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ORCIDVL/HCC 2020: Dunedin, New Zealand
- Michael Homer, Felienne Hermans, Steven L. Tanimoto, Craig Anslow:
IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2020, Dunedin, New Zealand, August 10-14, 2020. IEEE 2020, ISBN 978-1-7281-6901-9 - Hourieh Khalajzadeh
, Andrew J. Simmons, Mohamed Abdelrazek, John Grundy, John G. Hosking, Qiang He:
End-User-Oriented Tool Support for Modeling Data Analytics Requirements. 1-4 - Benjamin Thomas Powley:
Exploring Immersive and Non-Immersive Techniques for Geographic Data Visualization. 1-2 - Paula Pereira:
Towards Helping Data Scientists. 1-2 - Humphrey O. Obie, Caslon Chua, Iman Avazpour, Mohamed Abdelrazek, John Grundy, Tomasz Bednarz:
The Effect of Narration on User Comprehension and Recall of Information Visualisations. 1-4 - Sam Lau, Ian Drosos, Julia M. Markel, Philip J. Guo:
The Design Space of Computational Notebooks: An Analysis of 60 Systems in Academia and Industry. 1-11 - Andreas P. Koenzen, Neil A. Ernst, Margaret-Anne D. Storey:
Code Duplication and Reuse in Jupyter Notebooks. 1-9 - Justin Smith, Christopher Theisen, Titus Barik:
A Case Study of Software Security Red Teams at Microsoft. 1-10 - Ushini Attanayake, Ben Swift, Henry Gardner, Andrew Sorensen:
Disruption and creativity in live coding. 1-5 - Luiz Felipe Dias, Caio Barbosa, Gustavo Pinto, Igor Steinmacher, Baldoino Fonseca, Márcio Ribeiro, Christoph Treude, Daniel Alencar da Costa:
Refactoring from 9 to 5? What and When Employees and Volunteers Contribute to OSS. 1-5 - Adam Tutko:
Designing an Effective User Interface for Analyzing Software Repositories. 1-2 - Krishna Subramanian, Nur Al-huda Hamdan, Jan O. Borchers:
Casual Notebooks and Rigid Scripts: Understanding Data Science Programming. 1-5 - Yan Chen, Jaylin Herskovitz, Walter S. Lasecki, Steve Oney:
Bashon: A Hybrid Crowd-Machine Workflow for Shell Command Synthesis. 1-8 - Amy Isvik, Veronica Cateté, Lauren Alvarez, Nicholas Lytle, Tiffany Barnes:
Exploring Differences Between Student and Teacher Created Snap! Projects. 1-5 - Peter Robe, Sandeep Kaur Kuttal, Yunfeng Zhang, Rachel K. E. Bellamy:
Can Machine Learning Facilitate Remote Pair Programming? Challenges, Insights & Implications. 1-11 - Sangho Suh:
Promoting Meaningful Learning by Supporting Interplay within Abstraction Ladder. 1-2 - Yana Malysheva, Caitlin Kelleher:
Using Bugs in Student Code to Predict Need for Help. 1-6 - Yannis Valsamakis, Anthony Savidis, Emanuel Agapakis, Alexandros Katsarakis:
Collaborative Visual Programming Workspace for Blockly. 1-6 - Jack Williams, Carina Negreanu, Andrew D. Gordon, Advait Sarkar:
Understanding and Inferring Units in Spreadsheets. 1-9 - Brian Hempel, Ravi Chugh:
Tiny Structure Editors for Low, Low Prices! (Generating GUIs from toString Functions). 1-5 - Jampierre Rocha, Jeniffer Lensk, Taís Ferreira, Marcelo Ferreira:
Towards a Tool to Translate Brazilian Sign Language (Libras) to Brazilian Portuguese and Improve Communication with Deaf. 1-4 - Aaron Stockdill, Daniel Raggi, Mateja Jamnik, Grecia Garcia Garcia, Holly E. A. Sutherland, Peter C.-H. Cheng, Advait Sarkar:
Correspondence-based analogies for choosing problem representations. 1-5 - Muriel Shields:
Assessing Cognitive Demand Testing Methods for Voice-Based Infotainment Systems. 1-2 - Yan Chen, Jaylin Herskovitz, Gabriel Matute, April Yi Wang, Sang Won Lee, Walter S. Lasecki, Steve Oney:
EdCode: Towards Personalized Support at Scale for Remote Assistance in CS Education. 1-5 - Andrew Thompson, György Fazekas, Geraint A. Wiggins:
Poster: Programming Practices Among Interactive Audio Software Developers. 1-2 - Sangho Suh, Martinet Lee, Gracie Xia, Edith Law:
Coding Strip: A Pedagogical Tool for Teaching and Learning Programming Concepts through Comics. 1-10 - Aaron Stockdill:
Automating Representation Change Across Domains for Reasoning. 1-2 - Marjan Adeli, Nicholas Nelson, Souti Chattopadhyay, Hayden Coffey, Austin Z. Henley, Anita Sarma:
Supporting Code Comprehension via Annotations: Right Information at the Right Time and Place. 1-10 - John Allen, Caitlin Kelleher:
Poster: Towards Understanding Novice Behaviors and Mental Effort in Code Puzzles. 1-2 - Natt Nuntalid, Dave Richards:
Poster: Machine Learning for Predicting Emergency Medical Incidents that Need an Air-ambulance. 1-2 - Daniel Rough, Benjamin R. Cowan:
Poster: APIs for IPAs? Towards End-User Tailoring of Intelligent Personal Assistants. 1-2 - Marcel Altendeitering, Sonja Schimmler:
Data-Flow Programming for Smart Homes and Other Smart Spaces. 1-4 - Paula Pereira, Jácome Cunha, João Paulo Fernandes:
On Understanding Data Scientists. 1-5 - Ruiqi Shen, Michael Jongseon Lee:
Learners' Perspectives on Learning Programming from Interactive Computer Tutors in a MOOC. 1-5 - Shahed Anzarus Sabab, Md Adnan Alam Khan, Parmit K. Chilana, Joanna McGrenere, Andrea Bunt:
An Automated Approach to Assessing an Application Tutorial's Difficulty. 1-10 - Eric Nersesian:
Impact of Spatial Interface Traversal on Learning. 1-2 - Abdulaziz Alaboudi, Thomas D. LaToza:
Using Hypotheses as a Debugging Aid. 1-9 - Gao Gao, Finn Voichick, Michelle Ichinco, Caitlin Kelleher:
Exploring Programmers' API Learning Processes: Collecting Web Resources as External Memory. 1-10 - Karim Cissé, Aprajit Gandhi, Danielle M. Lottridge, Robert Amor:
User Elicited Hand Gestures for VR-based Navigation of Architectural Designs. 1-5 - Sandeep Kaur Kuttal, Jarow Myers, Sam Gurka, David Magar, David Piorkowski, Rachel K. E. Bellamy:
Towards Designing Conversational Agents for Pair Programming: Accounting for Creativity Strategies and Conversational Styles. 1-11 - Jessica Van Brummelen, Kevin Weng, Phoebe Lin, Catherine Yeo:
CONVO: What does conversational programming need? 1-5 - Abdulaziz Alaboudi:
Helping Developers Find and Share Debugging Hypotheses. 1-2 - Toshiyuki Masui:
No-click browsing of large hierarchical data. 1-5 - Ruiqi Shen:
Interactive Computer Tutors as a Programming Educator: Improving Learners' Experiences. 1-2 - Emad Aghayi:
Large-Scale Microtask Programming. 1-2 - Deacon McIntyre, Michael Homer:
Poster: A Visual Programming Language for Cellular Automata. 1-2 - Alexandra Milliken, Veronica Cateté, Amy Isvik, Tiffany Barnes:
Poster: Designing GradeSnap for Block-Based Code. 1-2 - Emad Aghayi, Aaron Massey, Thomas D. LaToza:
Find Unique Usages: Helping Developers Understand Common Usages. 1-8 - Brandon Scott-Hill, Craig Anslow, Jennifer Ferreira, Martin Kropp, Magdalena Mateescu, Andreas Meier:
Visualizing Progress Tracking for Software Teams on Large Collaborative Touch Displays. 1-5 - Kimia Kiani, Parmit K. Chilana, Andrea Bunt, Tovi Grossman, George W. Fitzmaurice:
"I Would Just Ask Someone": Learning Feature-Rich Design Software in the Modern Workplace. 1-10
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last updated on 2024-09-21 23:26 CEST by the dblp team
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