一种有趣的体验抽样方法，使用智能手表和表情包来报告情绪

IF 2.4 3区计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS

Entertainment Computing Pub Date : 2025-07-05 DOI:10.1016/j.entcom.2025.100984

Shota Watanabe , Gaku Kutsuzawa , Yoshiyuki Kobayashi , Kohei Matsumura

{"title":"一种有趣的体验抽样方法，使用智能手表和表情包来报告情绪","authors":"Shota Watanabe , Gaku Kutsuzawa , Yoshiyuki Kobayashi , Kohei Matsumura","doi":"10.1016/j.entcom.2025.100984","DOIUrl":null,"url":null,"abstract":"<div><div>Understanding daily emotional fluctuations has many benefits, and the Experience Sampling Method can be used to assess daily emotions. However, this method requires frequent reporting throughout the day, making continuous reporting difficult, and a simpler reporting method is required. Therefore, this study proposed a simple Experience Sampling Method using emojis and smartwatches in a playful way. To examine the usefulness of the proposed method, we conducted a 14-day survey on daily emotional fluctuations using the proposed method and the conventional text-based Experience Sampling Method and compared their reporting rates. The results showed that the proposed method had a significantly higher reporting rate than the conventional method. The new ESM method developed in this study can easily capture emotional fluctuations and is expected to be used for the evaluation and analysis of emotional states and user experiences in daily life.</div></div>","PeriodicalId":55997,"journal":{"name":"Entertainment Computing","volume":"55 ","pages":"Article 100984"},"PeriodicalIF":2.4000,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A playful experience sampling method to report emotions using smartwatches and emojis\",\"authors\":\"Shota Watanabe , Gaku Kutsuzawa , Yoshiyuki Kobayashi , Kohei Matsumura\",\"doi\":\"10.1016/j.entcom.2025.100984\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Understanding daily emotional fluctuations has many benefits, and the Experience Sampling Method can be used to assess daily emotions. However, this method requires frequent reporting throughout the day, making continuous reporting difficult, and a simpler reporting method is required. Therefore, this study proposed a simple Experience Sampling Method using emojis and smartwatches in a playful way. To examine the usefulness of the proposed method, we conducted a 14-day survey on daily emotional fluctuations using the proposed method and the conventional text-based Experience Sampling Method and compared their reporting rates. The results showed that the proposed method had a significantly higher reporting rate than the conventional method. The new ESM method developed in this study can easily capture emotional fluctuations and is expected to be used for the evaluation and analysis of emotional states and user experiences in daily life.</div></div>\",\"PeriodicalId\":55997,\"journal\":{\"name\":\"Entertainment Computing\",\"volume\":\"55 \",\"pages\":\"Article 100984\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2025-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Entertainment Computing\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1875952125000643\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, CYBERNETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Entertainment Computing","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1875952125000643","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}

引用次数: 0

摘要

了解日常情绪波动有很多好处，经验抽样法可以用来评估日常情绪。然而，这种方法需要全天频繁报告，使得连续报告变得困难，需要一种更简单的报告方法。因此，本研究提出了一种简单的体验抽样方法，以有趣的方式使用表情符号和智能手表。为了检验提出的方法的有效性，我们使用提出的方法和传统的基于文本的经验抽样方法对日常情绪波动进行了为期14天的调查，并比较了它们的报告率。结果表明，该方法的报告率明显高于常规方法。本研究开发的新的ESM方法可以很容易地捕捉情绪波动，有望用于日常生活中情绪状态和用户体验的评估和分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

A playful experience sampling method to report emotions using smartwatches and emojis

查看原文本刊更多论文

A playful experience sampling method to report emotions using smartwatches and emojis

Understanding daily emotional fluctuations has many benefits, and the Experience Sampling Method can be used to assess daily emotions. However, this method requires frequent reporting throughout the day, making continuous reporting difficult, and a simpler reporting method is required. Therefore, this study proposed a simple Experience Sampling Method using emojis and smartwatches in a playful way. To examine the usefulness of the proposed method, we conducted a 14-day survey on daily emotional fluctuations using the proposed method and the conventional text-based Experience Sampling Method and compared their reporting rates. The results showed that the proposed method had a significantly higher reporting rate than the conventional method. The new ESM method developed in this study can easily capture emotional fluctuations and is expected to be used for the evaluation and analysis of emotional states and user experiences in daily life.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Entertainment Computing Computer Science-Human-Computer Interaction

CiteScore

5.90

自引率

7.10%

发文量

期刊介绍： Entertainment Computing publishes original, peer-reviewed research articles and serves as a forum for stimulating and disseminating innovative research ideas, emerging technologies, empirical investigations, state-of-the-art methods and tools in all aspects of digital entertainment, new media, entertainment computing, gaming, robotics, toys and applications among researchers, engineers, social scientists, artists and practitioners. Theoretical, technical, empirical, survey articles and case studies are all appropriate to the journal.