activity
20152022
most citedData@Hand: Fostering Visual Exploration of Personal Data on Smartphones Leveraging Speech and Touch Interaction

59 citations · 209 across the 9 of their papers we have counts for

collaborators

11 papers

cs.HC202238 cited

MyMove: Facilitating Older Adults to Collect In-Situ Activity Labels on a Smartwatch with Speech

Young-Ho Kim, Diana Chou, Bongshin Lee +5

Current activity tracking technologies are largely trained on younger adults' data, which can lead to solutions that are not well-suited for older adults. To build activity tracker…

cs.HC202156 cited

Collecting and Characterizing Natural Language Utterances for Specifying Data Visualizations

Arjun Srinivasan, Nikhila Nyapathy, Bongshin Lee +2

Natural language interfaces (NLIs) for data visualization are becoming increasingly popular both in academic research and in commercial software. Yet, there is a lack of empirical…

cs.HC20214 cited

Investigating Opportunities to Support Kids' Agency and Well-being: A Review of Kids' Wearables

Rachael Zehrung, Lily Huang, Bongshin Lee +1

Wearable devices hold great potential for promoting children's health and well-being. However, research on kids' wearables is sparse and often focuses on their use in the context o…

cs.HC202159 cited

Data@Hand: Fostering Visual Exploration of Personal Data on Smartphones Leveraging Speech and Touch Interaction

Young-Ho Kim, Bongshin Lee, Arjun Srinivasan +1

Most mobile health apps employ data visualization to help people view their health and activity data, but these apps provide limited support for visual data exploration. Furthermor…

cs.HC20212 cited

Learning to Automate Chart Layout Configurations Using Crowdsourced Paired Comparison

Aoyu Wu, Liwenhan Xie, Bongshin Lee +3

We contribute a method to automate parameter configurations for chart layouts by learning from human preferences. Existing charting tools usually determine the layout parameters us…

cs.HC2020

Visualizing information on watch faces: A survey with smartwatch users

Alaul Islam, Anastasia Bezerianos, Bongshin Lee +2

People increasingly wear smartwatches that can track a wide variety of data. However, it is currently unknown which data people consume and how it is visualized. To better ground r…