1 citations · 1 across the 5 of their papers we have counts for
5 papers · 1 filter
Co-Writing with AI: An Empirical Study of Diverse Academic Writing Workflows
Silvia Bodei, Duncan P. Brumby, Katie Fisher +1
Despite AI tools becoming increasingly embedded in academic practice, little is known about how university students integrate them into their writing processes. We examine how stud…
What happens when reviewers receive AI feedback in their reviews?
Shiping Chen, Shu Zhong, Duncan P. Brumby +1
AI is reshaping academic research, yet its role in peer review remains polarising and contentious. Advocates see its potential to reduce reviewer burden and improve quality, while…
"If You're Very Clever, No One Knows You've Used It": The Social Dynamics of Developing Generative AI Literacy in the Workplace
Qing Nancy Xia, Marios Constantinides, Advait Sarkar +2
Generative AI (GenAI) tools are rapidly transforming knowledge work, making AI literacy a critical priority for organizations. However, research on AI literacy lacks empirical insi…
"How do you even know that stuff?": Barriers to expertise sharing among spreadsheet users
Qing Nancy Xia, Advait Sarkar, Duncan Brumby +1
Spreadsheet collaboration provides valuable opportunities for learning and expertise sharing between colleagues. Sharing expertise is essential for the retention of important techn…
The Paradox of Spreadsheet Self-Efficacy: Social Incentives for Informal Knowledge Sharing in End-User Programming
Qing Nancy Xia, Advait Sarkar, Duncan P. Brumby +1
Informal Knowledge Sharing (KS) is vital for end-user programmers to gain expertise. To better understand how personal (self-efficacy), social (reputational gains, trust between co…