WeQuest: scalable alternate reality games through end-user content authoring. - Andrew Peter Macvean; Sanjeet Hajarnis; Brandon Headrick; Aziel Ferguson; Chinmay Barve; Devika Karnik; Mark O. Riedl (Advances in Computer Entertainment Technology, 2011)

An enjoyment metric for the evaluation of alternate reality games. - Andrew Peter Macvean; Mark O. Riedl (FDG, 2011)

Task-involved versus Ego-Involved: Motivating children to exercise in a pervasive exergame. - Andrew Peter Macvean (PerCom Workshops, 2011)

Evaluating enjoyment within alternate reality games. - Andrew Peter Macvean; Mark O. Riedl (SIGGRAPH Game Papers, 2011)

Developing adaptive exergames for adolescent children. - Andrew Peter Macvean (IDC, 2012)

Embedding technology in the classroom: the train the teacher model. - Judy Robertson; Andrew Peter Macvean; Katherine Howland (IDC, 2012)

iFitQuest: a school based study of a mobile location-aware exergame for adolescents. - Andrew Peter Macvean; Judy Robertson (Mobile HCI, 2012)

Introducing the "Serious Games Mechanics" A Theoretical Framework to Analyse Relationships Between "Game" and"Pedagogical Aspects" of Serious Games. - Neil Suttie; Sandy Louchart; Theodore Lim; Andrew Macvean; Wim Westera; Damian Brown; Damien Djaouti (VS-GAMES, 2012)

Understanding exergame users' physical activity, motivation and behavior over time. - Andrew Peter Macvean; Judy Robertson (CHI, 2013)

Robust evaluation for a maturing field: The train the teacher method. - Judy Robertson; Andrew Macvean; Katy Howland (Int. J. Child Comput. Interact., 2013)

Understanding the exergame user experience: users' motivation, attitude and behaviour in a location-aware pervasive exergame for adolescent children. - Andrew Peter Macvean (2013)

API Design Reviews at Scale. - Andrew Macvean; Martin Maly; John Daughtry (CHI Extended Abstracts, 2016)

API Usability at Scale. - Andrew Macvean; Luke Church; John Daughtry; Craig Citro (PPIG, 2016)

Discovering API Usability Problems at Scale. - Emerson R. Murphy-Hill; Caitlin Sadowski; Andrew Head; John Daughtry; Andrew Macvean; Ciera Jaspan; Collin Winter (WAPI@ICSE, 2018)

API Designers in the Field: Design Practices and Challenges for Creating Usable APIs. - Lauren Murphy; Mary Beth Kery; Oluwatosin Alliyu; Andrew Macvean; Brad A. Myers (VL/HCC, 2018)

Savouring our mistakes: Learning from the FitQuest project. - Judy Robertson; Andrew Peter Macvean; Samantha Fawkner; Graham Baker; Ruth G. Jepson (Int. J. Child Comput. Interact., 2018)

MARBLE: Mining for Boilerplate Code to Identify API Usability Problems. - Daye Nam; Amber Horvath; Andrew Macvean; Brad A. Myers; Bogdan Vasilescu (ASE, 2019)

Accessibility of Command Line Interfaces. - Harini Sampath; M. Alice Merrick; Andrew Macvean (CHI, 2021)

Understanding How Programmers Can Use Annotations on Documentation. - Amber Horvath; Michael Xieyang Liu; River Hendriksen; Connor Shannon; Emma Paterson; Kazi Jawad; Andrew Macvean; Brad A. Myers (CHI, 2022)

Using Annotations for Sensemaking About Code. - Amber Horvath; Brad A. Myers; Andrew Macvean; Imtiaz Rahman (UIST, 2022)

Support for Long-Form Documentation Authoring and Maintenance. - Amber Horvath; Andrew Macvean; Brad A. Myers (VL/HCC, 2023)

In-IDE Generation-based Information Support with a Large Language Model. - Daye Nam; Andrew Macvean; Vincent J. Hellendoorn; Bogdan Vasilescu; Brad A. Myers (CoRR, 2023)

Exploring Documentation Usage via Page-view Log Analysis. - Daye Nam; Andrew Macvean; Brad A. Myers; Bogdan Vasilescu (CoRR, 2023)

AI-Enhanced API Design: A New Paradigm in Usability and Efficiency. - Mak Ahmad; Andrew Macvean; David R. Karger; Kwan-Liu Ma (CHI Extended Abstracts, 2024)

Meta-Manager: A Tool for Collecting and Exploring Meta Information about Code. - Amber Horvath; Andrew Macvean; Brad A. Myers (CHI, 2024)

Understanding Documentation Use Through Log Analysis: A Case Study of Four Cloud Services. - Daye Nam; Andrew Macvean; Brad A. Myers; Bogdan Vasilescu (CHI, 2024)

API Governance at Scale. - Mak Ahmad; J. J. Geewax; Andrew Macvean; David R. Karger; Kwan-Liu Ma (ICSE-SEIP, 2024)

Using an LLM to Help With Code Understanding. - Daye Nam; Andrew Macvean; Vincent J. Hellendoorn; Bogdan Vasilescu; Brad A. Myers (ICSE, 2024)

How much does AI impact development speed? An enterprise-based randomized controlled trial. - Elise Paradis; Kate Grey; Quinn Madison; Daye Nam; Andrew Macvean; Vahid Meimand; Nan Zhang; Benjamin Ferrari-Church; Satish Chandra 001 (CoRR, 2024)

What Do Developers Want From AI? - Sarah D'Angelo; Ambar Murillo; Satish Chandra 001; Andrew Macvean (IEEE Softw., 2024)

Understanding and Designing for Trust in AI-Powered Developer Tooling. - Ambar Murillo; Alberto Elizondo; Sarah D'Angelo; Adam Brown; Ugam Kumar; Quinn Madison; Andrew Macvean (IEEE Softw., 2024)

Creating benchmarkable components to measure the quality of AI-enhanced developer tools. - Elise Paradis; Ambar Murillo; Maulishree Pandey; Sarah D'Angelo; Andrew Macvean; Benjamin Ferrari-Church; Matthew Hughes (CHI Extended Abstracts, 2025)

What do professional software developers need to know to succeed in an age of Artificial Intelligence? - Matthew Kam; Cody Miller; Miaoxin Wang; Abey Tidwell; Irene A. Lee; Joyce Malyn-Smith; Beatriz Perret; Vikram Tiwari; Joshua Kenitzer; Andrew Macvean; Erin Barrar (SIGSOFT FSE Companion, 2025)

Creating benchmarkable components to measure the quality ofAI-enhanced developer tools. - Elise Paradis; Ambar Murillo; Maulishree Pandey; Sarah D'Angelo; Matthew Hughes; Andrew Macvean; Benjamin Ferrari-Church (CoRR, 2025)

What do professional software developers need to know to succeed in an age of Artificial Intelligence? - Matthew Kam; Cody Miller; Miaoxin Wang; Abey Tidwell; Irene A. Lee; Joyce Malyn-Smith; Beatriz Perez; Vikram Tiwari; Joshua Kenitzer; Andrew Macvean; Erin Barrar (CoRR, 2025)