Wearable bluetooth sensors for capturing relational variables and temporal variability in relationships: A construct validation study.
The advent of wearable sensor technologies has the potential to transform organizational
research by offering the unprecedented opportunity to collect continuous, objective, highly …
research by offering the unprecedented opportunity to collect continuous, objective, highly …
The strength of friendship ties in proximity sensor data
Understanding how people interact and socialize is important in many contexts from disease
control to urban planning. Datasets that capture this specific aspect of human life have …
control to urban planning. Datasets that capture this specific aspect of human life have …
Mapping dynamic social networks in real life using participants' own smartphones
Interpersonal relationships are vital for our daily functioning and wellbeing. Social networks
may form the primary means by which environmental influences determine individual traits …
may form the primary means by which environmental influences determine individual traits …
The promise and perils of wearable sensors in organizational research
D Chaffin, R Heidl, JR Hollenbeck… - Organizational …, 2017 - journals.sagepub.com
Rapid advances in mobile computing technology have the potential to revolutionize
organizational research by facilitating new methods of data collection. The emergence of …
organizational research by facilitating new methods of data collection. The emergence of …
Validation of a smartphone app to map social networks of proximity
Social network analysis is a prominent approach to investigate interpersonal relationships.
Most studies use self-report data to quantify the connections between participants and …
Most studies use self-report data to quantify the connections between participants and …
An unsupervised learning approach to social circles detection in ego bluetooth proximity network
J Zheng, LM Ni - Proceedings of the 2013 ACM international joint …, 2013 - dl.acm.org
Understanding a user's social interactions in the physical world proves important in building
context-aware ubiquitous applications. A good way towards that objective is to categorize …
context-aware ubiquitous applications. A good way towards that objective is to categorize …
Mobile phone data for inferring social network structure
We analyze 330,000 hours of continuous behavioral data logged by the mobile phones of
94 subjects, and compare these observations with self-report relational data. The …
94 subjects, and compare these observations with self-report relational data. The …
New frontiers in ambulatory assessment: Big data methods for capturing couples' emotions, vocalizations, and physiology in daily life
With the increasing use of smartphone technologies and wearable biosensors, we are
currently undergoing what many have termed a “data revolution,” where intensive …
currently undergoing what many have termed a “data revolution,” where intensive …
Contextual grouping: discovering real-life interaction types from longitudinal bluetooth data
TMT Do, D Gatica-Perez - 2011 IEEE 12th International …, 2011 - ieeexplore.ieee.org
By exploiting built-in sensors, mobile smart phone have become attractive options for large-
scale sensing of human behavior as well as social interaction. In this paper, we present a …
scale sensing of human behavior as well as social interaction. In this paper, we present a …
Bluetooth familiarity: Methods of calculation, applications and limitations
We present an approach for utilising a mobile device's Bluetooth sensor to automatically
identify social interactions and relationships between individuals in the real world. We show …
identify social interactions and relationships between individuals in the real world. We show …