TY - GEN
T1 - USR
T2 - 2014 6th International Conference on Mobile Computing, Applications and Services, MobiCASE 2014
AU - Feng, Tao
AU - Gao, Zhimin
AU - Boumber, Dainis
AU - Liu, Tzu Hua
AU - Desalvo, Nicholas
AU - Zhao, Xi
AU - Shi, Weidong
N1 - Publisher Copyright:
© 2014 The Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering (ICST).
PY - 2015/1/28
Y1 - 2015/1/28
N2 - We propose a new approach for improving user experience and privacy protection during human-mobile speech interaction by considering factors, such as user identity, application privacy level, usable app access control, and application function class. To integrate these factors into speech recognition on the mobile device, we design and implement a unified speech-speaker recognizer (USR) framework, which will recognize both speech content and speaker identification, and respond accordingly. This USR framework consists of an application interface, a speaker recognition module, a speech recognition module, and an identity management module. A comparison study was conducted contrasting the benefits and limitations of USR framework to the established original speech recognition and app access control framework on mobile device, such as Google Voice, and AppLock. Our results show that, while USR framework intuitively improved mobile privacy by serving only the phone owner for specific customized applications, USR framework was also able to provide better user experience across a number of tasks.
AB - We propose a new approach for improving user experience and privacy protection during human-mobile speech interaction by considering factors, such as user identity, application privacy level, usable app access control, and application function class. To integrate these factors into speech recognition on the mobile device, we design and implement a unified speech-speaker recognizer (USR) framework, which will recognize both speech content and speaker identification, and respond accordingly. This USR framework consists of an application interface, a speaker recognition module, a speech recognition module, and an identity management module. A comparison study was conducted contrasting the benefits and limitations of USR framework to the established original speech recognition and app access control framework on mobile device, such as Google Voice, and AppLock. Our results show that, while USR framework intuitively improved mobile privacy by serving only the phone owner for specific customized applications, USR framework was also able to provide better user experience across a number of tasks.
KW - App Access Control
KW - Identity Management
KW - Mobile Device
KW - Privacy
KW - Usability
UR - https://www.scopus.com/pages/publications/84924390327
U2 - 10.4108/icst.mobicase.2014.257766
DO - 10.4108/icst.mobicase.2014.257766
M3 - 会议稿件
AN - SCOPUS:84924390327
T3 - Proceedings of the 2014 6th International Conference on Mobile Computing, Applications and Services, MobiCASE 2014
SP - 225
EP - 234
BT - Proceedings of the 2014 6th International Conference on Mobile Computing, Applications and Services, MobiCASE 2014
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 6 November 2014 through 7 November 2014
ER -