{"title":"技术介导的一线执法工作中的戈夫曼式“冷却”","authors":"Pegah Moradi, Karen Levy, Elizabeth Chiarello","doi":"10.1177/08944393251361938","DOIUrl":null,"url":null,"abstract":"Frontline workers enforce rules in their interactions with customers, patients, and everyday people. AI and other emerging digital technologies increasingly mediate these interactions, but sociologists have often overlooked how technology affects relationships between enforcer and enforcee. We argue that centering Erving Goffman’s ideas of “cooling the mark out”—ameliorating tense interactions after a loss of face, status, or self-image—can illuminate how new, data-driven technologies shift roles and relationships in frontline work. We illustrate these processes by drawing on three case studies: self-checkout in retail cashiering, electronic driving logs in commercial vehicle inspections, and prescription drug monitoring programs in pharmacy. We conclude with recommendations for how sociologists of AI can draw on Goffman to theorize about changes in frontline work occasioned by new AI-driven technologies.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"59 1","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Goffmanian “Cooling” in Technology-Mediated Frontline Enforcement Work\",\"authors\":\"Pegah Moradi, Karen Levy, Elizabeth Chiarello\",\"doi\":\"10.1177/08944393251361938\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Frontline workers enforce rules in their interactions with customers, patients, and everyday people. AI and other emerging digital technologies increasingly mediate these interactions, but sociologists have often overlooked how technology affects relationships between enforcer and enforcee. We argue that centering Erving Goffman’s ideas of “cooling the mark out”—ameliorating tense interactions after a loss of face, status, or self-image—can illuminate how new, data-driven technologies shift roles and relationships in frontline work. We illustrate these processes by drawing on three case studies: self-checkout in retail cashiering, electronic driving logs in commercial vehicle inspections, and prescription drug monitoring programs in pharmacy. We conclude with recommendations for how sociologists of AI can draw on Goffman to theorize about changes in frontline work occasioned by new AI-driven technologies.\",\"PeriodicalId\":49509,\"journal\":{\"name\":\"Social Science Computer Review\",\"volume\":\"59 1\",\"pages\":\"\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2025-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Social Science Computer Review\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1177/08944393251361938\",\"RegionNum\":2,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Social Science Computer Review","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/08944393251361938","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Goffmanian “Cooling” in Technology-Mediated Frontline Enforcement Work
Frontline workers enforce rules in their interactions with customers, patients, and everyday people. AI and other emerging digital technologies increasingly mediate these interactions, but sociologists have often overlooked how technology affects relationships between enforcer and enforcee. We argue that centering Erving Goffman’s ideas of “cooling the mark out”—ameliorating tense interactions after a loss of face, status, or self-image—can illuminate how new, data-driven technologies shift roles and relationships in frontline work. We illustrate these processes by drawing on three case studies: self-checkout in retail cashiering, electronic driving logs in commercial vehicle inspections, and prescription drug monitoring programs in pharmacy. We conclude with recommendations for how sociologists of AI can draw on Goffman to theorize about changes in frontline work occasioned by new AI-driven technologies.
期刊介绍:
Unique Scope Social Science Computer Review is an interdisciplinary journal covering social science instructional and research applications of computing, as well as societal impacts of informational technology. Topics included: artificial intelligence, business, computational social science theory, computer-assisted survey research, computer-based qualitative analysis, computer simulation, economic modeling, electronic modeling, electronic publishing, geographic information systems, instrumentation and research tools, public administration, social impacts of computing and telecommunications, software evaluation, world-wide web resources for social scientists. Interdisciplinary Nature Because the Uses and impacts of computing are interdisciplinary, so is Social Science Computer Review. The journal is of direct relevance to scholars and scientists in a wide variety of disciplines. In its pages you''ll find work in the following areas: sociology, anthropology, political science, economics, psychology, computer literacy, computer applications, and methodology.