Biometrics
Body Odor Authentication Perception and Acceptance
Bibliographic Data
| ID | 19354172 |
|---|---|
| Authors | Martin Gibbs (0000-0002-4091-9789, corresponding author), Martin D Gibbs (Independent Scholar, Rochester, MN) |
| Year | 2010 |
| Volume | 40 |
| Issue | 4 |
| Pages | 16-24 |
| Publication date | 2010-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ACM SIGCAS Computers and Society (JOURNAL) |
| Journal identifiers | ISSN: 0095-2737 • E-ISSN: 2167-3055 |
| Publisher | Association for Computing Machinery (ACM) (PUBLISHER) |
| DOI | 10.1145/1929609.1929612 |
| OpenAlex | W2163686170 |
| Language | EN |
| Citations received | 2 |
| References cited | 11 |
Odor detection and identification by machines is currently being done to evaluate perfumes, wine, olive, oil, and even find people buried in rubble. Extending body odor detection to authentication may seem far-fetched and unrealistic. Yet such an application is plausible, given that like a fingerprint or iris, the human body odor is unique. Although such technology still has strides to make before being applicable as either a stand-alone or supplemental technology to existing biometric tools, it still warrants research, especially in how the technology is perceived. Numerous studies have addressed the public perception of biometric technologies, although odor scanning is one that has been under-addressed. This exploratory study addresses perceptions and attitudes of odor scanning and recommends directions for future research and practice. This study has found that odor scanning is little understood, and its benefit to security and privacy are perceived as low. Should body odor scanning develop into a viable method of biometric authentication, issues of perception and acceptance will need further attention by both research and practice
Authentication (law) · Biometrics · Computer security · Exploratory research · Fingerprint (computing) · Human–computer interaction · Internet privacy · Odor · Perception · Sociology · Advanced Chemical Sensor Technologies · Computer Science · Olfactory and Sensory Function Studies · Psychology · User Authentication and Security Systems
| Citations per year | 0.33 |
|---|---|
| Citation span | 2020 - 2022 (3) |
| Highly cited | No |