TY - GEN
T1 - An exploratory study to detect temporal orientation using bluetooth’s sensor
AU - Hernandez, Netzahualcoyotl
AU - Demiray, Burcu
AU - Arnrich, Bert
AU - Favela, Jesus
N1 - Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/5/20
Y1 - 2019/5/20
N2 - Mobile sensing technology allows us to investigate human behaviour on a daily basis. In the study, we examined temporal orientation, which refers to the capacity of thinking or talking about personal events in the past and future. We utilise the mk-sense platform that allows us to use the experience-sampling method. Individual’s thoughts and their relationship with smartphone’s Bluetooth data is analysed to understand in which contexts people are influenced by social environments, such as the people they spend the most time with. As an exploratory study, we analyse social condition influence through a collection of Bluetooth data and survey information from participant’s smartphones. Preliminary results show that people are likely to focus on past events when interacting with close-related people, and focus on future planning when interacting with strangers. Similarly, people experience present temporal orientation when accompanied by known people. We believe that these findings are linked to emotions since, in its most basic state, emotion is a state of physiological arousal combined with an appropriated cognition. In this contribution, we envision a smartphone application for automatically inferring human emotions based on user’s temporal orientation by using Bluetooth sensors, we briefly elaborate on the influential factor of temporal orientation episodes and conclude with a discussion and lessons learned.
AB - Mobile sensing technology allows us to investigate human behaviour on a daily basis. In the study, we examined temporal orientation, which refers to the capacity of thinking or talking about personal events in the past and future. We utilise the mk-sense platform that allows us to use the experience-sampling method. Individual’s thoughts and their relationship with smartphone’s Bluetooth data is analysed to understand in which contexts people are influenced by social environments, such as the people they spend the most time with. As an exploratory study, we analyse social condition influence through a collection of Bluetooth data and survey information from participant’s smartphones. Preliminary results show that people are likely to focus on past events when interacting with close-related people, and focus on future planning when interacting with strangers. Similarly, people experience present temporal orientation when accompanied by known people. We believe that these findings are linked to emotions since, in its most basic state, emotion is a state of physiological arousal combined with an appropriated cognition. In this contribution, we envision a smartphone application for automatically inferring human emotions based on user’s temporal orientation by using Bluetooth sensors, we briefly elaborate on the influential factor of temporal orientation episodes and conclude with a discussion and lessons learned.
KW - Bluetooth
KW - Human behaviour
KW - Mobile sensing
KW - Social environment
KW - Temporal orientation
UR - https://www.scopus.com/pages/publications/85067889955
U2 - 10.1145/3329189.3329223
DO - 10.1145/3329189.3329223
M3 - Conference Proceeding
AN - SCOPUS:85067889955
T3 - PervasiveHealth: Pervasive Computing Technologies for Healthcare
SP - 292
EP - 297
BT - Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2019
PB - ICST
T2 - 13th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2019
Y2 - 20 May 2019 through 23 May 2019
ER -