The validity of RFID badges measuring face-to-face interactions

Elmer, Timon; Chaitanya, Krishna; Purwar, Prateek; Stadtfeld, Christoph

doi:10.3758/s13428-018-1180-y

“…The fraction is lower for very short events such as greetings but notably larger if we consider only grooming events, which are known to be very important socially [52]. We note that in this case the fraction of tracked observed interactions is about 50%, a value very close to that obtained recently in [47] in a comparison between the contacts among human individuals as observed in an annotated video and as registered by wearable sensors. We finally note that we can consider the reverse procedure that is, considering the contacts registered by the sensors as the ground truth.…”

Section: (Iii) Comparing Interactions and Contactssupporting

confidence: 79%

Measuring social networks in primates: wearable sensors versus direct observations

Gelardi

¹

,

Godard

²

,

Paleressompoulle

³

et al. 2020

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Network analysis represents a valuable and flexible framework to understand the structure of individual interactions at the population level in animal societies. The versatility of network representations is moreover suited to different types of datasets describing these interactions. However, depending on the data collection method, different pictures of the social bonds between individuals could a priori emerge. Understanding how the data collection method influences the description of the social structure of a group is thus essential to assess the reliability of social studies based on different types of data. This is however rarely feasible, especially for animal groups, where data collection is often challenging. Here, we address this issue by comparing datasets of interactions between primates collected through two different methods: behavioural observations and wearable proximity sensors. We show that, although many directly observed interactions are not detected by the sensors, the global pictures obtained when aggregating the data to build interaction networks turn out to be remarkably similar. Moreover, sensor data yield a reliable social network over short time scales and can be used for long-term studies, showing their important potential for detailed studies of the evolution of animal social groups.

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“…For short and 447 elusive interactions instead, like greeting, this percentage is only of about ∼ 20%, which 448 can be explained by the fact that greetings among primates are most often not 449 face-to-face interactions. Notably, our results are in line with [47], where the 450 correspondence was examined between data collected by wearable sensors and a video of 451 the same interactions, yielding a sensitivity of 50% (about half of the interactions 452 annotated on the video were present in the wearable sensor data).…”

supporting

confidence: 80%

“…The fraction is notably larger if we consider 297 only grooming events, which are known to be very important socially [52]. We note that 298 in this case the fraction of tracked observed interactions is about 50%, a value very close 299 to the one recently obtained in [47] in a comparison between the contacts between 300 human individuals as observed in an annotated video and as registered by wearable 301 sensors. On the contrary, the fraction is lower for very short events such as greetings.…”

supporting

confidence: 54%

“…In 68 particular, many contacts registered by sensors are not reported in surveys, especially 69 for short contacts, while long contacts are better reported [43][44][45]. Comparison between 70 sensors and direct observations or videos have yielded mixed results [46,47]. Among 71 animals, different types of networks built from the same data set of direct observations 72 have been shown to differ [41,42], while a social network deduced from co-presence in 73 cognitive testing booths has been shown to correlate with the one obtained from 74 directly observed interactions [48,49].…”

mentioning

confidence: 99%

“…objective and reliable definition of contact as a proximity event. Second, all individuals 47 equipped with a sensor are monitored together, continuously and potentially for a long 48 time without the need for constant human supervision. This enables in principle the 49 collection of large data sets covering long periods of times and, consequently, makes it 50 possible to investigate the evolution and stability of social relationships and social 51 groups on long timescales.…”

mentioning

confidence: 99%

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Measuring social networks in primates: wearable sensors vs. direct observations

Gelardi

¹

,

Godard

²

,

Paleressompoulle

³

et al. 2020

Preprint

View full text Add to dashboard Cite

Network analysis represents a valuable and flexible framework to understand the structure of individual interactions at the population level in animal societies. The versatility of network representations is moreover suited to different types of datasets describing these interactions. However, depending on the data collection method, different pictures of the social bonds between individuals could a priori emerge. Understanding how the data collection method influences the description of the social structure of a group is thus essential to assess the reliability of social studies based on different types of data. This is however rarely feasible, especially for animal groups, where data collection is often challenging. Here, we address this issue by comparing datasets of interactions between primates collected through two different methods: behavioral observations and wearable proximity sensors. We show that, although many directly observed interactions are not detected by the sensors, the global pictures obtained when aggregating the data to build interaction networks turn out to be remarkably similar. Sensors data yield moreover a reliable social network already over short timescales and can be used for long term campaigns, showing their important potential for detailed studies of the evolution of animal social groups. Introduction 1 Interactions between individuals are the foundation of complex social structures in 2 human and other animal societies. Network analysis represents a valuable framework to 3 understand the structure and evolution of these interactions, as it encodes a whole 4 hierarchy of patterns, from individual-level interactions to complex population-level 5 social structures. [1-3, 3-8].6 With the increasing deployment of digital devices, new ways of collecting data, 7 combined with new network analysis tools, have made possible the development of 8 quantitative measures of these relationships and patterns in modern human societies, 9 January 17, 2020 1/20leading to the emergence of computational social science in the last decades [9]. For 10 instance, social relationships have been inferred and studied using various data sources 11 ranging from phone calls [10], e-mails [11,12], online interactions [13], to face-to-face 12 interactions measured by wearable sensors [14][15][16][17][18][19][20]. 13The availability of large volumes of data with high temporal resolution has thus 14 contributed to the rapid expansion of data-driven computational studies of human 15 relationships and human social networks. On the contrary, the data collection remains 16 more challenging in the field of animal studies, because the data on animal interactions 17 are still largely obtained from direct observations [6,21]. Data resulting from such 18 observations are extremely valuable as they often include detailed information about the 19 nature, duration and location of the interactions between individuals. They thus allow 20 researchers to grasp and investigate complex social patterns in animal groups. 21 Unfortunat...

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Sektorenübergreifende Therapiekonzepte und innovative Technologien: neue Möglichkeiten für die Versorgung von Patienten mit psychischen Erkrankungen

Hirjak

¹

,

Reininghaus

²

,

Braun

³

et al. 2021

Nervenarzt

3

0

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ZusammenfassungPsychische Erkrankungen sind weit verbreitet und ein bedeutendes Problem des allgemeinen Gesundheitswesens. Das Risiko, irgendwann im Laufe des Lebens eine psychische Erkrankung zu entwickeln, liegt bei rund 40 %. Psychische Erkrankungen zählen damit zu den epidemiologisch bedeutsamsten Erkrankungen. Trotz der Einführung neuerer Psychopharmaka, störungsspezifischer Psychotherapie und Stimulationstechniken zeigen viele der Betroffenen immer noch eine unzureichende Symptomremission und einen chronischen Verlauf. Durch den konzeptuellen und technischen Fortschritt der letzten Jahre wird eine neue, flexiblere und personalisierte Form der fachpsychiatrischen Patientenversorgung ermöglicht. Sowohl die traditionellen Therapie- und Organisationskonzepte als auch neuere dezentral arbeitende, modular aufgebaute, stationär-teilstationär-ambulante Einheiten werden zusammen mit innovativen digitalen Technologien vielen betroffenen Menschen mit psychischen Erkrankungen individualisierte Therapieoptionen bieten, welche ihre Symptome bestmöglich lindern und ihre Lebensqualität erheblich verbessern könnten. Das primäre Ziel der engen Verknüpfung von modernen Versorgungskonzepten und innovativen Technologien ist es, ein umfassendes Therapie- und Nachsorgekonzept (innerhalb und außerhalb der Klinik) für die individuellen Bedürfnisse von Menschen mit psychischer Erkrankung bereitzustellen. Nicht zuletzt wird dadurch auch eine ortsunabhängige Verfügbarkeit der fachärztlichen Behandlung erreicht. In der Psychiatrie des 21. Jahrhunderts müssen moderne Versorgungsstrukturen mit der aktuellen Dynamik der digitalen Transformation effektiv verknüpft werden. Die vorliegende selektive Übersichtsarbeit widmet sich den theoretischen und praktischen Gesichtspunkten eines sektorenübergreifenden Behandlungssystems kombiniert mit innovativen digitalen Technologien im psychiatrisch-psychotherapeutischen Fachbereich am Beispiel des Zentralinstituts für Seelische Gesundheit in Mannheim.

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The validity of RFID badges measuring face-to-face interactions

Cited by 61 publications

References 53 publications

Measuring social networks in primates: wearable sensors versus direct observations

Measuring social networks in primates: wearable sensors versus direct observations

Measuring social networks in primates: wearable sensors vs. direct observations

Sektorenübergreifende Therapiekonzepte und innovative Technologien: neue Möglichkeiten für die Versorgung von Patienten mit psychischen Erkrankungen

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