Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
}
TY - CHAP
T1 - Studying the impact of ubiquitous monitoring technology on office worker behaviours
T2 - the value of sharing research data
AU - Moran, Stuart
AU - de Vallejo, Irene Lopez
AU - Nakata, Keiichi
AU - Dalton, Ruth
AU - Luck, Rachael
AU - McLennan, Peter
AU - Hailes, Stephen
PY - 2012/3/23
Y1 - 2012/3/23
N2 - Pervasive computing is a continually, and rapidly, growing field, although still remains in relative infancy. The possible applications for the technology are numerous, and stand to fundamentally change the way users interact with technology. However, alongside these are equally numerous potential undesirable effects and risks. The lack of empirical naturalistic data in the real world makes studying the true impacts of this technology difficult. This paper describes how two independent research projects shared such valuable empirical data on the relationship between pervasive technologies and users. Each project had different aims and adopted different methods, but successfully used the same data and arrived at the same conclusions. This paper demonstrates the benefit of sharing research data in multidisciplinary pervasive computing research where real world implementations are not widely available.
AB - Pervasive computing is a continually, and rapidly, growing field, although still remains in relative infancy. The possible applications for the technology are numerous, and stand to fundamentally change the way users interact with technology. However, alongside these are equally numerous potential undesirable effects and risks. The lack of empirical naturalistic data in the real world makes studying the true impacts of this technology difficult. This paper describes how two independent research projects shared such valuable empirical data on the relationship between pervasive technologies and users. Each project had different aims and adopted different methods, but successfully used the same data and arrived at the same conclusions. This paper demonstrates the benefit of sharing research data in multidisciplinary pervasive computing research where real world implementations are not widely available.
KW - data sharing
KW - location data
KW - mixed methods
KW - modelling
KW - monitoring
KW - pervasive
KW - spatial
KW - ubiquitous
U2 - 10.1109/PerComW.2012.6197642
DO - 10.1109/PerComW.2012.6197642
M3 - Chapter
SN - 9781467309059
SP - 902
EP - 907
BT - Proceedings of the 2012 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)
PB - IEEE
CY - United States
ER -