TY - GEN
T1 - Online feedback exchange
T2 - 2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2017
AU - Foong, Eureka
AU - Dow, Steven P.
AU - Bailey, Brian P.
AU - Gerber, Elizabeth M.
N1 - Publisher Copyright:
© 2017 ACM.
PY - 2017/5/2
Y1 - 2017/5/2
N2 - To meet the demand for authentic, timely, and affordable feedback, researchers have explored technologies to connect designers with feedback providers online. While researchers have implemented mechanisms to improve the content of feedback, most systems for online feedback exchange do not support an end-to-end cycle, from help-seeking to sense-making to action. Building on extant literature in learning sciences, design, organizational behavior, and online communities, we propose a conceptual framework to highlight critical processes that affect online feedback exchange. We contribute research questions for future feedback systems and argue that online feedback systems must be able to support designers through five activities that happen before, during, and after the feedback exchange. Our framework suggests that systems should address broader socio-psychological factors, such as how intent should be communicated online, how dialogue can support the interpretation of feedback, and how to balance the tradeoffs of anonymizing feedback providers.
AB - To meet the demand for authentic, timely, and affordable feedback, researchers have explored technologies to connect designers with feedback providers online. While researchers have implemented mechanisms to improve the content of feedback, most systems for online feedback exchange do not support an end-to-end cycle, from help-seeking to sense-making to action. Building on extant literature in learning sciences, design, organizational behavior, and online communities, we propose a conceptual framework to highlight critical processes that affect online feedback exchange. We contribute research questions for future feedback systems and argue that online feedback systems must be able to support designers through five activities that happen before, during, and after the feedback exchange. Our framework suggests that systems should address broader socio-psychological factors, such as how intent should be communicated online, how dialogue can support the interpretation of feedback, and how to balance the tradeoffs of anonymizing feedback providers.
KW - Crowdsourcing
KW - Design methods
KW - Feedback
KW - Online communities
KW - Online feedback exchange
KW - Social networks
UR - http://www.scopus.com/inward/record.url?scp=85025650631&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85025650631&partnerID=8YFLogxK
U2 - 10.1145/3025453.3025791
DO - 10.1145/3025453.3025791
M3 - Conference contribution
AN - SCOPUS:85025650631
T3 - Conference on Human Factors in Computing Systems - Proceedings
SP - 4454
EP - 4467
BT - CHI 2017 - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 6 May 2017 through 11 May 2017
ER -