智能植入技术的心智模型:初始信息和标记作用的主题建模方法。

IF 3 3区 医学 Q1 COMMUNICATION
Charlotte Schrimpff, Elena Link, Tanja Fisse, Eva Baumann, Christoph Klimmt
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引用次数: 0

摘要

公众对智能技术等医疗创新的理解对其接受和实施具有决定性作用。因此,了解人们基于诸如标签之类的初始信息开发的技术愿景是很重要的。我们以智能植入物为例,对47名前植入物患者进行了定性访谈,通过小短文记录他们接触智能植入物后的心理模型。他们的回答使用LDA主题建模进行分析。我们衍生了五个主题,描述了考虑到技术的功能,(dis)优势以及潜在的好处和风险的人们的心理模型。这些话题表明,我们的受访者经常将智能植入物的想法与人工智能联系起来,这是对引入概念化的误解。因此,在宣传工作中必须特别注意该技术的标签,以确保充分的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mental Models of Smart Implant Technology: A Topic Modeling Approach to the Role of Initial Information and Labeling.

Public understanding of medical innovations such as smart technology is decisive for its acceptance and implementation. Thus, it is important to understand what visions people develop of a technology based on initial information such as the label. We chose smart implants as an example and conducted qualitative interviews with 47 former implant patients to record their mental models after exposing them to the idea of smart implants through a vignette. Their answers were analyzed using LDA topic modeling. We derived five topics describing people's mental models considering the technology's functionalities, (dis)advantages as well as potential benefits and risks. The topics revealed that our respondents have often associated the idea of smart implants with artificial intelligence, which is a misconception regarding the introduced conceptualization. Thus, special attention has to be paid to the technology's labeling in communication efforts to ensure adequate understanding.

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来源期刊
CiteScore
8.20
自引率
10.30%
发文量
184
期刊介绍: As an outlet for scholarly intercourse between medical and social sciences, this noteworthy journal seeks to improve practical communication between caregivers and patients and between institutions and the public. Outstanding editorial board members and contributors from both medical and social science arenas collaborate to meet the challenges inherent in this goal. Although most inclusions are data-based, the journal also publishes pedagogical, methodological, theoretical, and applied articles using both quantitative or qualitative methods.
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