Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45297, first published .
Acceptance and Privacy Perceptions Toward Video-based Active and Assisted Living Technologies: Scoping Review

Acceptance and Privacy Perceptions Toward Video-based Active and Assisted Living Technologies: Scoping Review

Acceptance and Privacy Perceptions Toward Video-based Active and Assisted Living Technologies: Scoping Review

Journals

  1. Kuźmicz M. A Concept of Balance of Interest in the Context of Active Assisted Living. Digital Society 2023;2(3) View
  2. Sun L, Yang B, Kindt E, Chu J. Privacy Barriers in Health Monitoring: Scoping Review. JMIR Nursing 2024;7:e53592 View
  3. Mujirishvili T, Cabrero-García J, Flórez-Revuelta F, Richart-Martínez M. Navigating the crossroads of aging, caregiving and technology: Insights from southern Spain about video-based technology in the care context. DIGITAL HEALTH 2024;10 View
  4. Shang X, Liu Z, Gong C, Hu Z, Wu Y, Wang C. Knowledge mapping and evolution of research on older adults’ technology acceptance: a bibliometric study from 2013 to 2023. Humanities and Social Sciences Communications 2024;11(1) View
  5. Zhou J, Salvendy G, Boot W, Charness N, Czaja S, Gao Q, Holzinger A, Ntoa S, Rau P, Rogers W, Stephanidis C, Wahl H, Ziefle M. Grand Challenges of Smart Technology for Older Adults. International Journal of Human–Computer Interaction 2025:1 View
  6. Saqib E, He S, Choy J, Abu-Salma R, Such J, Bernd J, Javed M. Bystander Privacy in Smart Homes: A Systematic Review of Concerns and Solutions. ACM Transactions on Computer-Human Interaction 2025;32(5):1 View
  7. Moore D, Tao S, Ricci-De Lucca E, Tadin C, Tadin D, Morgan B, Murnane E. Family In The Loop: Enabling Family Involvement and Person-Centered Dementia Care at Long-Term Care Facilities with Collaborative AI Tools. Proceedings of the ACM on Human-Computer Interaction 2025;9(7):1 View
  8. Owusu E, Acquah I, Asare M, Yeboah B. LiteFallNet: A lightweight deep learning model for efficient real-time fall detection. DIGITAL HEALTH 2025;11 View

Books/Policy Documents

  1. Lutz C, Miguel C, Mujirishvili T, Perez-Vega R, Fedosov A. Privacy-Aware Monitoring for Assisted Living. View

Conference Proceedings

  1. Mujirishvili T, Fedosov A, Hashemifard K, Climent-Pérez P, Florez-Revuelta F. Proceedings of the CHI Conference on Human Factors in Computing Systems. “I Don’t Want to Become a Number’’: Examining Different Stakeholder Perspectives on a Video-Based Monitoring System for Senior Care with Inherent Privacy Protection (by Design). View
  2. Kuźmicz M. 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG). What Should we Care About in AAL? Unveiling the Main Interests of the Users in the Legal Context View
  3. Esposito A, Moghbelan Y, Zyrianoff I, Bononi L, Di Felice M. 2025 21st International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT). Federated Transfer Learning on the Edge: A Vision-Based Motor Rehabilitation System View
  4. Chang Y, Codling J, Dong Y, Zhang J, Noh H, Zhang P. Proceedings of the 12th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation. ViLA: Leveraging General-Purpose Audio for Training Vibration-Based Stadium Crowd Monitoring Models View