Design Reviews through Situated Qualitative Feedback (workshop paper)
M. Whitlock (PhD student, Computer Science) and Danielle Albers Szafir (faculty, ATLAS/Computer Science)
This paper on Immersive Design Reviews through Situated Qualitative Feedback was accepted to the Evaluating User Experiences in Mixed Reality Workshop at CHI 2021.

VisuaLab Collaborations

Grand Challenges in Immersive Analytics
Danielle Szafir (faculty, ATLAS/Computer Science), Matt Whitlock (PhD student, Computer Science) and 22 other international experts.
A diverse group of 24 international experts developed 17 key research challenges, providing a systematic roadmap of current directions as well as the impending hurdles to facilitating productive and effective applications for Immersive Analytics.

danceON: Culturally Responsive Creative Computing for Data Literacy [Best Paper Honorable Mention]
Willie Payne (BS/MS alumnus Computer Science/Music Composition), Mary West (PhD student, Computer Science), Carlie Charp (CTD BS student, ATLAS), Ben Shapiro (faculty, Computer Science), Edd Taylor (faculty, Education).

Dance provides opportunities for embodied interdisciplinary learning experiences that can be personally and culturally relevant. danceON's system supports learners to leverage their body movement as they engage in artistic practices across data science, computing and dance. It allows 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. 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.

Unstable Design Lab

The Fundamental Uncertainties of Mothering: Finding Ways to Honor Endurance, Struggle, and Contradiction
Laura Devendorf (faculty, ATLAS/Information Science), Laura Kristina Andersen, (faculty, Eindhoven University of Technology/Department of Industrial Design), Aisling Kelliher, (faculty, Virginia Polytechnic Institute and State University/Computer Science).
Parent-focused smart devices and data-tracking platforms frame the responsible parent as one who evaluates, analyzes and mitigates data-defined risks for their children and family. In this article, the researchers turn away from self-improvement narratives to attend to their own experiences as mothers and designers through creating Design Memoirs, speaking directly to the HCI community from their positions as both users and subjects of optimized parenting tools.

Late-breaking work
From The Art of Reflection to The Art of Noticing: A Shifting View of Self-Tracking Technologies’ Role in Supporting Sustainable Food Practices
Janghee Cho, (PhD student, Information Science), Laura Devendorf (faculty, ATLAS/Information Science) and Stephen Voida (faculty, Information Science).
This paper explores using self-tracking technologies that might help people draw attention to the impact of their food practices on the environment and promote sustainable food habits.
Video

Living Matter Lab

Self-deStaining Textiles: Designing Interactive Systems with Fabric, Stains and Light
Fiona Bell, (PhD student, ATLAS), Mirela Alistar (faculty, ATLAS/Computer Science), and Laura Devendorf (faculty, ATLAS/Information Science)
More information
While staining happens unintentionally (e.g., spilling coffee), this paper introduces “destaining” as an intentional design tool that can be used by HCI practitioners and designers alike to selectively degrade stains on textiles in aesthetic ways.

Superhuman Computing Lab

Exploring Technology Design for Students with Vision Impairment in the Classroom and Remotely
Vinitha Gadiraju (PhD student, Computer Science), Olwyn Doyle (BA Computer Science and Political Science '20) and Shaun K. Kane (faculty, ATLAS/Computer Science)
This work explores how classroom technology design can imitate the instructional strategies educators use to teach visually impaired students the academic and behavioral skills outlined by the Expanded Core Curriculum.

THING Lab & Laboratory for Emergent Nanomaterials

Soft Electrohydraulic Actuators for Origami Inspired Shape-Changing Interfaces
Purnendu (PhD student, ATLAS),Eric Acome (Keplinger Research Group), Christoph Keplinger, (faculty, Mechanical Engineering), Mark D. Gross (faculty, ATLAS/Computer Science), Carson Bruns (faculty, ATLAS/Mechanical Engineering) and Daniel Leithinger (faculty, ATLAS/Computer Science).
This work introduces electrohydraulic actuators capable of producing sharp hinge-like bends that can be used to actuate existing objects or fold origami creases.

OTHER

Parental Mediation for Young Children’s Use of Educational Media: A Case Study with Computational Toys and Kits
Junnan Yu (INFO PhD Candidate), Andrea DeVore (ATLAS Undergrad Alumna), Ricarose Roque (INFO Faculty)

Special Interest Group

Microbe-HCI: Introduction and Directions for Growth
Raphael Kim (Queen Mary University), Pat Pataranutaporn (MIT), Jack Forman (MIT), Seung Ah Lee (Yonsei University), Ingmar Riedel-Kruse (University of Arizona), Mirela Alistar (faculty, ATLAS/Computer Science), Eldy S. Lazaro Vasquez (UC Davis), Katia Vega (UC Davis) Roland van Dierendonck (Studio Roland van Dierendonck), Gilad Gome (The Interdisciplinary Center (IDC) Herzliya), Oren Zuckerman (The Interdisciplinary Center (IDC) Herzliya), Angela Vujic (MIT), David Sun Kong (MIT), Pattie Maes (MIT Media Lab), Hiroshi Ishii, (MIT), Misha Sra (UCSB), Stefan Poslad (Queen Mary University).

Microbes bring a distinct set of functional, practical and ethical ramifications in interaction design. This special interest group addresses the various forms that microbial integration in human-computer interaction can take. The sessions are engaging, focused and orientated conversations around microbes acting as agents of interaction.

ATLAS researchers have 10 published works and one special interest group associated with the CHI 2021 conference, the world’s preeminent conference for the field of human-computer interaction. Held virtually, CHI 2021, also known as ACM’s Conference on Human Factors in Computing Systems, took place May 8-13.

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Data accessibility: Leveling the field for those with intellectual and developmental disabilities

Anonymous — Mon, 10 May 2021 21:08:42 +0000

Data accessibility: Leveling the field for those with intellectual and developmental disabilities Anonymous (not verified) Mon, 05/10/2021 - 15:08

[video:https://www.youtube.com/watch?v=nYl0ss1oJAE&feature=emb_imp_woyt]

In a world where decisions of all kinds are based on information derived from large datasets, ensuring people have access to information and understand its implications is more important than ever. The way most statistical information is made accessible is visually using charts and graphs, and the choice of which visualization to use is generally guided by the nature of the data to be communicated. However, research led by ATLAS PhD student Keke Wu finds that for those with intellectual or developmental disabilities (IDD), some kinds of data visualizations are harder to interpret than others.

“Keke's work is really the first in the visualization community to explore the idea of cognitive accessibility,” says Wu’s advisor, Danielle Szafir, an assistant professor of computer science with ATLAS and director of the institute’s VisuaLab. “It was previously an invisible disability to the community; we were completely unaware that common best practices were creating barriers for a large number of people.”

For this pioneering work, Wu and her co-authors earned a Best Paper award from the 2021 ACM CHI Conference on Human Factors in Computing Systems, the premier international conference on Human-Computer Interaction, which took place this week.

Approximately one in six children in the US has one or more developmental disabilities or other developmental delays, according to the Centers for Disease Control and Prevention. People with intellectual and developmental disabilities (IDD) may struggle with abstract thinking and spatial reasoning and, historically, have had limited exposure to mathematical and statistical training at school.

But despite the large number of people with IDD, visualizations such as pie charts and line graphs are typically provided without consideration for the population with whom they wish to communicate. As a result, those with IDD may struggle to make sense of some kinds of visualized data, says Wu.

The project is a collaboration with CU’s Coleman Institute for Cognitive Disabilities, which is particularly interested in how visualizations can support people with IDD in decision-making around financial self-advocacy. In addition to Szafir, Wu's co-authors on the paper include Emma Petersen, who graduated this spring from the ATLAS Creative Technology and Design master’s program; Tahmina Ahmad, an undergraduate majoring in computer science; David Burlinson, a post-doc; and Shae Tanis, co-director of the Coleman Institute and on the faculty of the CU Anschutz Medical Campus.

Data and social equality

At the start of her research, Wu identified three visualization design elements that could improve data accessibility: chart type, chart embellishment and data continuity.

Together, the team conducted a web-based mixed-methods experiment with 34 participants with and without IDD over Zoom. They gave data visualization tests to both populations, measured their test completion times and accuracy, and conducted interviews with the participants about the strategies they use to make sense of data. Wu then summarized the findings into four accessible visualization design guidelines.

The researchers concluded that the best chart type differs for people with and without IDD and that pie charts should be avoided for those with IDD; that discrete data representations, such as using isotype visualizations–where discrete objects are stacked together– instead of bar graphs will lead to more accurate performance for people with IDD; that semantically meaningful chart embellishments (such as using dollar signs with charts with financial information or stick figures to represent people) will enhance data interpretation for people with IDD; and that the visual complexity of the visualization would need to be managed.

Wu says future research will include a remote participatory design workshop “to see through the eyes of people with IDD” so as to better understand how they approach data.

“It’s not just to come up with hypotheses or just do a test with people, but really engage them in this process,” Wu says.

And she says her research may benefit others, even those without IDD. “Data can be intimidating even to people without disabilities. Our project starts with a particular population and has the potential to go to a broader one.”

their Best Paper award, Wu says, “CHI confirmed our vision and the potential broader impact of our work, not just for a particular population, but for social equality.”

An imaginative journey to informatics

Wu’s personal journey to the field of informatics is an interesting one. As a documentary filmmaking student in China, Wu encouraged others to tell their personal stories in front of a camera. Later, as an exchange student in Maryland, she designed an app to encourage a severely depressed friend, using skills learned in a multimedia design class, and then wrote a workshop paper about it.

“I care about people,” says Wu. “And I care about society.”

Realizing that technology could be a gateway to helping others, Wu applied to ATLAS Institute’s MS-Creative Technology and Design (CTD) program to hone her technical and user-centered design skills. Soon after joining ATLAS, she met Danielle Szafir and joined Szafir’s VisuaLab, where Wu pivoted her academic focus to researching how people with IDD perceive data visualizations. She subsequently joined the ATLAS doctoral program.

“When I came to ATLAS, I didn’t have a very heavy technology background,” said Wu, who was also recognized this year as an Adobe Research Fellowship finalist. “This project and Danielle led me to become a researcher.”

In a world where decisions of all kinds are based on statistical information, maximizing access to data is more important than ever. However, a recent study finds that common practices may be cutting large portions of the population out of the picture.

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NSF CAREER award supports Danielle Szafir’s data-visualization research

Anonymous — Wed, 07 Apr 2021 01:49:04 +0000

NSF CAREER award supports Danielle Szafir’s data-visualization research Anonymous (not verified) Tue, 04/06/2021 - 19:49

News about COVID-19 often comes packaged with charts, maps and graphs that help the public understand the state of the pandemic and to justify policies around mask-wearing and social distancing. Such visual representations can succinctly reveal critical information from vast datasets and they are essential for communicating scientific findings to the general public and policymakers.

However, the way data is presented can influence its interpretation. “How data is represented can introduce bias, dramatically changing the conclusions drawn and ultimately affecting policy-making and other important decisions,” says Danielle Szafir, an assistant professor of computer science with the ATLAS Institute. As director of the VisuaLab, Szafir researches what scientists, policymakers and the general public take away from such visualizations and whether their conclusions reflect what the data actually means.

Recognizing the value of this research, the National Science Foundation recently awarded Szafir a CAREER award for a project titled, “Developing Perceptually-Driven Tools for Estimating Visualization Effectiveness.” An NSF CAREER award is one of the most prestigious given to faculty in the early phases of their careers. For Szafir, the grant provides $550,000 over five years to support research and outreach activities.

The award will allow Szafir to fill a gap in data visualization research. Past visualization studies have demonstrated which types of charts perform well for specific tasks, but there isn’t yet a concrete way to rapidly gauge the efficacy of different types of visualizations. Their goal is to offer designers automated solutions for rapidly estimating visualization effectiveness, including revealing what different types of visualizations fail to communicate or communicate incorrectly. By establishing a set of effective visualization design practices that are universally accessible, they will help designers make better choices that minimize misleading data representations and make data exploration more efficient and easier.

Another key goal for the initiative is to develop a curriculum for a Coursera Massive Online Open Course (MOOC) for an online Master of Data Science program to help students from a broad set of fields develop essential data visualization skills.

Befitting an ATLAS research lab, VisuaLab's work is highly interdisciplinary, touching on cognition, perception and the most advanced applications of visual technologies, including virtual reality (VR) and augmented reality (AR). To help connect researchers specializing in these various fields, Szafir cofounded VisXVision, an interdisciplinary initiative aimed at promoting collaboration between data science and cognitive science.

“We have seen an unprecedented increase in public communication using data,” Szafir says. “By offering designers a means to readily understand what patterns people will see in a visualization, we can rapidly improve the ways we use data.”

Commenting on Szafir's research, ATLAS Director Mark Gross says, "It's hard to overstate the potential of Danielle's work. Inventing tools that make it easier to communicate scientific findings can make us all more informed decision-makers."

Szafir’s CAREER award (NSF 2046725) is funded by the NSF’s Directorate for Computer and Information Science and Engineering Faculty Early Career Development Program.

The National Science Foundation has awarded Danielle Szafir a CAREER award to develop tools to rapidly gauge the efficacy of different types of data visualizations.

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ATLAS PhD students take home top student design awards from TEI’21

Anonymous — Tue, 23 Feb 2021 16:59:41 +0000

ATLAS PhD students take home top student design awards from TEI’21 Anonymous (not verified) Tue, 02/23/2021 - 09:59

Sandra Bae

Fiona Bell

Two ATLAS PhD students, Sandra Bae and Fiona Bell, took home top awards from the 15th ACM International Conference on Tangible Embedded and Embodied Interaction (TEI) Student Design Challenge, which ran Feb. 14-19.

Bae, who won the Craft Award for her Cyborg Crafts e-textile swatch entry is co-advised by Assistant Professor Danielle Szafir and Professor Ellen Do, and she is a member of both the institute’s VisuaLab and ACME Lab. Mary Etta West, co-recipient of the Craft Award and a PhD student in computer science who collaborated with Bae on the Cyborg Crafts project, is also a member of the VisuaLab.

Bell, who won the Inspiration Award for her Undyeing Swatch project, is a member of the Living Matter Lab, directed by Assistant Professor Mirela Alistar.

The Undyeing Swatch utilizes a combination of visible Light Emitting Diodes (LEDs) and photocatalytic nanoparticles to diminish the color of organically dyed textiles. As such, this swatch explores ‘undyeing’ as a design process that utilizes light and dye as materials for controlled interaction. When the LEDs are turned on, the light activates the nanoparticles, which in turn break down the organic matter (the dye).

“This swatch provides a proof of concept for the ‘undyeing’ process, which I believe could be an interesting area of future exploration for HCI researchers and artists alike,” Bell said.

Cyborg Crafts blends techniques from the fiber arts with cyborg-inspired technologies (e.g., open-source biosensing EEG headsets and RFID implants). Second SKIN (Soft Keen INteraction), intended to support this practice, is a handmade collection of four modular soft wearable sensors—momentary switch, pressure sensor, pinch sensor, and a gesture-detecting, capacitive touch sensor— and a temperature-dependent dynamic display. Each sensor has a unique outer shell texture based on non-woven textile techniques, and each supports a different sense.

“This swatch was awarded the CRAFT AWARD for its well crafted visual effect which sets it apart from similar skin-like designs. The final sensors are indeed uncanny, yet a notable balance of playfulness offsets the often creepy nature of silicone skin, to make them compelling,” wrote one of the jurors.

Each year TEI invites students to submit physical examples of their craft and to communicate their experiments, expertise and approaches through its Student Design Challenge. The annual call is for the “small solutions that make projects possible.”

Publications
S. Sandra Bae and Mary Etta West. 2021. Cyborg Crafts: Second SKIN (Soft Keen INteraction). In Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction (TEI '21). Association for Computing Machinery, New York, NY, USA, Article 87, 1–3. DOI:https://doi.org/10.1145/3430524.3444705 (Salzburg, Austria (virtual) Feb. 14-19, 2021). [Craft Award]

Fiona Bell. 2021. The Undyeing Swatch. In Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction (TEI '21). Association for Computing Machinery, New York, NY, USA, Article 86, 1–3. DOI:https://doi.org/10.1145/3430524.3444704 (Salzburg, Austria (virtual) Feb. 14-19, 2021). [Inspiration Award]

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Assistant Professor Danielle Szafir explores latest trends in visualization on Data Stories podcast

Anonymous — Mon, 16 Nov 2020 22:51:34 +0000

Assistant Professor Danielle Szafir explores latest trends in visualization on Data Stories podcast Anonymous (not verified) Mon, 11/16/2020 - 15:51

In this Data Stories podcast, ATLAS Assistant Professor Danielle Szafir and Miriah Meyer from University of Utah review the highlights from the IEEE VIS’20 conference, while exploring the latest trends in visualization.

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