Ariful Islam Anik

schoolUniversity of Manitobabar_chart#5044 Global Rank

Total Papers

HCI Rank

#5044

Research Areas

Years Active

Recent Publications

Designing Effective Training Dataset Explanations: The Impact of Information Depth and Progressive Disclosure

Transparency in AI is crucial for fostering user trust and acceptance, yet achieving it through explanations presents significant design challenges, particularly regarding how much detail to provide. For example, in-depth explanations can convey accurate and comprehensive information, but they also risk overwhelming u…

CSCW '253rd AuthorSupporting Youth

The Landscape of Digital Tech Disengagement Solutions for Early Adolescents: Insights from a Systematic Review and App Analysis

The widespread use of digital devices among children and teenagers has raised concerns about overuse, particularly for early adolescents, who have unique developmental needs and engage with technology more frequently than other age groups. A challenge for designers and researchers interested in contributing solutions…

CHI '211st AuthorExplainable AI (XAI) +2

Data-Centric Explanations: Explaining Training Data of Machine Learning Systems to Promote Transparency

Training datasets fundamentally impact the performance of machine learning (ML) systems. Any biases introduced during training (implicit or explicit) are often reflected in the system’s behaviors leading to questions about fairness and loss of trust in the system. Yet, information on training data is rarely communicat…

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