most citedUnderstanding Human-AI Trust in Education

19 citations · 40 across the 16 of their papers we have counts for

collaborators
Showing cs.HCShow all

5 papers · 1 filter

cs.HC2026

Personalized Worked Example Generation from Student Code Submissions Using Pattern-based Knowledge Components

Griffin Pitts, Muntasir Hoq, Peter Brusilovsky +4

Adaptive programming practice often relies on fixed libraries of worked examples and practice problems, which require substantial authoring effort and may not correspond well to th…

cs.HC2026★ 1 cited

Trust and Reliance on AI in Education: AI Literacy and Need for Cognition as Moderators

Griffin Pitts, Neha Rani, Weedguet Mildort

As generative AI systems are integrated into educational settings, students often encounter AI-generated output while working through learning tasks, either by requesting help or t…

cs.HC2026

What Drives Students' Use of AI Chatbots? Technology Acceptance in Conversational AI

Griffin Pitts, Sanaz Motamedi

Conversational AI tools have been rapidly adopted by students and are becoming part of their learning routines. This widespread use comes amid ongoing concerns about the reliabilit…

cs.HC2025

Human-Centered Design for Connected Automation: Predicting Pedestrian Crossing Intentions

Sanaz Motamedi, Viktoria Marcus, Griffin Pitts

More than half of the 1.19 million annual traffic fatalities globally involve vulnerable road users, such as pedestrians, with a significant proportion attributable to human error.…

cs.HC2025

Impact of eHMI on Pedestrians' Interactions with Level-5 Automated Driving Systems

Viktoria Marcus, Griffin Pitts, Sanaz Motamedi

Each year, over half of global traffic fatalities involve vulnerable road users (e.g. pedestrians), often due to human error. Level-5 automated driving systems (ADSs) could reduce…