How Lenny the bot convinces you that he is a person: Storytelling, affiliations, and alignments in multi-unit turns

IF 2.1 2区 文学 Q2 COMMUNICATION
Marc Relieu
{"title":"How Lenny the bot convinces you that he is a person: Storytelling, affiliations, and alignments in multi-unit turns","authors":"Marc Relieu","doi":"10.1177/175048132411271437","DOIUrl":null,"url":null,"abstract":"This research delves into the world of conversation analysis, focusing on the unique conversational agent, Lenny. In contrast to most modern AI-based chatbots, Lenny employs a minimalistic approach, utilizing pre-recorded turns to engage with unsolicited callers and extend interactions. The study aims to dissect how Lenny’s long turns contribute to displaying ‘his’ personhood. By analyzing Lenny’s long turn in interaction, we uncover how it consolidates Lenny’s relatable character. Through analysis of a corpus of recorded interactions, the paper highlights the role of turn design in simulating human-like interactions. Ultimately, this research offers insights into the interplay between scripted content and human understanding in live conversations.","PeriodicalId":46726,"journal":{"name":"Discourse & Communication","volume":"70 1","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Discourse & Communication","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1177/175048132411271437","RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMMUNICATION","Score":null,"Total":0}
引用次数: 0

Abstract

This research delves into the world of conversation analysis, focusing on the unique conversational agent, Lenny. In contrast to most modern AI-based chatbots, Lenny employs a minimalistic approach, utilizing pre-recorded turns to engage with unsolicited callers and extend interactions. The study aims to dissect how Lenny’s long turns contribute to displaying ‘his’ personhood. By analyzing Lenny’s long turn in interaction, we uncover how it consolidates Lenny’s relatable character. Through analysis of a corpus of recorded interactions, the paper highlights the role of turn design in simulating human-like interactions. Ultimately, this research offers insights into the interplay between scripted content and human understanding in live conversations.
机器人莱尼如何让你相信他是一个人?多单位回合中的讲故事、从属关系和结盟
本研究深入对话分析领域,重点研究独特的对话代理 Lenny。与大多数基于人工智能的现代聊天机器人相比,莱尼采用了一种简约的方法,利用预先录制的转弯与主动来电者进行互动,并延长互动时间。本研究旨在剖析莱尼的长对话如何有助于展示 "他 "的人格。通过分析莱尼在互动中的长对话,我们揭示了长对话如何巩固了莱尼的亲和力。通过分析记录互动的语料库,本文强调了转弯设计在模拟类人互动中的作用。最终,这项研究为脚本内容与人类在实时对话中的理解力之间的相互作用提供了见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Discourse & Communication
Discourse & Communication COMMUNICATION-
CiteScore
3.30
自引率
5.30%
发文量
41
期刊介绍: Discourse & Communication is an international, peer-reviewed journal that publishes articles that pay specific attention to the qualitative, discourse analytical approach to issues in communication research. Besides the classical social scientific methods in communication research, such as content analysis and frame analysis, a more explicit study of the structures of discourse (text, talk, images or multimedia messages) allows unprecedented empirical insights into the many phenomena of communication. Since contemporary discourse study is not limited to the account of "texts" or "conversation" alone, but has extended its field to the study of the cognitive, interactional, social, cultural.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信