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VL/HCC 2022: Rome, Italy
- Paolo Bottoni, Gennaro Costagliola, Michelle Brachman, Mark Minas:

2022 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2022, Rome, Italy, September 12-16, 2022. IEEE 2022, ISBN 978-1-6654-4215-2 - Stephanie Rosenthal, Tingting Rachel Chung:

The Role of Expertise on Insight Generation from Visualization Sequences. 1-10 - Tee Chuanromanee

, Ronald A. Metoyer:
A Crowdsourced Study of Visual Strategies for Mitigating Confirmation Bias. 1-6 - Moshe Mash, Shoshana Oryol, Reid G. Simmons, Stephanie Rosenthal:

Predicting Data Scientist Stuckness During the Development of Machine Learning Classifiers. 1-6 - Randi Williams, Michal Moskal, Peli de Halleux:

ML Blocks: A Block-Based, Graphical User Interface for Creating TinyML Models. 1-5 - Robert Jungnickel

, Aymen Gannouni, Anas Abdelrazeq, Ingrid Isenhardt:
Human-Centric Machine Learning for Temporal Knowledge Graphs: Towards Understanding the European Alternative Fuels Market. 1-5 - Tejal Reddy, Randi Williams, Cynthia Breazeal:

LevelUp - Automatic Assessment of Block-Based Machine Learning Projects for AI Education. 1-8 - Anthony Savidis, Emanuel Agapakis:

Code-Chips: Interactive Syntax in Visual Programming. 1-10 - Marcelo Almeida, Grant Cole, Ke Du

, Gongming Luo, Shulin Pan, Yu Pan, Kai Qiu, Vishnu Reddy, Haochen Zhang, Yingying Zhu, Cyrus Omar:
RustViz: Interactively Visualizing Ownership and Borrowing. 1-10 - Aaron Stockdill, Gem Stapleton, Daniel Raggi, Mateja Jamnik, Grecia Garcia Garcia, Peter C.-H. Cheng:

Examining Experts' Recommendations of Representational Systems for Problem Solving. 1-6 - Rimika Chaudhury, Philip J. Guo, Parmit K. Chilana:

"There's no way to keep up!": Diverse Motivations and Challenges Faced by Informal Learners of ML. 1-11 - Tomas Petricek:

The Gamma: Programmatic Data Exploration for Non-programmers. 1-7 - Henry Crain, Dan Carpenter, Chris Martens:

Evaluating a Casual Procedural Generation Tool for Tabletop Role-Playing Game Maps. 1-6 - Andrew Blinn

, David Moon, Eric Griffis, Cyrus Omar:
An Integrative Human-Centered Architecture for Interactive Programming Assistants. 1-5 - Denae Ford, Nischal Shrestha, Thomas Zimmermann:

ReBOC: Recommending Bespoke Open Source Software Projects to Contributors. 1-5 - Maulishree Pandey, Sharvari Bondre, Sile O'Modhrain, Steve Oney

:
Accessibility of UI Frameworks and Libraries for Programmers with Visual Impairments. 1-10 - David I. Samudio, Thomas D. LaToza:

Barriers in Front-End Web Development. 1-11 - Advait Sarkar, Sruti Srinivasa Ragavan, Jack Williams, Andrew D. Gordon:

End-user encounters with lambda abstraction in spreadsheets: Apollo's bow or Achilles' heel? 1-11 - Jazette Johnson, Andrew Begel, Richard E. Ladner, Denae Ford:

Program-L: Online Help Seeking Behaviors by Blind and Low Vision Programmers. 1-6 - Wengran Wang, Gordon Fraser, Mahesh Bobbadi, Benyamin T. Tabarsi

, Tiffany Barnes
, Chris Martens, Shuyin Jiao, Thomas W. Price:
Pinpoint: A Record, Replay, and Extract System to Support Code Comprehension and Reuse. 1-10 - Justin Middleton, Kathryn T. Stolee

:
Understanding Similar Code through Comparative Comprehension. 1-11 - Jesse Harden, Elizabeth Christman, Nurit Kirshenbaum, John E. Wenskovitch

, Jason Leigh, Chris North:
Exploring Organization of Computational Notebook Cells in 2D Space. 1-6 - Rebecca Krosnick, Steve Oney

:
ParamMacros: Creating UI Automation Leveraging End-User Natural Language Parameterization. 1-10 - Yana Malysheva, John Allen, Caitlin Kelleher:

How Do Teaching Assistants Teach? Characterizing the Interactions Between Students and TAs in a Computer Science Course. 1-9 - Gina R. Bai

, Kai Presler-Marshall, Susan R. Fisk, Kathryn T. Stolee
:
Is Assertion Roulette still a test smell? An experiment from the perspective of testing education. 1-7 - Juan Pablo Sáenz, Luigi De Russis

:
Dear Diary: On Documenting Novices' Development Process. 1-3 - Alessio Mascolini, Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo:

High Resolution Explanation Maps for CNNs using Segmentation Networks. 1-3 - Amit Kumar, Xiaoyi Tian, Mehmet Celepkolu, Maya Israel, Kristy Elizabeth Boyer:

Early Design of a Conversational AI Development Platform for Middle Schoolers. 1-3 - Alexandre Gomes de Siqueira

, Pedro Guillermo Feijóo García
, Stephanie Carnell, Eduardo G. Q. Palmeira
, Andrew Maxim
:
fableBlocks: Toward Mitigating Programming Anxiety with Storytelling-based Tangible Block Programming Environments. 1-4 - Alicia E. Boyd, Jibiana Jakpor, Brittany Johnson:

Quintessence: An Intersectional Reflexivity Tool for Data-Centric Research & Development. 1-4 - David Reis, Filipe F. Correia:

Dockerlive : A live development environment for Dockerfiles. 1-4 - Till Bieg, Mathias Schmoigl-Tonis, Nadine Sturm, Chloé Nativel, Andreas Sackl:

Enabling Cross-Domain Robot Programming By End-Users: The ROBxTASK Platform. 1-3 - Kattiana Constantino

, Eduardo Figueiredo:
CoopFinder: Finding Collaborators Based on Co-Changed Files. 1-3 - Mauricio Verano Merino

, L. Thomas van Binsbergen
, Mazyar Seraj
:
Making the Invisible Visible in Computational Notebooks. 1-3 - Maria Giovanna Albanese, Gennaro Costagliola, Mattia De Rosa, Vittorio Fuccella:

A technique to improve text editing on smartphones. 1-3 - Fei Chen, Philipp Slusallek, Martin Müller, Tim Dahmen:

Chaldene: Towards Visual Programming Image Processing in Jupyter Notebooks. 1-3 - Jacob C. Hart, Jake AuBuchon, Sandeep Kaur Kuttal

:
Feasibility of using YouTube Conversations for Pair Programming Intent Classification. 1-4 - Alexander McAuliffe, Jacob C. Hart, Sandeep Kaur Kuttal

:
Evaluating Gender Bias in Pair Programming Conversations with an Agent. 1-4 - Abim Sedhain, Sruti Srinivasa Ragavan, Brett A. McKinney

, Sandeep Kaur Kuttal
:
Estimating Foraging Values and Costs in Stack Overflow. 1-4 - Abim Sedhain, Sandeep Kaur Kuttal

:
Information Seeking Behavior for Bugs on GitHub: An Information Foraging Perspective. 1-3 - Vaishvi Diwanji, Abim Sedhain, Grey Bodi, Sandeep Kaur Kuttal

:
Developers' Foraging Behavior on Stack Overflow. 1-3 - Paula Pereira, João Paulo Fernandes

, Jácome Cunha
:
Which Technologies are Most Frequently Used by Data Scientists? 1-5 - Randi Williams:

Constructionism, Ethics, and Creativity: Developing Tools for the Future of Education with AI. 1-3 - April Yi Wang:

Improving Real-Time Collaborative Data Science Through Context-Aware Mechanisms. 1-3 - Kim Mönch:

Time-Travel Debugging with Visualization of Data-Structures Based on Instrumentation. 1-3 - Parinaz Tabari:

The Role of Artificial Intelligence in Human-Computer Interaction: Using a Smart Topic Extraction System. 1-3 - Zain Iqbal:

Assurance of Machine Learning/TinyML in Safety-Critical Domains. 1-2 - Yana Malysheva:

Helping TAs Help Students. 1-3 - Lázaro Costa

:
A Platform for the Reproducibility of Computational Experiments. 1-3 - Hugo Da Gião:

A model-driven approach for DevOps. 1-3 - Rebecca Krosnick:

Tools for Creating UI Automation Macros. 1-3

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