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Artificial intelligence (AI) and robotic coaches promise the improved engagement of patients on rehabilitation exercises through social interaction. While previous work explored the potential of automatically monitoring exercises for AI and…

Socially assistive robots are increasingly being explored to improve the engagement of older adults and people with disability in health and well-being-related exercises. However, even if people have various physical conditions, most prior…

With increasing physicians' workload and patients' needs for care, there is a need for technology that facilitates physicians work and performs continues follow-up with patients. Existing approaches focus merely on improving patient's…

人工智能 · 计算机科学 2019-04-26 Ahmed Fadhil

We present SmartWalkCoach, a mobile AI companion that supports the full walking journey: from pre-walk planning to in-walk guidance through to post-walk reflection. Addressing a gap between map navigation and motivational coaching,…

人机交互 · 计算机科学 2026-05-15 Xianzhe Zhang , Mingxuan Hu , Bufan Xue , Erick Purwanto , Thomas J Selig , Daniel Yonto

The research of a socially assistive robot has a potential to augment and assist physical therapy sessions for patients with neurological and musculoskeletal problems (e.g. stroke). During a physical therapy session, generating personalized…

Therapeutic homework (i.e., tasks assigned by therapists for clients to complete between sessions) is essential for effective psychotherapy, yet therapists often interpret fragmented client logs, assessments, and reflections within limited…

人机交互 · 计算机科学 2026-01-27 Yimeng Wang , Liabette Escamilla , Yinzhou Wang , Bianca R. Augustine , Yixuan Zhang

Individuals with diverse motor abilities often benefit from intensive and specialized rehabilitation therapies aimed at enhancing their functional recovery. Nevertheless, the challenge lies in the restricted availability of…

Telerehabilitation systems for stroke survivors have been predominantly designed to measure and quantify movement in order to guide and encourage rehabilitation regular exercises at home. We set out to study what aspect of the movement data…

人机交互 · 计算机科学 2021-02-18 Adegboyega Akinsiku , Ignacio Avellino , Yasmin Graham , Helena M. Mentis

We here present work a generalized low-level technical framework aimed to provide musical biofeedback in post-stroke balance and gait rehabilitation, built by an iterative user-centered process. The framework comprises wireless wearable…

人机交互 · 计算机科学 2020-12-02 Prithvi Kantan , Erika G. Spaich , Sofia Dahl

This is the preprint version of our paper on 2015 9th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth2015). An assistive training tool software for rehabilitation of dysphonic patients is…

人机交互 · 计算机科学 2015-07-30 Zhihan Lv , Chantal Esteve , Javier Chirivella , Pablo Gagliardo

In this work, we present a new dataset and a computational strategy for a digital coach that aims to guide users in practicing the protocols of self-attachment therapy. Our framework augments a rule-based conversational agent with a…

人工智能 · 计算机科学 2024-02-01 Lisa Alazraki , Ali Ghachem , Neophytos Polydorou , Foaad Khosmood , Abbas Edalat

Motivation to perform movement therapy and caregiver burnout are major challenges to post-stroke life. Serious games have been shown to support therapeutic tasks in people with stroke, but there are few activities that simultaneously…

Our research aims to develop interactive, social agents that can coach people to learn new tasks, skills, and habits. In this paper, we focus on coaching sedentary, overweight individuals (i.e., trainees) to exercise regularly. We employ…

人机交互 · 计算机科学 2020-09-14 Shiwali Mohan , Anusha Venkatakrishnan , Andrea Hartzler

Poor lifestyle represents a health risk factor and is the leading cause of morbidity and chronic conditions. The impact of poor lifestyle can be significantly altered by individual behavior change. Although the current shift in healthcare…

人工智能 · 计算机科学 2019-04-29 Ahmed Fadhil , Gianluca Schiavo , Yunlong Wang

With advanced AI/ML, there has been growing research on explainable AI (XAI) and studies on how humans interact with AI and XAI for effective human-AI collaborative decision-making. However, we still have a lack of understanding of how AI…

人机交互 · 计算机科学 2024-05-28 Min Hun Lee , Silvana Xin Yi Choo , Shamala D/O Thilarajah

The rise of wearable smart devices raises unprecedented opportunities for self-improvement through ubiquitous behavior tracking and guidance. However, the design of effective wearable behavior intervention systems remains relatively…

人机交互 · 计算机科学 2025-07-08 Zhang Youpeng , Nuwan Janaka , Ashwin Ram , Yin Peilin , Tian Yang , Shengdong Zhao , Pierre Dragicevic

Stroke is one of the leading causes of disability worldwide. The efficacy of recovery is determined by a variety of factors, including patient adherence to rehabilitation programs. One way to increase patient adherence to their…

人机交互 · 计算机科学 2024-02-20 Alicia Ouskine , Adrian D. C. Chan , Fateme Rajabiyazdi

Effective workplace communication is essential for managerial success, yet many managers lack access to tailored and sustained training. Although AI-assisted communication systems may offer scalable training solutions, little is known about…

人机交互 · 计算机科学 2025-05-22 Lance T. Wilhelm , Xiaohan Ding , Kirk McInnis Knutsen , Buse Carik , Eugenia H. Rho

Stroke patients with upper limb motor impairments are re-acclimated to their corresponding motor functionalities through therapeutic interventions. Physiotherapists typically assess these functionalities using various qualitative protocols.…

In today's world, many patients with cognitive impairments and motor dysfunction seek the attention of experts to perform specific conventional therapies to improve their situation. However, due to a lack of neurorehabilitation…

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