activity
20242026
most citedA Machine Learning Approach for Predicting Upper Limb Motion Intentions with Multimodal Data in Virtual Reality

2 citations · 3 across the 9 of their papers we have counts for

collaborators

9 papers

cs.HC2026

Reading the Eyes in VR: Multimodal Modeling of Social Intelligence

Mohammad Fahim Abrar, Shayla Sharmin, Roghayeh Leila Barmaki

Social intelligence, the ability to interpret others' emotions, beliefs, and intentions, is often assessed with the Reading the Mind in the Eyes Test (RMET), in which participants…

cs.HC2026

When LLM Tutoring Responses Work: Evidence from Student Programming Conversations

Mohammad Fahim Abrar, Shayla Sharmin, Roghayeh Leila Barmaki

As students increasingly use LLM tutors in computer science education, one question becomes especially important: what kind of response helps a student continue productively? Prior…

cs.HC2026

Indirect and Direct AI Scaffolding for Computational Problem Posing: A Pilot Experience Report

Shayla Sharmin, Mohammad Fahim Abrar, Mohammad Al-Ratrout +1

Problem posing is a valuable learning activity in computing education, encouraging learners to actively construct, refine, and reflect on problems rather than simply solving them.…

cs.HC2026

Micro-level AI Feedback Features and Student Responses in Consecutive LLM Tutoring Interactions

Shayla Sharmin, Mohammad Fahim Abrar, Roghayeh Leila Barmaki

AI-assisted feedback research has shown that micro-level feedback features, such as concrete elaboration, affective language, and response length, are associated with learning outc…

cs.HC2026

How YouTube Frames ChatGPT Use in Education: An Epistemic Network Analysis with Supporting Multimodal Metadata

Shayla Sharmin, Mohammad Al-Ratrout, Mohammad Fahim Abrar +1

We examine educational YouTube videos through multimodal metadata, such as transcripts, titles, thumbnails, and viewer comments, to investigate how ChatGPT is framed across creator…

cs.HC2026

Feedback Effects on Cognitive Dynamics: Network-Based Insights from EEG Patterns and Behavioral Performance

Behdokht Kiafar, Mohammad Fahim Abrar, Roghayeh Leila Barmaki

This study examines the impact of feedback on Electroencephalography (EEG) activity and performance during the Reading the Mind in the Eyes Test. In a within-subject design, eleven…

cs.HC2025

Beyond Cognitive Load: AI-Based Estimation of Cognitive Effort Using Brain Signals During Digital Tasks

Shayla Sharmin, Mohammad Fahim Abrar, Gael Lucero-Palacios +2

Cognitive effort, defined as the relationship between cognitive load and task performance, provides insight into how individuals allocate mental resources during demanding tasks. T…

cs.HC2024★ 1 cited

Neurophysiological Insights into Multimedia-based Education: A PRISMA-ScR Review of fNIRS in Game-Integrated Learning Systems

Shayla Sharmin, Gael Lucero-Palacios, Behdokht Kiafar +4

Game-integrated learning systems (GILS) are a growing form of multimedia education. Neurophysiological evidence can complement behavioral and learning measures when examining how u…

cs.HC2024★ 2 cited

A Machine Learning Approach for Predicting Upper Limb Motion Intentions with Multimodal Data in Virtual Reality

Pavan Uttej Ravva, Pinar Kullu, Mohammad Fahim Abrar +1

Over the last decade, there has been significant progress in the field of interactive virtual rehabilitation. Physical therapy (PT) stands as a highly effective approach for enhanc…