Will Brackenbury
University of Chicago
7 Papers
5 Citations
Will Brackenbury is an academic researcher from University of Chicago. The author has contributed to research in topics: Computer science & Tuple. The author has an hindex of 2, co-authored 5 publications.
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Papers
How Users Interpret Bugs in Trigger-Action Programming
Will Brackenbury,Abhimanyu Deora,Jillian Ritchey,Jason Vallee,Weijia He,Guan Wang,Michael L. Littman,Blase Ur +7 more
- 02 May 2019
TL;DR: This work systematizes the temporal paradigms through which TAP systems could express rules and identifies ten classes of TAP programming bugs related to control flow, timing, and inaccurate user expectations, and suggests directions for better supporting end-user programmers.
76
Files of a Feather Flock Together? Measuring and Modeling How Users Perceive File Similarity in Cloud Storage
Will Brackenbury,Galen Harrison,Kyle Chard,Aaron J. Elmore,Blase Ur +4 more
- 11 Jul 2021
TL;DR: This paper conducted an online study combining automated analysis of 50 Google Drive and Dropbox users' cloud accounts with a survey asking about pairs of files from those accounts, finding that many files located in different parts of file hierarchies were similar in how they were perceived by participants, as well as in their algorithmically extractable features.
5
Explaining Why: How Instructions and User Interfaces Impact Annotator Rationales When Labeling Text Data
Jamar L. Sullivan,Will Brackenbury,Andrew McNut,Kevin Bryson,Kwam Byll,Yuxin Chen,Michael L. Littman,Chenhao Tan,Blase Ur +8 more
- 01 Jan 2022
TL;DR: A 332-participant online user study to understand how humans select rationales, especially how different instructions and user interface affordances impact the rationales chosen.
3
KondoCloud: Improving Information Management in Cloud Storage via Recommendations Based on File Similarity
Will Brackenbury,Andrew McNutt,Kyle Chard,Aaron J. Elmore,Blase Ur +4 more
- 10 Oct 2021
TL;DR: KondoCloud as mentioned in this paper is a file-browser interface for personal cloud storage that makes machine learning-based recommendations of files users may want to retrieve, move, or delete, leveraging the intuition that similar files should be managed similarly.
3
CYADB: a database that covers your ask
Zechao Shang,Will Brackenbury,Aaron J. Elmore,Michael J. Franklin +3 more
- 01 Aug 2018
TL;DR: CYADB is a human-in-the-loop system, in which the data owner utilizes his or her domain knowledge of data to specify aspects of the missing data, such as where it might be missing, how many data points are missing, and how large theMissing data points could be in comparison to the provided data (“how big”).