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基于大语言模型的产品对学生幸福感的影响:定性研究

Effects of Large Language Model-Based Offerings on the Well-Being of Students: Qualitative Study.

作者信息

Selim Rania, Basu Arunima, Anto Ailin, Foscht Thomas, Eisingerich Andreas Benedikt

机构信息

Faculty of Medicine, Imperial College London, London, United Kingdom.

Department of Marketing, University of Graz, Styria, Austria.

出版信息

JMIR Form Res. 2024 Dec 27;8:e64081. doi: 10.2196/64081.

Abstract

BACKGROUND

In recent years, the adoption of large language model (LLM) applications, such as ChatGPT, has seen a significant surge, particularly among students. These artificial intelligence-driven tools offer unprecedented access to information and conversational assistance, which is reshaping the way students engage with academic content and manage the learning process. Despite the growing prevalence of LLMs and reliance on these technologies, there remains a notable gap in qualitative in-depth research examining the emotional and psychological effects of LLMs on users' mental well-being.

OBJECTIVE

In order to address these emerging and critical issues, this study explores the role of LLM-based offerings, such as ChatGPT, in students' lives, namely, how postgraduate students use such offerings and how they make students feel, and examines the impact on students' well-being.

METHODS

To address the aims of this study, we employed an exploratory approach, using in-depth, semistructured, qualitative, face-to-face interviews with 23 users (13 female and 10 male users; mean age 23 years, SD 1.55 years) of ChatGPT-4o, who were also university students at the time (inclusion criteria). Interviewees were invited to reflect upon how they use ChatGPT, how it makes them feel, and how it may influence their lives.

RESULTS

The current findings from the exploratory qualitative interviews showed that users appreciate the functional support (8/23, 35%), escapism (8/23, 35%), and fantasy fulfillment (7/23, 30%) they receive from LLM-based offerings, such as ChatGPT, but at the same time, such usage is seen as a "double-edged sword," with respondents indicating anxiety (8/23, 35%), dependence (11/23, 48%), concerns about deskilling (12/23, 52%), and angst or pessimism about the future (11/23, 48%).

CONCLUSIONS

This study employed exploratory in-depth interviews to examine how the usage of LLM-based offerings, such as ChatGPT, makes users feel and assess the effects of using LLM-based offerings on mental well-being. The findings of this study show that students used ChatGPT to make their lives easier and felt a sense of cognitive escapism and even fantasy fulfillment, but this came at the cost of feeling anxious and pessimistic about the future.

摘要

背景

近年来,诸如ChatGPT之类的大语言模型(LLM)应用的采用率大幅飙升,尤其是在学生中。这些由人工智能驱动的工具提供了前所未有的信息获取途径和对话协助,正在重塑学生参与学术内容和管理学习过程的方式。尽管大语言模型的普及程度不断提高且人们对这些技术的依赖日益增加,但在定性深入研究大语言模型对用户心理健康的情感和心理影响方面,仍存在显著差距。

目的

为了解决这些新出现的关键问题,本研究探讨了基于大语言模型的产品(如ChatGPT)在学生生活中的作用,即研究生如何使用此类产品以及它们给学生带来的感受,并考察其对学生幸福感的影响。

方法

为实现本研究的目标,我们采用了探索性方法,对23名ChatGPT-4o用户(13名女性和10名男性用户;平均年龄23岁,标准差1.55岁)进行了深入的、半结构化的定性面对面访谈,这些用户当时也是大学生(纳入标准)。受访者被邀请反思他们如何使用ChatGPT,它给他们带来的感受,以及它可能如何影响他们的生活。

结果

探索性定性访谈的当前结果表明,用户欣赏他们从基于大语言模型的产品(如ChatGPT)中获得的功能支持(8/23,35%)、逃避现实(8/23,35%)和幻想实现(7/23,30%),但与此同时,这种使用被视为一把“双刃剑”,受访者表示存在焦虑(8/23,35%)、依赖(11/23,48%)、对技能退化的担忧(12/23,52%)以及对未来的焦虑或悲观情绪(11/23,48%)。

结论

本研究采用探索性深入访谈来考察基于大语言模型的产品(如ChatGPT)的使用如何让用户产生感受,并评估使用基于大语言模型的产品对心理健康的影响。本研究结果表明,学生使用ChatGPT是为了让生活更轻松,并感受到一种认知逃避现实甚至幻想实现的感觉,但这是以对未来感到焦虑和悲观为代价的。

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