Asim Smailagic

schoolCarnegie Mellon Universitybar_chart#3497 Global Rank

Total Papers

HCI Rank

#3497

Research Areas

Years Active

Recent Publications

Towards Efficient Annotations for a Human-AI Collaborative, Clinical Decision Support System: A Case Study on Physical Stroke Rehabilitation Assessment

Machine learning (ML) algorithms are increasingly being explored to support various decision-making tasks in healthcare (e.g. rehabilitation assessment). However, the development of such ML-based decision support systems is challenging due to the expensive process to collect an annotated dataset. In this paper, we des…

CHI '213rd AuthorAI-Assisted Decision-Making & Automation +1

A Human-AI Collaborative Approach for Clinical Decision Making on Rehabilitation Assessment

Advances in artificial intelligence (AI) have made it increasingly applicable to supplement expert's decision-making in the form of a decision support system on various tasks. For instance, an AI-based system can provide therapists quantitative analysis on patient's status to improve practices of rehabilitation assess…

CSCW '203rd AuthorUX of AI

Co-Design and Evaluation of an Intelligent Decision Support System for Stroke Rehabilitation Assessment

Decision support systems have a potential to improve work flows of experts in practice (e.g. therapist's evidence-based rehabilitation assessment). However, the adoption of these systems is challenging and the gains of these systems have not fully demonstrated yet. In this paper, we identified the needs of therapists…

IUI '193rd AuthorVibrotactile Feedback & Skin Stimulation +2

Learning to Assess the Quality of Stroke Rehabilitation Exercises

Due to the limited number of therapists, task-oriented exercises are often prescribed for post-stroke survivors as in-home rehabilitation. During in-home rehabilitation, a patient may become unmotivated or confused to comply prescriptions without the feedback of a therapist. To address this challenge, this paper propo…

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