2 research outputs found
Du Bois Wrapped Bar Chart: Visualizing categorical data with disproportionate values
We propose a visualization technique, Du Bois wrapped bar chart, inspired by
work of W.E.B Du Bois. Du Bois wrapped bar charts enable better large-to-small
bar comparison by wrapping large bars over a certain threshold. We first
present two crowdsourcing experiments comparing wrapped and standard bar charts
to evaluate (1) the benefit of wrapped bars in helping participants identify
and compare values; (2) the characteristics of data most suitable for wrapped
bars. In the first study (n=98) using real-world datasets, we find that wrapped
bar charts lead to higher accuracy in identifying and estimating ratios between
bars. In a follow-up study (n=190) with 13 simulated datasets, we find
participants were consistently more accurate with wrapped bar charts when
certain category values are disproportionate as measured by entropy and
H-spread. Finally, in an in-lab study, we investigate participants' experience
and strategies, leading to guidelines for when and how to use wrapped bar
charts.Comment: 10 pages, 14 figure
Towards Augmented Reality-driven Human-City Interaction: Current Research and Future Challenges
Interaction design for Augmented Reality (AR) is gaining increasing attention
from both academia and industry. This survey discusses 205 articles (75% of
articles published between 2015 - 2019) to review the field of human
interaction in connected cities with emphasis on augmented reality-driven
interaction. We provide an overview of Human-City Interaction and related
technological approaches, followed by a review of the latest trends of
information visualization, constrained interfaces, and embodied interaction for
AR headsets. We highlight under-explored issues in interface design and input
techniques that warrant further research, and conjecture that AR with
complementary Conversational User Interfaces (CUIs) is a key enabler for
ubiquitous interaction with immersive systems in smart cities. Our work helps
researchers understand the current potential and future needs of AR in
Human-City Interaction.Comment: 35 pages, 7 figures, ACM Computing Survey (Under review