Hello!

I am a computer science Ph.D. candidate at Northwestern University. I work in the interdisciplinary Health Aware Bits (HABits) lab located at the preventive medicine department of Northwestern Fienberg School of Medicine and directed by my advisor Prof Nabil Alshurafa

 

 

Research Interest

My research interest is at the intersection of Machine Learning (ML) and Human Computer Interaction (HCI) from which the field of Human-Centered Machine Learning (HCML) is evolving. I am interested in using wearables to understand and develop machine learning models that can detect and categorize human behavior that is representative of people's authentic behavior in their natural habitat. I am also interested in allowing people to design their own personalized machine learning models for wearables to aid in tracking their own behavior.

 

 

Selected Publications​

To mask or not to mask?: Balancing privacy with visual confirmation utility in activity-oriented wearable cameras. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. ACM, 2019.

Rawan Alharbi, Mariam Tolba, Lucia C. Petito, Josiah Hester, Nabil Alshurafa 

I Can’t Be Myself: Effects of Wearable Cameras on the Capture of Authentic Behavior in the Wild.

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. ACM, 2018. 

Rawan Alharbi, Tammy Stump, Nilofar Vafaie, Angela Pfammatter, Bonnie Spring, Nabil Alshurafa

WillSense: Adherence Barriers for Passive Sensing Systems That Track Eating Behavior.

Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems. ACM, 2017. 

Rawan Alharbi, Nilofar Vafaie, Angela Pfammatter, Bonnie Spring, Nabil Alshurafa

Intuito: Opportunistic Tangible Programming by Demonstration for Physical Components.

Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems. ACM, 2017. 

Rawan Alharbi, Nabil Alshurafa, Micheal Horn

 

Food watch: detecting and characterizing eating episodes through feeding gestures.

Proceedings of the 11th EAI International Conference on Body Area Networks, 2016.

Shibo Zhang, Rawan AlharbiWilliam Stogin, Mohamad Pourhomayun, Bonnie Spring, Nabil Alshurafa

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

UbiComp 2018

(8% Acceptance)

UbiComp 2018

(8% Acceptance)

 

CHI 2017

(20% Acceptance)

 

CHI 2017

(20% Acceptance)

 

BodyNets 2016

(35% Acceptance)

 

 

ML + HCI in Health

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