TY - GEN
T1 - Measuring Engagement Through Remote Interactions of Customers
T2 - 2023 International Symposium on Networks, Computers and Communications, ISNCC 2023
AU - Azem, Jinan Y.
AU - Salminen, Joni
AU - Jung, Soon Gyo
AU - Jansen, Bernard J.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In this article, we present METRIC. Measuring Engagement Through Remote Interactions of Customers (METRIC) (https://metric.qcri.org/) is a tool for collecting, measuring, analyzing, and reporting the engagement of online systems through actual interactions of customers or users, either remote or in the lab. METRIC enables system stakeholders to enhance their understanding of their audience, customer, or users' actual behavior on pages, images, videos, interfaces, and online systems, including the gaze and interaction with sub-elements on a page within a system or comparisons via A/B testing. Along with eye-tracking devices, METRIC uses a webcam-based eye-tracking JavaScript library for the ability to monitor the users' real visual attention during interaction with the online system. METRIC provides sophisticated reporting features throughout the collecting, measuring, and analyzing process. METRIC can also be deployed in user experiments toward the design of better cooperation technologies, primarily due to its online nature.
AB - In this article, we present METRIC. Measuring Engagement Through Remote Interactions of Customers (METRIC) (https://metric.qcri.org/) is a tool for collecting, measuring, analyzing, and reporting the engagement of online systems through actual interactions of customers or users, either remote or in the lab. METRIC enables system stakeholders to enhance their understanding of their audience, customer, or users' actual behavior on pages, images, videos, interfaces, and online systems, including the gaze and interaction with sub-elements on a page within a system or comparisons via A/B testing. Along with eye-tracking devices, METRIC uses a webcam-based eye-tracking JavaScript library for the ability to monitor the users' real visual attention during interaction with the online system. METRIC provides sophisticated reporting features throughout the collecting, measuring, and analyzing process. METRIC can also be deployed in user experiments toward the design of better cooperation technologies, primarily due to its online nature.
KW - HCI
KW - user
KW - user studies
KW - user testing
UR - http://www.scopus.com/inward/record.url?scp=85179844706&partnerID=8YFLogxK
U2 - 10.1109/ISNCC58260.2023.10323669
DO - 10.1109/ISNCC58260.2023.10323669
M3 - Conference contribution
AN - SCOPUS:85179844706
T3 - 2023 International Symposium on Networks, Computers and Communications, ISNCC 2023
BT - 2023 International Symposium on Networks, Computers and Communications, ISNCC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 23 October 2023 through 26 October 2023
ER -