TY - GEN
T1 - When the price is right
T2 - 31st Annual CHI Conference on Human Factors in Computing Systems: Changing Perspectives, CHI 2013
AU - Sen, Soumya
AU - Joe-Wong, Carlee
AU - Ha, Sangtae
AU - Bawa, Jasika
AU - Chiang, Mung
N1 - Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - In an era of 108% annual growth in demand for mobile data and $10/GB overage fees, Internet Service Providers (ISPs) are experiencing severe congestion and in turn are hurting consumers with aggressive pricing measures. But smarter practices, such as time-dependent pricing (TDP), reward users for shifting their non-critical demand to off-peak hours and can potentially benefit both users and ISPs. Although dynamic TDP ideas have existed for many years, dynamic pricing for mobile data is only now gaining interest among ISPs. Yet TDP plans require not only systems engineering but also an understanding of economic incentives, user behavior and interface design. In particular, the HCI aspects of communicating price feedback signals from the network and the response of mobile data users need to be studied in the real world. But investigating these issues by deploying a virtual TDP data plan for real ISP customers is challenging and rarely explored. To this end, we carried out the first TDP trial for mobile data in the US with 10 families. We describe the insights gained from the trial, which can help the HCI community as well as ISPs, app developers and designers create tools that empower users to better control their usage and save on their monthly bills, while also alleviating network congestion.
AB - In an era of 108% annual growth in demand for mobile data and $10/GB overage fees, Internet Service Providers (ISPs) are experiencing severe congestion and in turn are hurting consumers with aggressive pricing measures. But smarter practices, such as time-dependent pricing (TDP), reward users for shifting their non-critical demand to off-peak hours and can potentially benefit both users and ISPs. Although dynamic TDP ideas have existed for many years, dynamic pricing for mobile data is only now gaining interest among ISPs. Yet TDP plans require not only systems engineering but also an understanding of economic incentives, user behavior and interface design. In particular, the HCI aspects of communicating price feedback signals from the network and the response of mobile data users need to be studied in the real world. But investigating these issues by deploying a virtual TDP data plan for real ISP customers is challenging and rarely explored. To this end, we carried out the first TDP trial for mobile data in the US with 10 families. We describe the insights gained from the trial, which can help the HCI community as well as ISPs, app developers and designers create tools that empower users to better control their usage and save on their monthly bills, while also alleviating network congestion.
KW - Broadband access pricing
KW - Dynamic pricing
KW - Economics
KW - Mobile application interface
KW - Time- and usage-based pricing
UR - http://www.scopus.com/inward/record.url?scp=84877990072&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84877990072&partnerID=8YFLogxK
U2 - 10.1145/2470654.2481343
DO - 10.1145/2470654.2481343
M3 - Conference contribution
AN - SCOPUS:84877990072
SN - 9781450318990
T3 - Conference on Human Factors in Computing Systems - Proceedings
SP - 2477
EP - 2486
BT - CHI 2013
Y2 - 27 April 2013 through 2 May 2013
ER -