Humans and Algorithms for Facial Recognition: The Effects of Candidate List Length and Experience on Performance

Heyer, Rebecca; Semmler, Carolyn; Hendrickson, Andrew

doi:10.1016/j.jarmac.2018.06.002

Cited by 10 publications

(12 citation statements)

References 46 publications

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“…Earlier studies concluded that security concerns inhibit the intent to adopt technologies where monetary information is managed Cheng et al [93]. Jarvenpaa et al [82] believe that, whereas in the early stages of internet application, users' concerns were more about the performance of technologies and how firms have implemented their technologies, and later, security has become a greater concern.…”

Section: A the Relationship Between Security And Intent To Use Faciamentioning

confidence: 99%

Factors Affecting the Use of Facial-Recognition Payment: An Example of Chinese Consumers

Zhang

Kang

2019

IEEE Access

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The emergence and use of facial-recognition payment technology has brought new challenges. Although credit-card payment is quick and easy, it is easy to lose a card or forget the password. Because people use simple passwords and reuse them on different accounts and services, passwords can be shared and cracked. QR payment is inseparable from smart phones, smart phones may be lost, signals may be unstable, and batteries may be exhausted. However, facial-recognition technology, which detects and describes feature vectors without physical contact, directly contributes to overall efficiency, performance, and accuracy. Currently, studies of technical issues of facial-recognition technology and facial-recognition payment systems are very popular. There are many studies that emphasize the working principle of the facial-recognition system, the system's reliability, and the future development trend. However, for non-technical issues, such as from the perspective of consumers, research on the characteristics of facial-recognition payment and the factors affecting consumer's intent to use is rare. Therefore, the purpose of this study is to explore the factors influencing consumers' willingness to use facial-recognition payment systems. This study has selected security, visibility, and expected effort and social image as the feature variables of the facial-recognition payment system. Results in this paper shows that the safety, security, visibility and social image will affect consumers' intent to use the system. It can also influence consumers' intent to use through perceived usefulness. The amount of effort expected not only has direct influence on intent to use but also influences the intent to use by the mediating factor of perceived usefulness. In this article, Openness characteristic (consumer's personality) has a moderating effect on the relationship between security, expected effort and usage intention. INDEX TERMS Facial-recognition payment system, perceived usefulness, openness, intent to use.

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Section: A the Relationship Between Security And Intent To Use Faciamentioning

confidence: 99%

Factors Affecting the Use of Facial-Recognition Payment: An Example of Chinese Consumers

Zhang

Kang

2019

IEEE Access

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“…If we do not show the methodological and analytical steps that we have taken, then our scientific contributions may be lost in translation to practice or, equally problematic, misinterpreted and misapplied. Robust and reproducible findings are desirable in any field of research, but in expert contexts where lives and livelihoods are at stake-such as medicine (Norman & Eva, 2010;Carrigan et al 2019), border security (Heyer, Semmler, & Hendrickson, 2018;Towler, Kemp & White, 2017), and forensic science (Chin, Ribeiro & Rairden, 2019;Edmond et al, 2016)-it is imperative that human systems are built on a foundation of accurate research findings. We have found that there are few downsides to being more open with our peers, partners, and the public about the end-to-end research process involved in understanding expertise.…”

Section: Discussionmentioning

confidence: 99%

Truth and transparency in expertise research

Searston¹,

Thompson²,

Robson³

et al. 2019

Preprint

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Across research areas, general issues of low statistical power, publication bias, undisclosed flexibility in data analysis, and researcher degrees of freedom, can be recipes for irreproducibility. To address the problem, a reform movement known as the ‘credibility revolution’ emphasises the need for greater transparency in how research is conducted. In this article, we describe a general approach to creating a culture of openness—tailored for expertise researchers—and describe how and why practices such as ‘preregistration,’ ‘open notebooks,’ ‘open data,’ ‘open materials,’ and ‘open communication,’ might be applied to research on experts. We argue that adopting these practices helps to connect end-users with the entire research lifecycle, and helps to reconnect researchers with the process of gaining knowledge. By sharing notes about our predictions and plans along the way, we are forced to confront their merits. By documenting design and data analytic decisions ahead of time, and by sharing data and materials, we make errors and insights more discoverable. And by inviting research partners, expert practitioners, and the public into the lab, we stand the best chance of successfully translating research into practice.

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“…Wirth & Carbon, 2017) and government staff who review candidate lists generated by face recognition software (e.g. Heyer, Semmler, & Hendrickson, 2018). These professionals typically receive only basic training, and do not receive mentorship on face matching.…”

Section: Subtypes Of Professional Groupsmentioning

confidence: 99%

“…A variety of facial reviewer cohorts have been compared to novices, including UK police officers (Towler et al 2019), US bank tellers (Papesh, 2018), US notaries (Papesh, 2018), Australian passport issuance officers White, Dunn, et al, 2015;Towler et al, 2019), Australian government staff (Calic, 2013;Heyer et al, 2018), German border control officers (Wirth & Carbon, 2017) and international cohorts of police and government staff (Phillips, Yates et al, 2018). All of these groups performed unfamiliar face matching in their daily work, and their decisions played a critical part of processes designed to protect against identity fraud and other criminal activity.…”

Section: Facial Reviewersmentioning

confidence: 99%

Understanding Professional Expertise in Unfamiliar Face Matching

White¹,

Towler²,

Kemp³

2021

Forensic Face Matching

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Deciding whether or not two images are of the same unfamiliar face is an important task in many professions. These decisions are a critical part of modern identity verification processes with direct—and often profound—consequences for individual rights and the security of society. As a result, the public expect the people entrusted with these decisions to perform accurately. But do they? Here we review 29 published tests comparing face matching accuracy in professional and novice groups. Twelve of these tests show no significant differences between professional and novice groups, suggesting that merely performing the task in daily work is not sufficient to improve accuracy. However, specialist groups of facial examiners and police super-recognizers consistently outperform novices. Staff selection, mentorship, deliberate practice, motivation, feedback and training may all contribute to enhancing the performance of individuals working in these groups, and future research is necessary to delineate their relative contributions.

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Humans and Algorithms for Facial Recognition: The Effects of Candidate List Length and Experience on Performance

Cited by 10 publications

References 46 publications

Factors Affecting the Use of Facial-Recognition Payment: An Example of Chinese Consumers

Factors Affecting the Use of Facial-Recognition Payment: An Example of Chinese Consumers

Truth and transparency in expertise research

Understanding Professional Expertise in Unfamiliar Face Matching

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