N. Sharma (Nikita)

Researcher
ET-DPM-IxD
n.sharma@utwente.nl
+31534899238
Business card

I am a transdisciplinary researcher working at the intersection of behavioral science, data science, and design science in the domain of healthcare. Currently, I am a postdoctoral researcher in the Interaction Design group within the Department of Design, Production, and Management.

Prior to this, I obtained a dual Ph.D. from the University of Twente and the University of Oulu. My thesis focused on developing and implementing an unobtrusive sensing solution for older adult care to support caregivers.

Expertise

  • Nursing and Health Professions

    • Caregiver
    • Older Adult
    • Cognitive Defect

  • Computer Science

    • Wi-Fi
    • Channel State Information
    • Communication
    • Persuasive System
    • Systems Design

Organisations

My research lies at the intersection of diverse domains, including artificial intelligence (developing novel algorithms for human activity recognition), behavioral science (gathering needs and requirements, behavior change), and design science (prototyping, user testing, and studying the impact of designs on users). Most of the projects I work on aim to contribute to a positive societal impact.

Publications

2024
Low-Fidelity Prototype of a Sensor-Dependent Interaction Platform: Formative Evaluation With Informal Caregivers of Older Adults With Cognitive Impairment, Article e53402. Sharma, N., Grotenhuijs, K., van Gemert-Pijnen, L. J. E. W. C., Oinas-Kukkonen, H. I. & Jansen, L.https://doi.org/10.2196/53402Sensing the care: Advancing unobtrusive sensing solutions to support informal caregivers of older adults with cognitive impairment. University of Twente. Sharma, N.https://doi.org/10.3990/1.9789036559942Exploring the support needs of young adult caregivers, their issues, and preferences towards a web-based tool: a mixed-method study, Article 3. Dang, S., Looijmans, A., Sharma, N., Jansen, L. & Hagedoorn, M.https://doi.org/10.1186/s44247-023-00057-6
2023
Wi-Gitation: Replica Wi-Fi CSI Dataset for Physical Agitation Activity Recognition, Article 9. Sharma, N., Brinke, J. K., Jansen, L. M. A. B., Havinga, P. J. M. & Le, D. V.https://doi.org/10.3390/data9010009Exploring the Needs and Requirements of Informal Caregivers of Older Adults With Cognitive Impairment From Sensor-Based Care Solutions: Multimethod Study, Article e49319. Sharma, N., Braakman-Jansen, L. M. A., Oinas-Kukkonen, H., Croockewit, J. H. & van Gemert-Pijnen, J. E. W. C.https://doi.org/10.2196/49319Lo-Fi Prototype of a Sensor-dependent Interaction Platform: Formative Evaluation with Informal Caregivers of Older Adults with Cognitive Impairment. JMIR Publications. Sharma, N., Grotenhuijs, K., Gemert-Pijnen, J. E. W. C. v., Oinas-Kukkonen, H. & Braakman-Jansen, L. M. A.https://doi.org/10.2196/preprints.53402Exploring the Impact of Locations and Activities in Person-Wise Data Mismatch in CSI-based HARIn 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT) (pp. 232-239). Sharma, N., Le, D. V. & Havinga, P. J. M.https://doi.org/10.1109/DCOSS-IoT58021.2023.00048Utilising Emotion Monitoring for Developing Music Interventions for People with Dementia: A State-of-the-Art Review, Article 5834. Vuijk, J. G. J., Klein Brinke, J. & Sharma, N.https://doi.org/10.3390/s23135834Communicating Care: Identifying Information and design requirements of Informal Caregivers of Older Adults with Cognitive Impairment in changing scenariosIn Behavior Change Support Systems: Proceedings of the 11th International Conference on Behavior Change Support Systems (pp. 20-29). Sharma, N., Jansen, L., Croockewit, J. H. & Oinas-Kukkonen, H. I.https://ceur-ws.org/Vol-3436/
2021
Implementation of Unobtrusive Sensing Systems for Older Adult Care: Scoping Review, Article e27862. Sharma, N., Klein Brinke, J., van Gemert-Pijnen, L. J. E. W. C. & Jansen, L.https://doi.org/10.2196/27862

Research profiles

Current projects

MOCIA

As a postdoc, I am involved in the MOCIA project, where I am developing a data-driven, user-centered, multi-domain digital lifestyle intervention. This toolkit aims to promote brain health among the general population while aligning with their values regarding health and digital technology.

Finished projects

ENTWINE

For my Ph.D., I was involved in the ENTWINE project, where I developed and evaluated the Unobtrusive Sensing Solution (USS) for in-home monitoring of older adults with cognitive impairment (OwCI) who live alone in their own houses to ease the support of their informal caregivers. In this research, I conducted a scoping review to identify available unobtrusive sensing technology that can be implemented in older adult care. Subsequently, Wi-Fi CSI technology was utilized to collect a dataset illustrating physical agitation activities (Wi-Gitation). Furthermore, the Inter-data Selected Sequential Transfer Learning (InSSeqTra) framework was proposed and implemented to classify the agitation activities. Lastly, the thesis focused on identifying the needs and requirements of informal caregivers of OwCI towards USSs. These needs and requirements were gathered through interviews and surveys, informing the development of a Lo-Fi prototype for an interaction platform. Overall, the results obtained through this project not only enhance the development of Wi-Fi CSI (specifically for OwCI care) but also provide valuable insights into the informational and design requirements of informal caregivers, thereby promoting the context-aware development of USSs.

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