Face Recognition in Context: A Case Study of Tips on a Call-In Crime TV Show

证人 执法 背景(考古学) 公设辩护人 面子(社会学概念) 鉴定(生物学) 嫌疑犯 互联网隐私 法学 犯罪学 广告 计算机安全 心理学 政治学 社会学 计算机科学 刑事司法 业务 历史 考古 生物 植物 社会科学
作者
Otto H. MacLin,Ryan Tapscott,M. Kimberly MacLin
出处
期刊:North American Journal of Psychology 卷期号:12 (3): 459- 被引量:4
链接
摘要

Society places increasing demands on the public to help identify terrorists and criminals at large, and to find missing or runaway children (Bailey, 2005; BBC, 2004; Handlin, 2001; Kresnak & Askari, 2002; Martindale, 2003; Merzer, Kuhnhenn, & Strobel, 2003). Since the FBI's first wanted poster in 1910, over 5,400 such identification orders have been regularly disseminated to the public (http://www.fbi.gov). Law enforcement agencies regularly call on citizens to aid in the capturing of criminals and communicate with the public in the form of billboards, news stories, press releases, reenactments on call-in shows, and websites. This concept of tapping into public knowledge has been extended in creative ways to solicit information to find missing children, sex offenders, identify unknown deceased victims, and locate terrorists. Law enforcement agencies go to great effort and expense to create composite images from witness reports (Dawes, 1986, Frowd et al., 2005), or to create a photographable clay model of a face from skeletal remains (Manhein, 2005; Manhein, et al., 2000). The faces of missing children are regularly posted in Wal-Mart entrances, on milk cartons, and via Amber alerts on television and digital billboards on highways. The U.S. Military distributed playing cards with the facial images of wanted Iraqis to soldiers in hopes of increasing the likelihood of capture (Zucco, 2003). Many of these examples rely on the dissemination of facial information to the public in order to see if anyone knows or has seen a particular person. If someone does, they can then respond with information (known as a 'tip') to authorities. Facial images (photos, composites, or video) can be used to try to find someone unknown to authorities (e.g., eyewitness identification), or to find someone known to authorities (e.g., fugitive situation). Each of these situations is a unique face recognition scenario. In eyewitness identification, a witness sees or experiences a crime. The witness encodes details of the crime, and then stores the information in memory for later recall. This information may include a mental image of the perpetrator's face. The information may be used to generate a composite image, or serve as a source of verbal information (a physical description). At some point after the crime, the witness may be shown a mug shot, live lineup, or a photo array and asked to indicate if he or she recognizes anyone and to confirm that the photo presented is the person from the original event (Haber & Haber, 2000; Lindsey, Nosworthy, Martin, & Martynuck, 1994; Wells, 1993). In eyewitness identification, the witness is seeking to match the image in his or her mind with an image(s) presented. In fugitive situations, a person is presented with a photo, composite, video, or information (e.g., vehicle or physical description) via television, internet, posters, or billboards. They are asked to report any information that may be useful in locating the person depicted. In particular, the facial image/information may serve as a cue to memory of a previous event (I remember seeing this person at the store; that's my cousin!) or as an alert to notice this person in the environment (I'm going to keep my eye out for this person). Depending on metacognitive factors (e.g., how strong they feel their memory trace is; their level of confidence in their 'match') and social factors (e.g., their desire to help, fear of repercussions, etc) they may or may not provide their information to police. This type of memory process requires a person to match a photograph or other image to any and all possible matches in memory. We know a great deal about how people recognize faces, and much about factors such as typicality and distinctiveness (Shapiro & Penrod, 1986; Vokey & Read, 1989), race (MacLin & Malpass, 2001; Malpass & Kravitz, 1969; Meissner & Brigham, 2001), multiple views and multiple opportunities to view (Maentylae & Cornoldi, 2002), context (Davies & Milne, 1982; Sanders, 1984; Sporer, 1993; Thompson, Robertson, & Vogt, 1982), and delay (MacLin, MacLin, & Malpass, 2001; Shepherd, 1983). …

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
www完成签到,获得积分10
刚刚
小小应助kingwill采纳,获得30
1秒前
隐形曼青应助ly采纳,获得10
1秒前
英勇的大树关注了科研通微信公众号
1秒前
cliffzhang发布了新的文献求助10
3秒前
桃李春风一杯酒完成签到,获得积分10
3秒前
adamchris发布了新的文献求助10
3秒前
开放雨真完成签到 ,获得积分10
4秒前
赵一迈完成签到,获得积分10
5秒前
6秒前
Vivian发布了新的文献求助10
6秒前
7秒前
椿·完成签到,获得积分10
7秒前
7秒前
默默善愁发布了新的文献求助10
7秒前
俏皮白云完成签到 ,获得积分10
8秒前
午梦千山发布了新的文献求助10
10秒前
Hikx发布了新的文献求助10
10秒前
汪旺完成签到 ,获得积分10
10秒前
科研通AI6应助咸鱼采纳,获得10
11秒前
生动娩发布了新的文献求助10
12秒前
11完成签到,获得积分10
13秒前
量子星尘发布了新的文献求助10
14秒前
小火苗发布了新的文献求助10
14秒前
Vivian完成签到,获得积分10
16秒前
19秒前
19秒前
19秒前
万能图书馆应助ZSC采纳,获得10
20秒前
gao完成签到,获得积分10
21秒前
21秒前
Epicbird完成签到 ,获得积分10
22秒前
23秒前
Tian发布了新的文献求助10
23秒前
kkk发布了新的文献求助10
23秒前
24秒前
adamchris发布了新的文献求助10
24秒前
生动娩发布了新的文献求助10
25秒前
午梦千山完成签到,获得积分10
25秒前
蔡继海发布了新的文献求助10
25秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Mechanics of Solids with Applications to Thin Bodies 5000
Encyclopedia of Agriculture and Food Systems Third Edition 2000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 临床微生物学程序手册,多卷,第5版 2000
人脑智能与人工智能 1000
King Tyrant 720
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5599456
求助须知:如何正确求助?哪些是违规求助? 4685036
关于积分的说明 14837601
捐赠科研通 4668162
什么是DOI,文献DOI怎么找? 2537964
邀请新用户注册赠送积分活动 1505398
关于科研通互助平台的介绍 1470783