2014
DOI: 10.1016/j.imavis.2014.09.003
|View full text |Cite
|
Sign up to set email alerts
|

Automatic usability and stress analysis in mobile biometrics

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
7
0
1

Year Published

2015
2015
2020
2020

Publication Types

Select...
5
2
2

Relationship

3
6

Authors

Journals

citations
Cited by 16 publications
(8 citation statements)
references
References 14 publications
0
7
0
1
Order By: Relevance
“…Furthermore, the HBSI framework defines metrics related to usability (satisfaction, eefficiency and effectiveness), cognitive (learnability and memorability), ergonomics (physical conditions) and signal processing (sample quality and processing capabilities) [4] to obtain a holistic view of the user's interaction with the biometric system. For further details about the HBSI please refer to [2][3][4][5][6][7]. This framework has been tested for a number of different modalities: hand geometry [5], fingerprint [4] and face [6].…”
Section: Biometric Interaction Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…Furthermore, the HBSI framework defines metrics related to usability (satisfaction, eefficiency and effectiveness), cognitive (learnability and memorability), ergonomics (physical conditions) and signal processing (sample quality and processing capabilities) [4] to obtain a holistic view of the user's interaction with the biometric system. For further details about the HBSI please refer to [2][3][4][5][6][7]. This framework has been tested for a number of different modalities: hand geometry [5], fingerprint [4] and face [6].…”
Section: Biometric Interaction Analysismentioning
confidence: 99%
“…This framework has been tested for a number of different modalities: hand geometry [5], fingerprint [4] and face [6]. The HBSI has also been applied to mobile implementations for dynamic signature [7]. A novel and extended implementation was proposed in our previous work [2,8] which incorporates mobile analytic tools and server logs to ensure sufficient data is captured.…”
Section: Biometric Interaction Analysismentioning
confidence: 99%
“…The HBSI has also been applied to mobile device implementations for dynamic signature [8]. The work presented in this article applies the HBSI framework to a voice recognition system within mobile environments.…”
Section: Biometric Interaction Analysismentioning
confidence: 99%
“…In [5] the use of different styluses in dynamic signature verification on an iPad was studied reaching interesting outcomes regarding ergonomics. The stress as a key usability factor in biometric recognition was analysed in [6], where authors showed that mobile biometrics are reliable even when the user is under stressful situations (banks, shops, post office, etc.). The most relevant works providing feedback to users in biometrics are the experiments made by NIST.…”
Section: State Of the Art In Biometrics Usabilitymentioning
confidence: 99%