How data visualization designers frame problems and come up with solutions
Ongoing study ... (NSF Sponsored)
Utilizing a multi-method approach that encompasses design probes, diary studies, and semi-structured interviews with both expert and novice practitioners, we aim to comprehend how they navigate challenging situations in their design work.
#interview
#diaryStudy
#probes
Uncovering Challenges Faced by Design Practitioners: Insights from Surveys and Subreddit Analysis
DRS 2024 - Submitted for review
We surveyed 75 design practitioners and analyzed r/userexperience and r/UXdesign subreddits to uncover common challenges in their daily work. Our findings reveal that in addition to grappling with ill-structured problems, designers frequently contend with issues related to misaligned expectations, communication breakdowns, burnout, and ethical and moral dilemmas.
#survey
#socialMedia
Fixation and Creativity in Data Visualization Design: Experiences and Perspectives of Practitioners
IEEE Vis 2021 - Short paper
Conducted semi-structured interviews with 15 data visualization practitioners. Presented experiences and perspectives from their own design practice, specifically focusing on their views of (i) the nature of fixation, (ii) factors encouraging fixation, and (iii) factors discouraging fixation.
#interview
#thematicAnalysis
Fostering Judgment Skills: Graduate UX Design Student Views
Edu CHI 2023
Conducted semi-structured interviews with 11 design graduate students. Their reflections shed light on pedagogical elements crucial to framing ability development, emphasizing its impact on design processes and personal design philosophies.
#interview
#thematicAnalysis
Datamining project for CDC
Purdue Journal of Service-Learning and International Engagement - 2023
Working with the CDC, we analyzed the dailymed dataset on OTC liquid medicines for children. Due to misinterpretations and incorrect dosing devices, over 75,000 emergency visits occur annually. Despite CDC guidelines, many pharmaceutical firms haven't adopted them. We processed the dataset, highlighting inconsistencies, converted the data from JSON to CSV using Python, and presented our insights at the CDC’s PROTECT conference.
#dataMine
#python
Assumptions of Visualization Designers: Communication Pitfalls
IEEE Vis 2023 - VisComm Workshop
Analyzed Twitter threads to understand how hidden assumptions in visualization design that can cause confusion. Our paper suggests strategies for designers to raise awareness about these assumptions, offering valuable insights for practitioners and future research to improve visualization communication.
#socialMediaAnalysis
#python
Negotiating visualization minimalism- a preliminary analysis of Twitter conversations
IEEE Vis 2022 - VisComm Workshop
Investigated conversations on Twitter regarding visualization minimalism, focusing on the ways in which design knowledge is negotiated. Our findings suggest that thereis a vibrant community of practice engaged in deliberations on topics relating to visualization minimalism.
#socialMediaAnalysis
#python
Data visualization practitioners’ perspectives on chartjunk
IEEE Vis 2020 - Short paper
Conducted semi-structured interviews with 20 data-vis practitioners, investigating how they understand chartjunk and the factors that influence how and when they make use of embellishments. Found variety of personal and situated factors that influence the use of chartjunk beyond context.
#interview
#dovetail
