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How honest are the signals? A protocol for validating wearable sensors.
Kayhan, Varol Onur; Chen, Zheng Chris; French, Kimberly A; Allen, Tammy D; Salomon, Kristen; Watkins, Alison.
Afiliación
  • Kayhan VO; Kate Tiedemann College of Business, University of South Florida St. Petersburg, St. Petersburg, FL, USA. vkayhan@usfsp.edu.
  • Chen ZC; , St. Petersburg, USA. vkayhan@usfsp.edu.
  • French KA; Kate Tiedemann College of Business, University of South Florida St. Petersburg, St. Petersburg, FL, USA.
  • Allen TD; School of Psychology, Georgia Institute of Technology, Atlanta, GA, USA.
  • Salomon K; College of Arts and Sciences, University of South Florida, Tampa, FL, USA.
  • Watkins A; College of Arts and Sciences, University of South Florida, Tampa, FL, USA.
Behav Res Methods ; 50(1): 57-83, 2018 02.
Article en En | MEDLINE | ID: mdl-29330762
There is growing interest among organizational researchers in tapping into alternative sources of data beyond self-reports to provide a new avenue for measuring behavioral constructs. Use of alternative data sources such as wearable sensors is necessary for developing theory and enhancing organizational practice. Although wearable sensors are now commercially available, the veracity of the data they capture is largely unknown and mostly based on manufacturers' claims. The goal of this research is to test the validity and reliability of data captured by one such wearable badge (by Humanyze) in the context of structured meetings where all individuals wear a badge for the duration of the encounter. We developed a series of studies, each targeting a specific sensor of this badge that is relevant for structured meetings, and we make specific recommendations for badge data usage based on our validation results. We have incorporated the insights from our studies on a website that researchers can use to conduct validation tests for their badges, upload their data, and assess the validity of the data. We discuss this website in the corresponding studies.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Dispositivos Electrónicos Vestibles / Monitoreo Fisiológico Tipo de estudio: Guideline Límite: Female / Humans / Male Idioma: En Revista: Behav Res Methods Asunto de la revista: CIENCIAS DO COMPORTAMENTO Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Dispositivos Electrónicos Vestibles / Monitoreo Fisiológico Tipo de estudio: Guideline Límite: Female / Humans / Male Idioma: En Revista: Behav Res Methods Asunto de la revista: CIENCIAS DO COMPORTAMENTO Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos