Elena L. Glassman
Scholar

Elena L. Glassman

Google Scholar ID: C_r8d0AAAAAJ
Harvard University
Human-computer interactionhuman-AI interaction
Citations & Impact
All-time
Citations
3,370
 
H-index
28
 
i10-index
42
 
Publications
20
 
Co-authors
92
list available
Resume (English only)
Academic Achievements
  • Published multiple papers at top-tier venues including CHI, UIST, DIS, and ICML
  • Two CHI'25 papers awarded Best Paper: 'Supporting Co-Adaptive Machine Teaching...' and 'Creative Writers’ Attitudes on Writing as Training Data...'
  • Multiple CHI'24 papers received Honorable Mentions, including works on LLM sensemaking and ChainForge
  • CHI'24 paper 'DynaVis' received Best Paper Award
  • Developed ChainForge (chainforge.ai), an open-source visual toolkit for prompt engineering and LLM hypothesis testing
  • Proposed novel interaction techniques like AI-resilient text rendering, with pre-prints and open-source implementations
Background
  • Faculty at the John A. Paulson School of Engineering & Applied Sciences (SEAS), Harvard University
  • Leads The Variation Lab, focusing on augmenting human intelligence with variation
  • Research centers on AI-resilient interfaces that help users cope with AI errors, inappropriate outputs, or misaligned suggestions
  • Targets open-ended, context- and preference-heavy tasks such as ideation, search, sensemaking, and large-scale reading/writing of text and code
  • Derives design principles from cognitive science, even when they contradict conventional usability guidelines
  • Cultivates a vibrant, supportive research community including undergraduates, master's students, PhDs, postdocs, and collaborators