Tailoring Digital Privacy Education Interventions for Older Adults: A Comparative Study on Modality Preferences and Effectiveness

Author:

Aly Heba1,Liu Yizhou1,Ghaiumy Anaraky Reza2,Khan Sushmita1,Namara Moses1,Angela Byrne Kaileigh1,Knijnenburg Bart1

Affiliation:

1. Clemson University

2. New York University

Abstract

Although older adults are increasingly adopting digital social technologies, a lack of knowledge and experience makes them vulnerable to digital privacy and security threats. It is, therefore, crucial to build digital privacy education interventions that empower older adults to take more control over their digital privacy. Most tutorials and support materials are designed for the younger generations and are not necessarily as effective for the older population. In this paper, we explore the development of education interventions suited to the learning styles of the older adult population. We particularly develop interventions that span a variety of modalities (text, videos, audio presentations, infographics, comics, interactive tutorials, and chatbots) and evaluate these interventions in a focus group study, gathering feedback from both older and younger adults regarding the education interventions and how to improve them. Our findings demonstrate that there are distinct differences in modality preferences between older and younger adults. In this paper, we discuss our findings and contribute to the development of digital privacy education interventions that are tailored to the specific needs and preferences of older adults.

Publisher

Privacy Enhancing Technologies Symposium Advisory Board

Subject

General Medicine

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhancing Digital Privacy Education for Older Adults;Companion Proceedings of the 29th International Conference on Intelligent User Interfaces;2024-03-18

2. Perceived Trustworthiness of Human vs. AI Instructors in Digital Privacy Education for Older Adults;Companion Proceedings of the 29th International Conference on Intelligent User Interfaces;2024-03-18

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3