“Machine Down”: making sense of human–computer interaction—Garfinkel’s research on ELIZA and LYRIC from 1967 to 1969 and its contemporary relevance

相关性(法律) 脚本语言 归属 计算机科学 订单(交换) 聊天机器人 认识论 心理学 社会学 认知科学 人工智能 社会心理学 哲学 操作系统 政治学 经济 法学 财务
作者
Clemens Eisenmann,Jakub Mlynář,Jason Turowetz,Anne Warfield Rawls
出处
期刊:AI & society [Springer Nature]
卷期号:39 (6): 2715-2733 被引量:20
标识
DOI:10.1007/s00146-023-01793-z
摘要

Abstract This paper examines Harold Garfinkel’s work with ELIZA and a related program LYRIC from 1967 to 1969. AI researchers have tended to treat successful human–machine interaction as if it relied primarily on non-human machine characteristics, and thus the often-reported attribution of human-like qualities to communication with computers has been criticized as a misperception—and humans who make such reports referred to as “deluded.” By contrast Garfinkel, building on two decades of prior research on information and communication, argued that the ELIZA and the LYRIC “chatbots” were achieving interactions that felt human to many users by exploiting human sense-making practices. In keeping with his long-term practice of using “trouble” as a way of discovering the taken-for-granted practices of human sense-making, Garfinkel designed scripts for ELIZA and LYRIC that he could disrupt in order to reveal how their success depended on human social practices. Hence, the announcement “Machine Down” by the chatbot was a desired result of Garfinkel’s interactions with it. This early (but largely unknown) research has implications not only for understanding contemporary AI chatbots, but also opens possibilities for respecifying current information systems design and computational practices to provide for the design of more flexible information objects.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
上官亦悠完成签到,获得积分10
刚刚
zxz发布了新的文献求助10
1秒前
华仔的应助被xjl采纳,获得10
1秒前
科研通AI6.4的应助被wwwjh采纳,获得10
2秒前
丘比特的应助被lfl采纳,获得10
2秒前
领导范儿的应助被某某采纳,获得10
3秒前
...完成签到,获得积分10
3秒前
rainheart完成签到 ,获得积分10
4秒前
7秒前
科研通AI6.2的应助被wwwjh采纳,获得30
10秒前
AAA完成签到,获得积分10
11秒前
11秒前
羽宇完成签到,获得积分10
13秒前
13秒前
14秒前
numerous完成签到,获得积分10
14秒前
14秒前
14秒前
lqm发布了新的文献求助10
16秒前
16秒前
lizhongxin发布了新的文献求助10
16秒前
zz完成签到,获得积分10
17秒前
科研通AI6.2的应助被nihao采纳,获得10
17秒前
隐形曼青的应助被雪花飞剪采纳,获得10
18秒前
xjl发布了新的文献求助10
19秒前
19秒前
22秒前
molihuakai的应助被热心市民小杨采纳,获得10
22秒前
1233完成签到 ,获得积分10
23秒前
23秒前
cdercder的应助被Xu0225采纳,获得10
23秒前
你们才来完成签到,获得积分10
24秒前
暴君jie的应助被zzx采纳,获得10
25秒前
唐总发布了新的文献求助10
25秒前
彭于晏的应助被lizhongxin采纳,获得10
25秒前
mxiangy发布了新的文献求助80
25秒前
26秒前
过冷风完成签到,获得积分10
26秒前
26秒前
陈凯鸿发布了新的文献求助10
27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
Rosenblum, Global Change Biology 800
自動車の空力技術 800
Organizational Behavior 510
Management and the Arts 510
Issues in Task-Based Language Teaching 500
Geschichtliche Grundbegriffe (GGB), Band 5: Pro–Soz 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7789526
求助须知:如何正确求助?哪些是违规求助? 9327189
关于积分的说明 20416462
捐赠科研通 7378824
什么是DOI,文献DOI怎么找? 3322800
关于科研通互助平台的介绍 2470726
邀请新用户注册赠送积分活动 2339615