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Human Nature: The Subject and the Headache of IoT-Based Sociometric Studies

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dc.abstract.enSociometry has been recently placed on the verge of a new era by first attempts to utilize Internet of Things (IoT) technologies in quantitative studies of social relationships. More and more results of traditional questionnaires and observations, which are prone to bias and human errors, are about to be verified with a supposedly reliable source: data collected by a wireless sensor network (WSN) monitoring individual and group behavior. It may be expected that the potential and availability of sensing devices will soon entirely redefine the practices of sociometry and alleviate its present limitations. However, this revolution requires much more effort than direct application of common IoT solutions. The collision of curious, yet careless human nature with typical sensing devices leads to unique challenges in WSNs. In this paper we share our experiences from deployments of our sociometric system in two distinct environments. Initially, we studied behavior in software development companies, then we conducted a pioneering instrumentation of emulated space missions in a confined habitat. Despite having developed hardware-software platform dedicated to this end, our research group encountered a number of issues specific to the human nature. While some of them were predictable, but inevitable with a limited budget for the research, others were entirely unexpected and had serious consequences.
dc.affiliationUniwersytet Warszawski
dc.conference.countryFrancja
dc.conference.datefinish2020-02-19
dc.conference.datestart2020-02-17
dc.conference.placeLyon
dc.conference.seriesInternational Conference on Embedded Wireless Systems and Networks (was European Conference on Wireless Sensor Networks)
dc.conference.seriesInternational Conference on Embedded Wireless Systems and Networks (was European Conference on Wireless Sensor Networks)
dc.conference.shortcutEWSN 2020
dc.conference.weblinkhttps://ewsn2020.conf.citi-lab.fr/
dc.contributor.authorBatorski, Dominik
dc.contributor.authorIwanicki, Konrad
dc.contributor.authorMatraszek, Maciej
dc.contributor.authorRüb, Inga
dc.contributor.authorKonorski, Piotr
dc.date.accessioned2024-01-25T03:30:56Z
dc.date.available2024-01-25T03:30:56Z
dc.date.issued2020
dc.date.openaccess4
dc.description.accesstimeAFTER_PUBLICATION
dc.description.financePublikacja bezkosztowa
dc.description.versionFINAL_PUBLISHED
dc.identifier.urihttps://repozytorium.uw.edu.pl//handle/item/108738
dc.identifier.weblinkhttps://dl.acm.org/doi/abs/10.5555/3400306.3400358
dc.languageeng
dc.pbn.affiliationcomputer and information sciences
dc.relation.pages265-270
dc.rightsOther
dc.sciencecloudnosend
dc.titleHuman Nature: The Subject and the Headache of IoT-Based Sociometric Studies
dc.typeJournalArticle
dspace.entity.typePublication