TY - GEN
T1 - WearMail
T2 - 30th Annual ACM Symposium on User Interface Software and Technology, UIST 2017
AU - Swaminathan, Saiganesh
AU - Fok, Raymond
AU - Chen, Fanglin
AU - Huang, Ting Hao
AU - Lin, Irene
AU - Jadvani, Rohan
AU - Lasecki, Walter S.
AU - Bigham, Jeffrey P.
N1 - Publisher Copyright:
©2017ACM.
PY - 2017/10/20
Y1 - 2017/10/20
N2 - Email is more than just a communication medium. Email serves as an external memory for people-it contains our reservation numbers, meeting details, phone numbers, and more. Often, people need access to this information while on the go, which is cumbersome from mobile devices with limited I/O bandwidth. In this paper, we introduce WearMail, a conversational interface to retrieve specific information in email.WearMailismostly automatedbutismaderobustto information extraction tasks via a novel privacy-preserving human computation workflow. InWearMail, crowdworkers never have direct access to emails, but rather (i) generate an email filter to help the system find messages that may contain the desired information, and (ii) generate examples of the requested information that are then used to create custom, low-level information extractors that run automatically within the setof filtered emails.Weexplorethe impactofvaryinglevels of obfuscation on result quality, demonstrating that workers are able to deal with highly-obfuscated information nearly as well as with the original.WearMail introduces general mechanisms that let the crowd search and select private data without having direct access to the data itself.
AB - Email is more than just a communication medium. Email serves as an external memory for people-it contains our reservation numbers, meeting details, phone numbers, and more. Often, people need access to this information while on the go, which is cumbersome from mobile devices with limited I/O bandwidth. In this paper, we introduce WearMail, a conversational interface to retrieve specific information in email.WearMailismostly automatedbutismaderobustto information extraction tasks via a novel privacy-preserving human computation workflow. InWearMail, crowdworkers never have direct access to emails, but rather (i) generate an email filter to help the system find messages that may contain the desired information, and (ii) generate examples of the requested information that are then used to create custom, low-level information extractors that run automatically within the setof filtered emails.Weexplorethe impactofvaryinglevels of obfuscation on result quality, demonstrating that workers are able to deal with highly-obfuscated information nearly as well as with the original.WearMail introduces general mechanisms that let the crowd search and select private data without having direct access to the data itself.
UR - http://www.scopus.com/inward/record.url?scp=85041532317&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85041532317&partnerID=8YFLogxK
U2 - 10.1145/3126594.3126603
DO - 10.1145/3126594.3126603
M3 - Conference contribution
AN - SCOPUS:85041532317
T3 - UIST 2017 - Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology
SP - 807
EP - 815
BT - UIST 2017 - Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology
PB - Association for Computing Machinery, Inc
Y2 - 22 October 2017 through 25 October 2017
ER -