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Author: 10408

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Principles of Safe AI Companions for Youth: Parent and Expert Perspectives

AI companions are increasingly popular among teenagers, yet current platforms lack safeguards to address developmental risks and harmful normalization. Despite growing concerns, little is known about how parents and developmental psychology experts assess these interactions or what protections they consider necessary.…

Yaman Yu et al.University of Illinois

Evaluating the Privacy Valuation of Personal Data on Smartphones

Fan 等人研究智能手机用户对个人数据隐私的价值评估问题。

Lihua Fan et al.Tsinghua University

"Don't put all your eggs in one basket": How Cryptocurrency Users Choose and Secure Their Wallets

Cryptocurrency wallets come in various forms, each with unique usability and security features. Through interviews with 24 users, we explore reasons for selecting wallets in different contexts. Participants opt for smart contract wallets to simplify key management, leveraging social interactions. However, they prefer…

Yaman Yu et al.University of Illinois

“I Can’t Believe It’s Not Custodial!”: Usable Trustless Decentralized Key Management

Key management has long remained a difficult unsolved problem in the field of usable security. While password-based key derivation functions (PBKDFs) are widely used to solve this problem in centralized applications, their low entropy and lack of a recovery mechanism make them unsuitable for use in decentralized conte…

Tanusree Sharma et al.University of Illinois

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Designing Accessible Obfuscation Support for Blind Individuals’ Visual Privacy Management

Blind individuals commonly share photos in everyday life. Despite substantial interest from the blind community in being able to independently obfuscate private information in photos, existing tools are designed without their inputs. In this study, we prototyped a preliminary screen reader-accessible obfuscation inter…

Lotus Zhang et al.University Of Washington

SEAM-EZ: Simplifying Stateful Analytics through Visual Programming

Across many domains (e.g., media/entertainment, mobile apps, finance, IoT, cybersecurity), there is a growing need for stateful analytics over streams of events to meet key business outcomes. Stateful analytics over event streams entails carefully modeling the sequence, timing, and contextual correlations of events to…

Zhengyan Yu et al.Parkview Health

User Perceptions and Experiences of Targeted Ads on Social Media Platforms: Learning from Bangladesh and India

While people's perceptions of targeted ads have been studied extensively from a Western perspective (e.g., North America, Europe), we know little about users’ perceptions in the South Asian region. We interviewed 40 participants from two South Asian countries, Bangladesh and India, to explore their perceptions and pra…

Tanusree Sharma et al.University of Illinois

Disability-First Design and Creation of A Dataset Showing Private Visual Information Collected With People Who Are Blind

We present the design and creation of a disability-first dataset, “BIV-Priv,” which contains 728 images and 728 videos of 14 private categories captured by 26 blind participants to support downstream development of artificial intelligence (AI) models. While best practices in dataset creation typically attempt to elimi…

Tanusree Sharma et al.University of Illinois

Privacy Perceptions and Designs of Bystanders in Smart Homes

As the Internet of Things (IoT) devices make their ways into people's homes, traditional dwellings are turning into smart homes. While prior empirical studies have examined people's privacy concerns of smart homes and their desired ways of mitigating these concerns, the focus was primarily on the end users or device o…

Yaxing Yao et al.Johns Hopkins University

Homes

Defending My Castle: A Co-Design Study of Privacy Mechanisms for Smart Homes

Home is a person's castle, a private and protected space. Internet-connected devices such as locks, cameras, and speakers might make a home "smarter" but also raise privacy issues because these devices may constantly and inconspicuously collect, infer or even share information about people in the home. To explore user…

Yaxing Yao et al.Johns Hopkins University

Workshop: Privacy in Context: Critically Engaging Theories to Guide Privacy Research ...

Privacy has been a key research theme in the CSCW and HCI communities, but the term is often used in an ad hoc and fragmented way. This is likely due to the fact that privacy is a complex and multi-faceted concept. This one-day workshop will facilitate discourse around key privacy theories and frameworks that can info…

Karla Badillo-Urquiola et al.University of Central Florida

Workshop: Privacy in Context: Critically Engaging Theories to Guide Privacy Research ...

Paper Title	Authors	Research Topics
Principles of Safe AI Companions for Youth: Parent and Expert Perspectives AI companions are increasingly popular among teenagers, yet current platforms lack safeguards to address developmental risks and harmful normalization. Despite growing concerns, little is known about how parents and developmental psychology experts assess these interactions or what protections they consider necessary.…	YY Yaman Yu et al.University of Illinois
Evaluating the Privacy Valuation of Personal Data on Smartphones Fan 等人研究智能手机用户对个人数据隐私的价值评估问题。	LF Lihua Fan et al.Tsinghua University
emoji_events "Don't put all your eggs in one basket": How Cryptocurrency Users Choose and Secure Their Wallets Cryptocurrency wallets come in various forms, each with unique usability and security features. Through interviews with 24 users, we explore reasons for selecting wallets in different contexts. Participants opt for smart contract wallets to simplify key management, leveraging social interactions. However, they prefer…	YY Yaman Yu et al.University of Illinois
emoji_events “I Can’t Believe It’s Not Custodial!”: Usable Trustless Decentralized Key Management Key management has long remained a difficult unsolved problem in the field of usable security. While password-based key derivation functions (PBKDFs) are widely used to solve this problem in centralized applications, their low entropy and lack of a recovery mechanism make them unsuitable for use in decentralized conte…	TS Tanusree Sharma et al.University of Illinois
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
Designing Accessible Obfuscation Support for Blind Individuals’ Visual Privacy Management Blind individuals commonly share photos in everyday life. Despite substantial interest from the blind community in being able to independently obfuscate private information in photos, existing tools are designed without their inputs. In this study, we prototyped a preliminary screen reader-accessible obfuscation inter…	LZ Lotus Zhang et al.University Of Washington
SEAM-EZ: Simplifying Stateful Analytics through Visual Programming Across many domains (e.g., media/entertainment, mobile apps, finance, IoT, cybersecurity), there is a growing need for stateful analytics over streams of events to meet key business outcomes. Stateful analytics over event streams entails carefully modeling the sequence, timing, and contextual correlations of events to…	ZY Zhengyan Yu et al.Parkview Health
User Perceptions and Experiences of Targeted Ads on Social Media Platforms: Learning from Bangladesh and India While people's perceptions of targeted ads have been studied extensively from a Western perspective (e.g., North America, Europe), we know little about users’ perceptions in the South Asian region. We interviewed 40 participants from two South Asian countries, Bangladesh and India, to explore their perceptions and pra…	TS Tanusree Sharma et al.University of Illinois
Disability-First Design and Creation of A Dataset Showing Private Visual Information Collected With People Who Are Blind We present the design and creation of a disability-first dataset, “BIV-Priv,” which contains 728 images and 728 videos of 14 private categories captured by 26 blind participants to support downstream development of artificial intelligence (AI) models. While best practices in dataset creation typically attempt to elimi…	TS Tanusree Sharma et al.University of Illinois
emoji_events Privacy Perceptions and Designs of Bystanders in Smart Homes As the Internet of Things (IoT) devices make their ways into people's homes, traditional dwellings are turning into smart homes. While prior empirical studies have examined people's privacy concerns of smart homes and their desired ways of mitigating these concerns, the focus was primarily on the end users or device o…	YY Yaxing Yao et al.Johns Hopkins University	Homes
Defending My Castle: A Co-Design Study of Privacy Mechanisms for Smart Homes Home is a person's castle, a private and protected space. Internet-connected devices such as locks, cameras, and speakers might make a home "smarter" but also raise privacy issues because these devices may constantly and inconspicuously collect, infer or even share information about people in the home. To explore user…	YY Yaxing Yao et al.Johns Hopkins University
Workshop: Privacy in Context: Critically Engaging Theories to Guide Privacy Research ... Privacy has been a key research theme in the CSCW and HCI communities, but the term is often used in an ad hoc and fragmented way. This is likely due to the fact that privacy is a complex and multi-faceted concept. This one-day workshop will facilitate discourse around key privacy theories and frameworks that can info…	KB Karla Badillo-Urquiola et al.University of Central Florida	Workshop: Privacy in Context: Critically Engaging Theories to Guide Privacy Research ...