VL/HCC 2020 (series) / Research Papers / Visualizing Progress Tracking for Software Teams on Large Collaborative Touch Displays
Visualizing Progress Tracking for Software Teams on Large Collaborative Touch DisplaysShort paper
Keeping track of the progress on software projects can be difficult and time consuming. Progress tracking requires developers to track progress by hand or digitally neither of which have good support for collaborative team processes. In this paper we present DashVis a tool to help support teams to track progress more effectively using large touch displays and visualization techniques. We conducted a study and found the visualizations to be very effective in supporting teams to gain a more accurate way of keeping track of progress. With large touch displays becoming ubiquitous in the work place and the demand for software teams to understand their progress more effectively there is a need for tools like DashVis.
DashVis (vlhcc2020-dashvis-public.pdf) | 8.52MiB |
Thu 13 AugDisplayed time zone: Pacific Time (US & Canada) change
Thu 13 Aug
Displayed time zone: Pacific Time (US & Canada) change
06:15 - 06:45 | Support for CollaborationResearch Papers at Zoom Room Chair(s): Daniel Rough University College Dublin | ||
06:15 7mTalk | Visualizing Progress Tracking for Software Teams on Large Collaborative Touch DisplaysShort paper Research Papers Brandon Scott-Hill Victoria University of Wellington, Craig Anslow Victoria University of Wellington, Martin Kropp University of Applied Sciences Northwestern Switzerland, Magdalena Mateescu University of Applied Sciences Northwestern Switzerland, Andreas Meier Zurich University of Applied Sciences, Jennifer Ferreira Victoria University of Wellington Authorizer link File Attached | ||
06:23 7mTalk | Collaborative Visual Programming Workspace for BlocklyShort paper Research Papers Yannis Valsamakis Institute of Computer Science (FORTH), Anthony Savidis Institute of Computer Science (FORTH) and University of Crete, Manos Agapakis University of Crete, Alex Katsarakis University of Crete Authorizer link | ||
06:30 15mTalk | Bashon: A Hybrid Crowd-Machine Workflow for Shell Command SynthesisFull paper Research Papers Yan Chen University of Michigan, Jaylin Herskovitz University of Michigan, Walter Lasecki University of Michigan, Steve Oney University of Michigan Authorizer link |