TY - GEN
T1 - Relations between actions performed by users and their engagement
AU - Ana, Ana Paula
AU - de O. Melo, Claudia
AU - S. Rozestraten, Artur
AU - Gerosa, Marco Aurelio
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2018.
PY - 2018
Y1 - 2018
N2 - Although Galleries, Libraries, Archives, and Museums (GLAMs) increasingly encourage users to assist in the curation of online collections through open collaboration systems, measuring users’ engagement in these systems is a dynamic and complex challenge. We analyzed 18 user’s actions over 20 days according to the User Engagement Scale (UES) and based on Maximal Repeating Patterns (MRPs) and correlations between user interaction elements and dimensions of user engagement (focused attention, perceived usability, aesthetics, and reward). Our results show differences in usage tactics for users with high, medium, and low scores from UES, and monotonically increasing moderate correlations between perceived usability scores and game design elements. Additionally, we found that the longer the mean time interval between two consecutive user actions during a usage period lasted, the higher the UES score was. These results help to understand what influences user engagement, isolating the effects of user interaction elements.
AB - Although Galleries, Libraries, Archives, and Museums (GLAMs) increasingly encourage users to assist in the curation of online collections through open collaboration systems, measuring users’ engagement in these systems is a dynamic and complex challenge. We analyzed 18 user’s actions over 20 days according to the User Engagement Scale (UES) and based on Maximal Repeating Patterns (MRPs) and correlations between user interaction elements and dimensions of user engagement (focused attention, perceived usability, aesthetics, and reward). Our results show differences in usage tactics for users with high, medium, and low scores from UES, and monotonically increasing moderate correlations between perceived usability scores and game design elements. Additionally, we found that the longer the mean time interval between two consecutive user actions during a usage period lasted, the higher the UES score was. These results help to understand what influences user engagement, isolating the effects of user interaction elements.
KW - GLAM
KW - Gamification
KW - MRP
KW - Open collaboration community
KW - UES
KW - User action
KW - User engagement
KW - User interaction element
UR - http://www.scopus.com/inward/record.url?scp=85053148960&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85053148960&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-99504-5_17
DO - 10.1007/978-3-319-99504-5_17
M3 - Conference contribution
AN - SCOPUS:85053148960
SN - 9783319995038
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 207
EP - 222
BT - Collaboration and Technology - 24th International Conference, CRIWG 2018, Proceedings
A2 - Rodrigues, Armanda
A2 - Preguiça, Nuno
A2 - Fonseca, Benjamim
PB - Springer-Verlag
T2 - 24th International Conference on Collaboration and Technology, CRIWG 2018
Y2 - 5 September 2018 through 7 September 2018
ER -