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International Journal of Human–Computer Interaction Volume 40, 2024 - Issue 14
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Research Articles

The Pi-CON Methodology Applied: Operator Errors and Preference Tracking of a Novel Ubiquitous Vital Signs Sensor and Its User Interface

Steffen Baumanna Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA, USACorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-4693-6843View further author information
ORCID Icon,
Richard T. Stonea Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA, USAView further author information
,
Ulrike Genschelb Department of Statistics, Iowa State University, Ames, IA, USAView further author information
&
Fatima Mgaedeha Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA, USAView further author information
Pages 3782-3804 | Received 25 Oct 2022, Accepted 03 Apr 2023, Published online: 07 May 2023

Citations (4)

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Read on this site (1)

Steffen Baumann & Richard T. Stone. (2023) Applying user-centered design and the Pi-CON methodology for vital signs sensor development. Journal of Medical Engineering & Technology 47:5, pages 277-287.
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Articles from other publishers (3)

Steffen Baumann, Richard T. Stone & Esraa Abdelall. (2024) Introducing a Remote Patient Monitoring Usability Impact Model to Overcome Challenges. Sensors 24:12, pages 3977.
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Linas Saikevičius, Vidas Raudonis, Gintaras Dervinis & Virginijus Baranauskas. (2024) Non-Contact Vision-Based Techniques of Vital Sign Monitoring: Systematic Review. Sensors 24:12, pages 3963.
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Steffen Baumann, Richard Stone & Joseph Yun-Ming Kim. (2024) Introducing the Pi-CON Methodology to Overcome Usability Deficits during Remote Patient Monitoring. Sensors 24:7, pages 2260.
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