TY - GEN
T1 - On applying experience sampling method to A/B testing of mobile applications
T2 - 15th IFIP TC 13 International Conference on Human–Computer Interaction, INTERACT 2015
AU - Lee, Myunghee
AU - Kim, Gerard J.
N1 - Funding Information:
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (No. 2011-0030079) and funded by the Forensic Research Program of the National Forensic Service (NFS), Ministry of Government Administration and Home Affairs, Korea. (NFS-2015-DIGITAL-04).
Publisher Copyright:
© IFIP International Federation for Information Processing 2015.
PY - 2015
Y1 - 2015
N2 - With the advent of mobile devices, the experience sampling method (ESM) is increasingly used as a convenient and effective way to capture user behaviors of, and evaluate mobile and environment-context dependent applications. Like any field based in situ testing methods, ESM is prone to biases from unreliable and unbalanced data, especially for A/B testing situations. Mitigating such effects can in turn incur significant costs in terms of the number of participants and sessions, and prolonged experimental time. In fact, ESM has rarely been applied to A/B testing nor do existing literatures reveal its operational details and difficulties. In this paper, as a step toward establishing concrete guidelines, we describe a case study of applying ESM to evaluating two competing interfaces for a mobile application. Based on the gathered data and direct interviews with the participants, we highlight the difficulties experienced and lessons learned. In addition, we make a proposal for a new ESM in which the experimental parameters are dynamically reconfigured based on the intermediate experimental results to overcome the aforementioned difficulties.
AB - With the advent of mobile devices, the experience sampling method (ESM) is increasingly used as a convenient and effective way to capture user behaviors of, and evaluate mobile and environment-context dependent applications. Like any field based in situ testing methods, ESM is prone to biases from unreliable and unbalanced data, especially for A/B testing situations. Mitigating such effects can in turn incur significant costs in terms of the number of participants and sessions, and prolonged experimental time. In fact, ESM has rarely been applied to A/B testing nor do existing literatures reveal its operational details and difficulties. In this paper, as a step toward establishing concrete guidelines, we describe a case study of applying ESM to evaluating two competing interfaces for a mobile application. Based on the gathered data and direct interviews with the participants, we highlight the difficulties experienced and lessons learned. In addition, we make a proposal for a new ESM in which the experimental parameters are dynamically reconfigured based on the intermediate experimental results to overcome the aforementioned difficulties.
KW - A/B testing
KW - Experience sampling method (ESM)
KW - Usability
UR - http://www.scopus.com/inward/record.url?scp=84945965724&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-22668-2_17
DO - 10.1007/978-3-319-22668-2_17
M3 - Conference contribution
AN - SCOPUS:84945965724
SN - 9783319226675
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 203
EP - 210
BT - Human-Computer Interaction – INTERACT 2015 - 15th IFIP TC 13 International Conference, Proceedings
A2 - Abascal, Julio
A2 - Barbosa, Simone
A2 - Palanque, Philippe
A2 - Winckler, Marco
A2 - Gross, Tom
A2 - Fetter, Mirko
PB - Springer Verlag
Y2 - 14 September 2015 through 15 September 2015
ER -