Persuasive strategies and emotional states: towards designing personalized and emotion-adaptive persuasive systems

IF 3 3区 计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS User Modeling and User-Adapted Interaction Pub Date : 2024-03-05 DOI:10.1007/s11257-023-09390-x
Oladapo Oyebode, Darren Steeves, Rita Orji
{"title":"Persuasive strategies and emotional states: towards designing personalized and emotion-adaptive persuasive systems","authors":"Oladapo Oyebode, Darren Steeves, Rita Orji","doi":"10.1007/s11257-023-09390-x","DOIUrl":null,"url":null,"abstract":"<p>Persuasive strategies have been widely operationalized in systems or applications to motivate behaviour change across diverse domains. However, no empirical evidence exists on whether or not persuasive strategies lead to certain emotions to inform which strategies are most appropriate for delivering interventions that not only motivate users to perform target behaviour but also help to regulate their current emotional states. We conducted a large-scale study of 660 participants to investigate <i>if</i> and <i>how</i> individuals including those at different stages of change respond emotionally to persuasive strategies and <i>why</i>. Specifically, we examined the relationship between perceived effectiveness of individual strategies operationalized in a system and perceived emotional states for participants at different stages of behaviour change. Our findings established relations between perceived effectiveness of strategies and emotions elicited in individuals at distinct stages of change and that the perceived emotions vary across stages of change for different reasons. For example, the <i>reward</i> strategy is associated with positive emotion only (i.e. <i>happiness</i>) for individuals across distinct stages of change because it induces feelings of personal accomplishment, provides incentives that increase the urge to achieve more goals, and offers gamified experience. Other strategies are associated with mixed emotions. Our work links emotion theory with behaviour change theories and stages of change theory to develop practical guidelines for designing personalized and emotion-adaptive persuasive systems.</p>","PeriodicalId":49388,"journal":{"name":"User Modeling and User-Adapted Interaction","volume":"15 1","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"User Modeling and User-Adapted Interaction","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s11257-023-09390-x","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

Abstract

Persuasive strategies have been widely operationalized in systems or applications to motivate behaviour change across diverse domains. However, no empirical evidence exists on whether or not persuasive strategies lead to certain emotions to inform which strategies are most appropriate for delivering interventions that not only motivate users to perform target behaviour but also help to regulate their current emotional states. We conducted a large-scale study of 660 participants to investigate if and how individuals including those at different stages of change respond emotionally to persuasive strategies and why. Specifically, we examined the relationship between perceived effectiveness of individual strategies operationalized in a system and perceived emotional states for participants at different stages of behaviour change. Our findings established relations between perceived effectiveness of strategies and emotions elicited in individuals at distinct stages of change and that the perceived emotions vary across stages of change for different reasons. For example, the reward strategy is associated with positive emotion only (i.e. happiness) for individuals across distinct stages of change because it induces feelings of personal accomplishment, provides incentives that increase the urge to achieve more goals, and offers gamified experience. Other strategies are associated with mixed emotions. Our work links emotion theory with behaviour change theories and stages of change theory to develop practical guidelines for designing personalized and emotion-adaptive persuasive systems.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
说服策略和情绪状态:设计个性化和情绪适应型说服系统
说服策略已被广泛应用于系统或应用程序中,以激励不同领域的行为改变。然而,关于说服策略是否会导致特定情绪的实证证据尚不存在,因此无法得知哪些策略最适合用于提供干预,不仅能激励用户执行目标行为,还能帮助调节他们当前的情绪状态。我们对 660 名参与者进行了一项大规模研究,以调查个体(包括处于不同变化阶段的个体)是否以及如何对说服策略产生情绪反应,以及产生反应的原因。具体来说,我们研究了处于行为改变不同阶段的参与者对系统中可操作的个别策略的感知有效性与感知情绪状态之间的关系。我们的研究结果表明,在不同的改变阶段,策略的感知有效性与个体所激发的情绪之间存在关系,并且不同改变阶段的感知情绪因不同原因而异。例如,在不同的改变阶段,奖励策略只与个人的积极情绪(即快乐)相关,因为它能诱发个人成就感,提供激励措施以增加实现更多目标的冲动,并提供游戏化体验。其他策略则与混合情感有关。我们的工作将情感理论与行为变化理论和变化阶段理论联系起来,为设计个性化和情感适应性说服系统制定了实用指南。
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 去求助
来源期刊
User Modeling and User-Adapted Interaction
User Modeling and User-Adapted Interaction 工程技术-计算机:控制论
CiteScore
8.90
自引率
8.30%
发文量
35
审稿时长
>12 weeks
期刊介绍: User Modeling and User-Adapted Interaction provides an interdisciplinary forum for the dissemination of novel and significant original research results about interactive computer systems that can adapt themselves to their users, and on the design, use, and evaluation of user models for adaptation. The journal publishes high-quality original papers from, e.g., the following areas: acquisition and formal representation of user models; conceptual models and user stereotypes for personalization; student modeling and adaptive learning; models of groups of users; user model driven personalised information discovery and retrieval; recommender systems; adaptive user interfaces and agents; adaptation for accessibility and inclusion; generic user modeling systems and tools; interoperability of user models; personalization in areas such as; affective computing; ubiquitous and mobile computing; language based interactions; multi-modal interactions; virtual and augmented reality; social media and the Web; human-robot interaction; behaviour change interventions; personalized applications in specific domains; privacy, accountability, and security of information for personalization; responsible adaptation: fairness, accountability, explainability, transparency and control; methods for the design and evaluation of user models and adaptive systems
期刊最新文献
Hybrid music recommendation with graph neural networks AdaptUI: A Framework for the development of Adaptive User Interfaces in Smart Product-Service Systems Examining the merits of feature-specific similarity functions in the news domain using human judgments SNRBERT: session-based news recommender using BERT A deep neural network approach for fake news detection using linguistic and psychological features
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1