A Computational Framework for Modeling Biobehavioral Rhythms from Mobile and Wearable Data Streams [PDF]

Runze Yan, Xinwen Liu, Janine Dutcher, Michael Tumminia, Daniella Villalba, Sheldon Cohen, David Creswell, Kasey Creswell, Jennifer Mankoff, Anind Dey, Afsaneh Doryab

ACM Transactions on Intelligent Systems and Technology (TIST), 2022

Exploratory Machine Learning Modeling of Adaptive and Maladaptive Personality Traits from Passively Sensed Behavior [PDF]

Runze Yan, Whitney R Ringwald, Julio Vega, Madeline Kehl, Sang Won Bae, Anind K Dey, Carissa A Low, Aidan GC Wright, Afsaneh Doryab

Future Generation Computer Systems, 2022

System, Method and Computer Readable Medium for Modeling Biobehavioral Rhythms from Mobile and Wearable Data Streams [PDF]

Afsaneh Doryab, Runze Yan, Xinwen Liu

U.S. Patent Office, 2022

Daily Trajectory Prediction Using Temporal Frequent Pattern Tree [PDF]

Mingyi Cai, Runze Yan, Afsaneh Doryab

Proceedings of Sixth International Congress on Information and Communication Technology, 2022

Critical Thinking of Mobile Sensing for Health [PDF]

Afsaneh Doryab

XRDS: Crossroads, The ACM Magazine for Students, Spetember 2021

Wild by Design: Workshop on Designing Ubiquitous Health Monitoring Technologies for Challenging Environments [PDF]

Diogo Branco, Patrick Carrington, Silvia Del Din, Afsaneh Doryab, Hristijan Gjoreski, Tiago Guerreiro, Roisin McNaney, Kyle Montague, Alisha Pradhan, André Rodrigues, Julio Vega

Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing, September 2021

Towards a Computational Framework for Automated Discovery and Modeling of Biological Rhythms from Wearable Data Streams [PDF]

Runze Yan, Afsaneh Doryab

Proceedings of SAI Intelligent Systems Conference. Springer, Cham, 2021

Machine Learning Modeling of Adaptive and Maladaptive Personality Traits from Passively Sensed Behavior [PDF]

Runze Yan, Whitney R. Ringwald, Julio Vega Hernandez, Madeline Kehl, Sang Won Bae, Anind K. Dey, Carissa Low, Aidan G.C. Wright, Afsaneh Doryab

PsyArXiv July 2021

Digital Biomarkers of Perioperative Patient-Reported Symptom Burden in Pancreatic Surgery Patients [PDF]

Carissa A Low, Meng Li, Julio Vega, Krina C Durica, Denzil Ferreira, Vernissia Tam, Melissa Hogg, Herbert Zeh, Afsaneh Doryab, Anind K Dey

JMIR 2021

Detection of Racial Bias from Physiological Responses [PDF]

Fateme Nikseresht, Runze Yan, Rachel Lew, Yingzheng Liu, Rose M. Sebastian, Afsaneh Doryab

International Conference on Applied Human Factors and Ergonomics, 2021

An Automated Machine Learning Pipeline for Monitoring and Forecasting Mobile Health Data [PDF]

Anna Bonaquist, Meredith Grehan, Owen Haines, Joseph Keogh, Tahsin Mullick, Neil Singh, Sam Shaaban, Ana Radovic, Afsaneh Doryab

2021 Systems and Information Engineering Design Symposium (SIEDS)

Understanding Health and Behavioral Trends of Successful Students through Machine Learning Models [PDF]

Abigale Kium, Fateme Nikseresht, Janine M. Dutcher, Michael Tumminia, Daniella Villalba, Sheldon Cohen, Kasey Creswell, Anind K. Dey, Jennifer Mankoff, Afsaneh Doryab

International Conference on Human Interaction and Emerging Technologies, 2021

Leveraging Collaborative-Filtering for Personalized Behavior Modeling: A Case Study of Depression Detection among College Students [PDF]

Xhau Xu, Prerna Chikersal, Janine M. Dutcher, Yasaman S. Sefidgar, Woosuk Seo, Michael J. Tumminia, Daniella K. Villalba, Sheldon Cohen, Kasey G. Creswell, J. David Creswell, Afsaneh Doryab, Paula S. Nurius, Eve Riskin, Anind K. Dey, Jennifer Mankoff

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2021

Adaptive Humanoid Robots for Pain Management in Children [PDF]

Sudhir Shenoy, Yueyue Hou, Xinran Wang, Fateme Nikseresht, Afsaneh Doryab

Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction

Detecting depression and predicting its onset using longitudinal symptoms captured by passive sensing: a machine learning approach with robust feature selection [PDF]

Prerna Chikersal, Afsaneh Doryab, Michael Tumminia, Daniella K Villalba, Janine M Dutcher, Xinwen Liu, Sheldon Cohen, Kasey G Creswell, Jennifer Mankoff, J David Creswell, Mayank Goel, Anind K Dey

ACM Transactions on Computer-Human Interaction (TOCHI), 2021

Prediction of Hospital Readmission from Longitudinal Mobile Data Streams [PDF]

Chen Qian, Patraporn Leelaprachakul, Matthew Landers, Carissa Low, Anind K Dey, Afsaneh Doryab

Sensors 2021

Can Smartphone Co-locations Detect Friendship? It Depends on How You Model It [PDF]

Momin M. Malik, Afsaneh Doryab, Michael Merrill, Jurgen Pfeffer, Anind K Dey

arXiv preprint arXiv:2008.02919, July 2020

A Deep Learning Framework for Prediction of Readmission Risk After Cancer Surgery From Mobile Data Streams [PDF]

Afsaneh Doryab

Proceedings of Deep Learning for Wellbeing Applications Leveraging Mobile Devices and Edge Computing, June 2020

Modeling Biological Rhythms to Predict Mental and Physical Readiness [PDF]

Ben Carper, Dillon McGowan, Samantha Miller, Joe Nelson, Leah Palombi, Lina Romeo, Kayla Spigelman, Afsaneh Doryab 

2020 Systems and Information Engineering Design Symposium (SIEDS), April 2020

CoRhythMo: A Computational Framework for Modeling Biobehavioral Rhythms from Mobile and Wearable Data Streams [PDF]

Runze Yan, Xinwen Liu, Janine Dutcher, Michael Tumminia, Daniella Villalba, Sheldon Cohen, David Creswell, Kasey Creswell, Jennifer Mankoff, Anind Dey, Afsaneh Doryab 

bioRxiv, Jan 2020

A Robot’s Expressive Language Affects Human Strategy and Perceptions in a Competitive Game [PDF]

Aaron M Roth, Samantha Reig, Umang Bhatt, Jonathan Shulgach, Tamara Amin, Afsaneh Doryab, Fei Fang, Manuela Veloso 

2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Oct 2019

Leveraging Routine Behavior and Contextually-Filtered Features for Depression Detection among College Students [PDF]

Xuhai Xu, Prerna Chikersal, Afsaneh Doryab, Daniella K Villalba, Janine M Dutcher, Michael J Tumminia, Tim Althoff, Sheldon Cohen, Kasey G Creswell, J David Creswell, Jennifer Mankoff, Anind K Dey 

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Sept 2019

Identifying Behavioral Phenotypes of Loneliness and Social Isolation with Passive Sensing: Statistical Analysis, Data Mining and Machine Learning of Smartphone and Fitbit Data [PDF]

Afsaneh Doryab, Daniella K Villalba, Prerna Chikersal, Janine M Dutcher, Michael Tumminia, Xinwen Liu, Sheldon Cohen, Kasey Creswell, Jennifer Mankoff, John D Creswell, Anind K Dey 

JMIR mHealth and uHealth, July 2019

Context-Aware Coproduction: Implications for Recommendation Algorithms [PDF]

Jiawei Chen, Afsaneh Doryab, Benjamin V Hanrahan, Alaaeddine Yousfi, Jordan Beck, Xiying Wang, Victoria Bellotti, Anind K Dey, John M Carroll 

International Conference on Information, March 2019

Modeling Biobehavioral Rhythms with Passive Sensing in the Wild: A Case Study to Predict Readmission Risk after Pancreatic Surgery [PDF]

Afsaneh Doryab, Anind K Dey, Grace Kao, Carissa Low 

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, March 2019

Extraction of Behavioral Features from Smartphone and Wearable Data [PDF]

Afsaneh Doryab, Prerna Chikarsel, Xinwen Liu, Anind K Dey 

arXiv preprint arXiv:1812.10394, Dec 2018

The Impact of Humanoid Affect Expression on Human Behavior in a Game-Theoretic Setting [PDF]

Aaron M Roth, Umang Bhatt, Tamara Amin, Afsaneh Doryab, Fei Fang, Manuela Veloso 

arXiv preprint arXiv:1806.03671, June 2018

Identifying Symptoms Using Technology [PDF]

Afsaneh Doryab 

Technology and Adolescent Mental Health, March 2018

If It’s Convenient: Leveraging Context in Peer-to-Peer Variable Service Transaction Recommendations [PDF]

Afsaneh Doryab, Victoria Bellotti, Alaaeddine Yousfi, Shuobi Wu, John M Carroll, Anind K Dey 

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Sept 2017

Estimation of Symptom Severity During Chemotherapy from Passively Sensed Data: Exploratory Study [PDF]

Afsaneh Doryab, Victoria Bellotti, Alaaeddine Yousfi, Shuobi Wu, John M Carroll, Anind K Dey

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Sept 2017

Solving the Battle of First-Authorship: Using Interactive Technology to Highlight Contributions [PDF]

AC BD, Christine Bauer, Afsaneh Doryab 

Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, May 2016

'MASTerful'Matchmaking in Service Transactions: Inferred Abilities, Needs and Interests versus Activity Histories [PDF]

Hyunggu Jung, Victoria Bellotti, Afsaneh Doryab, Dean Leitersdorf, Jiawei Chen, Benjamin V Hanrahan, Sooyeon Lee, Dan Turner, Anind K Dey, John M Carroll 

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, May 2016

Modeling Transit Patterns Via Mobile App Logs [PDF]

Anthony Tomasic, Aaron Steinfeld, John Zimmerman, Afsaneh Doryab 

University Transportation Centers Program (US) 

Impact Factor Analysis: Combining Prediction With Parameter Ranking to Reveal the Impact of Behavior on Health Outcome [PDF]

Afsaneh Doryab, Mads Frost, Maria Faurholt-Jepsen, Lars V Kessing, Jakob E Bardram 

Personal and Ubiquitous Computing, July 2015

Can Your Smartphone Reveal If You Are Depressed? [PDF]

Afsaneh Doryab, Jun Ki Min, Jason Wiese, John Zimmerman, Jason Hong 

KDD 2014 Workshop on Connected Health at Big Data Era, July 2014

Detection of Behavior Change in People with Depression [PDF]

Afsaneh Doryab, Jun Ki Min, Jason Wiese, John Zimmerman, Jason Hong 

Modern Artificial Intelligence for Health Analytics Workshop at the Twenty-Eighth AAAI Conference on Artificial Intelligence, June 2014

BeWell: Sensing Sleep, Physical Activities and Social Interactions to Promote Wellbeing [PDF]

Nicholas D Lane, Mu Lin, Mashfiqui Mohammod, Xiaochao Yang, Hong Lu, Giuseppe Cardone, Shahid Ali, Afsaneh Doryab, Ethan Berke, Andrew T Campbell, Tanzeem Choudhury

Mobile Networks and Applications, June 2014

Toss'N'Turn: Smartphone as Sleep and Sleep Quality Detector [PDF]

Jun-Ki Min, Afsaneh Doryab, Jason Wiese, Shahriyar Amini, John Zimmerman, Jason I Hong 

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, April 2014

Supporting Disease Insight Through Data Analysis: Refinements of the MONARCA Self-Assessment System [PDF]

Mads Frost, Afsaneh Doryab, Maria Faurholt-Jepsen, Lars Vedel Kessing, Jakob E Bardram 

Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Sept 2013

Disease Insights Through Analysis: Using Machine Learning to Provide Feedback in the MONARCA System [PDF]

Mads Frost, Afsaneh Doryab, Jakob E Bardram 

Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare, May 2013

BeWell+ Multi-dimensional Wellbeing Monitoring with Community-guided User Feedback and Energy Optimization [PDF]

Mu Lin, Nicholas D Lane, Mashfiqui Mohammod, Xiaochao Yang, Hong Lu, Giuseppe Cardone, Shahid Ali, Afsaneh Doryab, Ethan Berke, Andrew T Campbell, Tanzeem Choudhury 

Proceedings of the Conference on Wireless Health, Oct 2012

Activity Recognition in Collaborative Environments

Afsaneh Doryab, Julian Togelius 

The 2012 International Joint Conference on Neural Networks (IJCNN), June 2012

Activity-Aware Recommendation for Collaborative Work in Operating Rooms [PDF]

Afsaneh Doryab, Julian Togelius, Jakob Bardram 

Proceedings of the 2012 ACM International Conference on Intelligent User Interfaces, Feb 2012

Context- and Activity-awareness in Collaborative Environments [PDF]

Afsaneh Doryab, Jakob Bardram 

Proceedings of the 2011 International Qorkshop on Situation Activity & Goal Awareness, Sept 2011 

Bewell: A Smartphone Application to Monitor, Model and Promote Wellbeing [PDF]

Nicholas D Lane, Mashfiqui Mohammod, Mu Lin, Xiaochao Yang, Hong Lu, Shahid Ali, Afsaneh Doryab, Ethan Berke, Tanzeem Choudhury, Andrew Campbell 

5th International ICST Conference on Pervasive Computing Technologies for Healthcare, May 2011

Phase Recognition During Surgical Procedures Using Embedded and Body-worn Sensors [PDF]

Jakob E Bardram, Afsaneh Doryab, Rune M Jensen, Poul M Lange, Kristian LG Nielsen, Søren T Petersen 

2011 IEEE International Conference on Pervasive Computing and Communications (PerCom), March 2011

Activity Analysis: Applying Activity Theory to Analyze Complex Work in Hospitals [PDF]

Jakob Bardram, Afsaneh Doryab 

Proceedings of the ACM 2011 Conference on Computer Supported Cooperative Work, March 2011

Designing Activity-aware Recommender Systems for Operating Rooms [PDF]

Afsaneh Doryab, Jakob E Bardram 

Proceedings of the 2011 Workshop on Context-awareness in Retrieval and Recommendation, Feb 2011

Clinical Surfaces – Activity-Based Computing for Distributed Multi-Display Environments in Hospitals [PDF]

Jakob Bardram, Jonathan Bunde-Pedersen, Afsaneh Doryab, Steffen Sørensen

IFIP Conference on Human-Computer Interaction, July 2009

Concurrent Activity Recognition for Clinical Work [PDF]

Afsaneh Doryab, Julian Togelius