Daniel Siewiorek

Daniel Siewiorek

Carnegie Mellon University

H-index: 71

North America-United States

About Daniel Siewiorek

Daniel Siewiorek, With an exceptional h-index of 71 and a recent h-index of 24 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Wearable computing, computer reliability, computer architecture, human computer interaction, computer aided design.

His recent articles reflect a diverse array of research interests and contributions to the field:

Enabling AI and robotic coaches for physical rehabilitation therapy: iterative design and evaluation with therapists and post-stroke survivors

Designing a Human-Centered Intelligent System to Monitor & Explain Abnormal Patterns of Older Adults

Design, development, and evaluation of an interactive personalized social robot to monitor and coach post-stroke rehabilitation exercises

Towards efficient annotations for a human-ai collaborative, clinical decision support system: A case study on physical stroke rehabilitation assessment

A human-ai collaborative approach for clinical decision making on rehabilitation assessment

An exploratory study on techniques for quantitative assessment of stroke rehabilitation exercises

Attention paid versus paying attention in pervasive computing

The efficacy of a multicomponent functional fitness program based on exergaming on cognitive functioning of healthy older adults: a randomized controlled trial

Daniel Siewiorek Information

University

Position

___

Citations(all)

22760

Citations(since 2020)

2886

Cited By

23793

hIndex(all)

71

hIndex(since 2020)

24

i10Index(all)

227

i10Index(since 2020)

55

Email

University Profile Page

Carnegie Mellon University

Google Scholar

View Google Scholar Profile

Daniel Siewiorek Skills & Research Interests

Wearable computing

computer reliability

computer architecture

human computer interaction

computer aided design

Top articles of Daniel Siewiorek

Title

Journal

Author(s)

Publication Date

Enabling AI and robotic coaches for physical rehabilitation therapy: iterative design and evaluation with therapists and post-stroke survivors

International Journal of Social Robotics

Min Hun Lee

Daniel P Siewiorek

Asim Smailagic

Alexandre Bernardino

2022/7/23

Designing a Human-Centered Intelligent System to Monitor & Explain Abnormal Patterns of Older Adults

Min Hun Lee

Daniel P Siewiorek

Alexandre Bernardino

2023/10/22

Design, development, and evaluation of an interactive personalized social robot to monitor and coach post-stroke rehabilitation exercises

Journal of Education and Health Promotion

Faeze Ghaffari

Fatemeh Rangraz Jeddi

Razieh Farrahi

Ehsan Nabovati

2021/1/1

Towards efficient annotations for a human-ai collaborative, clinical decision support system: A case study on physical stroke rehabilitation assessment

Min Hun Lee

Daniel P Siewiorek

Asim Smailagic

Alexandre Bernardino

Sergi Bermúdez i Badia

2022/3/22

A human-ai collaborative approach for clinical decision making on rehabilitation assessment

Min Hun Lee

Daniel P Siewiorek

Asim Smailagic

Alexandre Bernardino

Sergi Bermúdez Bermúdez i Badia

2021/5/6

An exploratory study on techniques for quantitative assessment of stroke rehabilitation exercises

Min Hun Lee

Daniel P Siewiorek

Asim Smailagic

Alexandre Bernardino

Sergi Bermúdez i Badia

2020/7/7

Attention paid versus paying attention in pervasive computing

IEEE Pervasive Computing

Joseph A Paradiso

Daniel Siewiorek

2020/5/15

The efficacy of a multicomponent functional fitness program based on exergaming on cognitive functioning of healthy older adults: a randomized controlled trial

Journal of aging and physical activity

Élvio R Gouveia

Asim Smailagic

Andreas Ihle

Adilson Marques

Bruna R Gouveia

...

2020/12/25

Interactive hybrid approach to combine machine and human intelligence for personalized rehabilitation assessment

Min Hun Lee

Daniel P Siewiorek

Asim Smailagic

Alexandre Bernardino

Sergi Bermúdez i Badia

2020/4/2

Co-design and evaluation of an intelligent decision support system for stroke rehabilitation assessment

Proceedings of the ACM on Human-Computer Interaction

Min Hun Lee

Daniel P Siewiorek

Asim Smailagic

Alexandre Bernardino

Sergi Bermúdez i Badia

2020/10/14

Edge-based wearable systems for cognitive assistance: Design challenges, solution framework, and application to emergency healthcare

Siyan Zhao

Junjue Wang

Hongkun Leng

Yuqi Liu

Haodong Liu

...

2020/3

Towards personalized interaction and corrective feedback of a socially assistive robot for post-stroke rehabilitation therapy

Min Hun Lee

Daniel P Siewiorek

Asim Smailagic

Alexandre Bernardino

Sergi Bermúdez Badia

2020/8/31

Opportunities of a machine learning-based decision support system for stroke rehabilitation assessment

arXiv preprint arXiv:2002.12261

Min Hun Lee

Daniel P Siewiorek

Asim Smailagic

Alexandre Bernardino

2020/2/27

Designing personalized interaction of a socially assistive robot for stroke rehabilitation therapy

arXiv preprint arXiv:2007.06473

Min Hun Lee

Daniel P Siewiorek

Asim Smailagic

Alexandre Bernardino

2020/7/13

See List of Professors in Daniel Siewiorek University(Carnegie Mellon University)