Foraging in multi-list recommender interfaces: the effects of digital nudges and aging

IF 5.1 2区计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS

International Journal of Human-Computer Studies Pub Date : 2025-07-24 DOI:10.1016/j.ijhcs.2025.103588

Radosław Nielek , Klara Rydzewska , Grzegorz Sędek , Adam Wierzbicki

{"title":"Foraging in multi-list recommender interfaces: the effects of digital nudges and aging","authors":"Radosław Nielek , Klara Rydzewska , Grzegorz Sędek , Adam Wierzbicki","doi":"10.1016/j.ijhcs.2025.103588","DOIUrl":null,"url":null,"abstract":"<div><div>User interfaces composed of multiple carousels (Multi-List Recommender Interfaces, MLRIs) are today’s standard for recommender systems used in e-commerce and streaming or music platforms. User behavior in such systems can be compared to foraging, a research paradigm used in the natural sciences and psychology. Research on foraging points out several hypotheses that can apply to MLRI users. Results from the psychology of aging point out possible limitations of older adults in the use of MLRIs. We verify this hypothesis in an experiment that measures users’ objective performance (<em>N</em> = 441). The experiment results confirm that older users are less effective in a task of searching for products in a MLRI interface. We propose an improvement of the carousel interface through a digital nudge that aims to prompt a user to leave a carousel that does not contain items matching the user’s preferences, and switch to another carousel. Our experimental results confirm the effectiveness of the proposed digital nudge in increasing the performance of both older and younger users.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"203 ","pages":"Article 103588"},"PeriodicalIF":5.1000,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Human-Computer Studies","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1071581925001454","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}

引用次数: 0

Abstract

User interfaces composed of multiple carousels (Multi-List Recommender Interfaces, MLRIs) are today’s standard for recommender systems used in e-commerce and streaming or music platforms. User behavior in such systems can be compared to foraging, a research paradigm used in the natural sciences and psychology. Research on foraging points out several hypotheses that can apply to MLRI users. Results from the psychology of aging point out possible limitations of older adults in the use of MLRIs. We verify this hypothesis in an experiment that measures users’ objective performance (N = 441). The experiment results confirm that older users are less effective in a task of searching for products in a MLRI interface. We propose an improvement of the carousel interface through a digital nudge that aims to prompt a user to leave a carousel that does not contain items matching the user’s preferences, and switch to another carousel. Our experimental results confirm the effectiveness of the proposed digital nudge in increasing the performance of both older and younger users.

查看原文本刊更多论文

多列表推荐界面中的搜索：数字推动和老化的影响

由多个轮播组成的用户界面（多列表推荐界面，MLRIs）是当今电子商务和流媒体或音乐平台中使用的推荐系统的标准。这种系统中的用户行为可以比作觅食，这是自然科学和心理学中使用的一种研究范式。关于觅食的研究指出了几个适用于MLRI用户的假设。老龄化心理学的结果指出了老年人在使用mlri时可能存在的局限性。我们在测量用户客观表现的实验中验证了这一假设（N = 441）。实验结果证实，年龄较大的用户在MLRI界面中搜索产品的效率较低。我们建议通过数字轻推来改进旋转木马界面，旨在提示用户离开不包含符合用户偏好的项目的旋转木马，并切换到另一个旋转木马。我们的实验结果证实了所提出的数字推动在提高老年和年轻用户的性能方面的有效性。

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

International Journal of Human-Computer Studies 工程技术-计算机：控制论

CiteScore

11.50

自引率

5.60%

发文量

108

审稿时长

3 months

期刊介绍： The International Journal of Human-Computer Studies publishes original research over the whole spectrum of work relevant to the theory and practice of innovative interactive systems. The journal is inherently interdisciplinary, covering research in computing, artificial intelligence, psychology, linguistics, communication, design, engineering, and social organization, which is relevant to the design, analysis, evaluation and application of innovative interactive systems. Papers at the boundaries of these disciplines are especially welcome, as it is our view that interdisciplinary approaches are needed for producing theoretical insights in this complex area and for effective deployment of innovative technologies in concrete user communities. Research areas relevant to the journal include, but are not limited to: • Innovative interaction techniques • Multimodal interaction • Speech interaction • Graphic interaction • Natural language interaction • Interaction in mobile and embedded systems • Interface design and evaluation methodologies • Design and evaluation of innovative interactive systems • User interface prototyping and management systems • Ubiquitous computing • Wearable computers • Pervasive computing • Affective computing • Empirical studies of user behaviour • Empirical studies of programming and software engineering • Computer supported cooperative work • Computer mediated communication • Virtual reality • Mixed and augmented Reality • Intelligent user interfaces • Presence ...