Work

Supporting Co-Adaptive Machine Teaching through Human Concept Learning and Cognitive Theories

Year: 2025

Type: conference-paper

Abstract: User iterates on their label definitions 5 3 System generates counter examples that vary in single dimensions The system learns pattern rules 2 User labels generated counterexamples 4

Source: CHI Conference on Human Factors in Computing Systems

DOI: 10.1145/3706598.3713708

Authors: Simret Araya Gebreegziabher, Yukun Yang, Elena L. Glassman, Toby Jia-Jun Li

Institutions: University of Notre Dame, Harvard University

Language: English

Topic: Machine Learning and Algorithms

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: hybrid

Funders: National Science Foundation, Alfred P. Sloan Foundation, Division of Civil, Mechanical and Manufacturing Innovation

Awards: Collaborative Research: SaTC: CORE: Small: Empathy-Based Privacy Education and Design through Synthetic Persona Data Generation, FW-HTF-RM: Bridging AI Inequality in Digitally-Mediated Gig Work, HCC: Medium: Improving Human-AI Collaboration on Decision-Making Tasks, G8342557324, Collaborative Research: FMitF: Track I: Usable Synthesis-based End-User Programming with Rich Interaction Modalities

OpenAlex ID: W4409884484

FWCI: 4.942

Cites: 50

Cited by: 5

Related to: 10