TY - GEN
T1 - Gamification of wearable data collection
T2 - 3rd International Conference on Compute and Data Analysis, ICCDA 2019
AU - Acharya, Sraddhanjali
AU - Matovu, Richard
AU - Serwadda, Abdul
AU - Griswold-Steiner, Isaac
N1 - Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/3/14
Y1 - 2019/3/14
N2 - Games are designed to build on certain inherently reward centered aspects of our psychology. This encourages the user to keep playing and engaging in the entertainment for just a bit longer. In this paper we explore the way in which gamification can be used to benefit researchers aiming to collect large amounts of data from sometimes less than enthusiastically motivated participants. We also investigate the risks associated with such mechanisms for data collection and how malicious entities could use these same methods to trick users into exposing private information. Across several experiments used to measure the cross-applicable nature of the data we collected, we demonstrate that a gamified version of a data collection tool could be used to predict the pattern used to unlock a phone.
AB - Games are designed to build on certain inherently reward centered aspects of our psychology. This encourages the user to keep playing and engaging in the entertainment for just a bit longer. In this paper we explore the way in which gamification can be used to benefit researchers aiming to collect large amounts of data from sometimes less than enthusiastically motivated participants. We also investigate the risks associated with such mechanisms for data collection and how malicious entities could use these same methods to trick users into exposing private information. Across several experiments used to measure the cross-applicable nature of the data we collected, we demonstrate that a gamified version of a data collection tool could be used to predict the pattern used to unlock a phone.
KW - Gamification
KW - Wearables
UR - http://www.scopus.com/inward/record.url?scp=85064955010&partnerID=8YFLogxK
U2 - 10.1145/3314545.3314572
DO - 10.1145/3314545.3314572
M3 - Conference contribution
AN - SCOPUS:85064955010
T3 - ACM International Conference Proceeding Series
SP - 68
EP - 77
BT - ICCDA 2019 - Proceedings of 2019 the 3rd International Conference on Compute and Data Analysis
PB - Association for Computing Machinery
Y2 - 14 March 2019 through 17 March 2019
ER -