Beyond Recognition: The Promise of Biometric Analytics

Ricanek, Karl

doi:10.1109/mc.2014.236

Cited by 6 publications

(3 citation statements)

References 4 publications

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“…Recent studies have incorporated a new methodology by analyzing respondents' facial expressions for novel purposes (Ricanek, 2014). Affectiva (www.affdex.com) is a commonly used facial expression software that aims to "digitize emotion."…”

Section: Face Analytics Methodsmentioning

confidence: 99%

“…Recent studies have incorporated a new methodology by analyzing respondents’ facial expressions for novel purposes (Ricanek, 2014). Affectiva (www.affdex.com) is a commonly used facial expression software that aims to “digitize emotion.” Its signature tool, Affdex, captures users’ facial expressions via a webcam and uses cloud-based processing to extract the data and analyze each individual’s emotional state.…”

Section: Study 1: Affective Feedback Toward Cybernetic Avatars Throug...mentioning

confidence: 99%

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Bridging social marketing and technology in the disability field: an empirical study on the role of cybernetic avatar and social inclusion

Moriuchi

2023

JSOCM

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Purpose This study aims to determine the perception and attitude of consumers toward the presence of cybernetic avatars (CAs) as part of a social inclusion initiative. Design/methodology/approach A mixed method was used to conduct the study using facial recognition expressions and surveys. Three studies were conducted. Study 1 examines consumers’ attitudes and perceptions of a CA and what it can do to promote social inclusivity among people who have mobility disabilities but wish to work. Study 2 tests a conceptual model to determine the factors that affect consumers’ intention to visit an establishment that uses CAs as their employees. Study 3 extends Study 2 and tests two moderators predicted to influence consumers’ attitudes toward CAs and their intention to visit an establishment that uses CAs. Findings The results show that consumers generally accept and are excited about such technological developments. Study 2 further supports this positive perception with its conceptual model. Study 3 provides insights into how the moderating factors influence a consumer’s attitude toward CAs and their intention to visit the establishment. Between consumers who have a mobility disability and those who do not, those who have mobility disabilities showed a more positive attitude and intention to patronize such an establishment. Originality/value Studies on CAs are still in the infancy stage. This study provides insight into how society can use technology to promote social inclusion, contrary to prior opposing arguments towards integrating robots into society.

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Section: Face Analytics Methodsmentioning

confidence: 99%

Section: Study 1: Affective Feedback Toward Cybernetic Avatars Throug...mentioning

confidence: 99%

Bridging social marketing and technology in the disability field: an empirical study on the role of cybernetic avatar and social inclusion

Moriuchi

2023

JSOCM

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“…The process commences with a digital photograph being taken, and the face scaled and aligned to establish a baseline position. The facial features are then quantified to create a contour map of the position of individual facial features that is converted into a digital template (Ricanek, 2014). In the matching process, pairs of digital templates are compared, and a numerical score derived, representing a probabilistic measure that they are of the same person.…”

mentioning

confidence: 99%

Facial Recognition and Privacy Rights

Smith

Miller

2021

Biometric Identification, Law and Ethics

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Biometric facial recognition is one of the most rapidly developing methods of biometric identification, with expanding applications across law enforcement, government and the private sector. Its capacity for integration with other technologies, such as closed circuit television (CCTV) and social media, differentiate it from DNA and fingerprint biometric identification. This chapter commences with a discussion of the technique of facial recognition and applications in identity verification, public surveillance, and the identification of unknown suspects. Its relative advantages and disadvantages, and the development of facial recognition around the world is explored. The discussion then examines how facial recognition databases developed from existing databases, such as driver’s licence photographs, can be integrated with CCTV systems, and most recently, with photographs from social media and the internet. The chapter then considers relevant ethical principles, including privacy, autonomy, security and public safety, and the implications for law and regulation in relation to facial recognition.

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