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Institution: INGENIO

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Privacy in Human-AI Romantic Relationships: Concerns, Boundaries, and Agency

An increasing number of LLM-based applications are being developed to facilitate romantic relationships with AI partners, yet the safety and privacy risks in these partnerships remain largely underexplored. In this work, we investigate privacy in human–AI romantic relationships through an interview study (N=17), exami…

Rongjun Ma et al.Aalto University

“Create an environment that protects women, rather than selling anxiety!”: Participatory Threat Modelling with Chinese Young Women Living Alone

As more young women in China live alone, they navigate entangled privacy, security, and safety (PSS) risks across smart homes, online platforms, and public infrastructures. Drawing on six participatory threat modeling (PTM) workshops (n = 33), we present a human-centered threat model that illustrates how digitally fac…

Shijing He et al.King's College London

Privacy and Safety Experiences and Concerns of US Women Using Generative AI for Seeking Sexual and Reproductive Health Information

The rapid adoption of generative AI (GenAI) chatbots has reshaped access to sexual and reproductive health (SRH) information, particularly following the overturning of Roe v. Wade, as individuals assigned female at birth increasingly turn to online sources. However, existing research remains largely model-centered, pa…

Ina Kaleva et al.King's College London

Investigating Bystander Privacy in Chinese Smart Home Apps

Bystander privacy in smart homes has been widely studied in Western contexts, yet it remains underexplored in non-Western countries such as China. In this study, we analyze 49 Chinese smart home apps using a mixed-methods approach, including privacy policy review, UX/UI evaluation, and assessment of Apple App Store pr…

Shijing He et al.King's College London

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Scrollytelling as an Alternative Format for Privacy Policies

Privacy policies are long, complex, and rarely read, which limits their effectiveness in informed consent. We investigate scrollytelling, a scroll-driven narrative approach, as a privacy policy presentation format. We built a prototype that interleaves the full policy text with animated visuals to create a dynamic rea…

Gonzalo Gabriel Méndez et al.Polytechnic University of Valencia

Exploring the Privacy and Security Challenges Faced by Migrant Domestic Workers in Chinese Smart Homes

The growing use of smart home devices poses considerable privacy and security challenges, especially for individuals like migrant domestic workers (MDWs) who may be surveilled by their employers. This paper explores the privacy and security challenges experienced by MDWs in multi-user smart homes through in-depth semi…

Shijing He et al.King's College London

Privacy Perceptions of Custom GPTs by Users and Creators

GPTs are customized LLM apps built on OpenAI's large language model. Any individual or organization can use and create GPTs without needing programming skills. However, the rapid proliferation of over three million GPTs has raised significant privacy concerns. To explore the privacy perspectives of users and creators,…

Rongjun Ma et al.Aalto University

Healthcare Voice AI Assistants: Factors Influencing Trust and Intention to Use

Voice assistants such as Alexa, Google Assistant, and Siri, are making their way into the healthcare sector, offering a convenient way for users to access different healthcare services. Trust is a vital factor in the uptake of healthcare services, but the factors affecting trust in voice assistants used for healthcare…

Xiao Zhan et al.King's College London

Session 2b: Remote Healthcare

Transformer-Based Quantification of the Echo Chamber Effect in Online Communities

An Echo Chamber on social media refers to the environment where like-minded people hear the echo of each others' voices, opinions, or beliefs, which reinforce their own. Echo Chambers can turn social media platforms into collaborative venues that polarize and radicalize users rather than broadening their exposure to…

Vahid Ghafouri et al.IMDEA Networks Institute

Session 2e: Echo Chambers and Fake News in Focus

Preferences for AI Explanations Based on Cognitive Style and Socio-Cultural Factors

Designing AI systems with the capacity to explain their behaviour is paramount to enable human oversight, facilitate trust, promote acceptance of technology and, ultimately, empower users and improve their experience. There are, however, several challenges to explainable AI, one of which is the generation and selectio…

Hana Kopecka et al.King's College London

Session 3e: Trust and Understanding in Explainable AI

Ignorance is Bliss? The Effect of Explanations on Perceptions of Voice Assistants

Voice assistants offer a convenient and hands-free way of accessing computing in the home, but a key problem with speech as an interaction modality is how to scaffold accurate mental models of voice assistants, a task complicated by privacy and security concerns. We present the results of a survey of voice assistant u…

William Seymour et al.King's College London

Chatbots and Conversational Agents

Multiuser Privacy and Security Conflicts in the Cloud

Collaborative cloud platforms make it easier and more convenient for multiple users to work together on files (GoogleDocs, Office365) and store and share them (Dropbox, OneDrive). However, this can lead to privacy and security conflicts between the users involved, for instance when a user adds someone to a shared fold…

Eman Alhelali et al.King's College London

Legal Obligation and Ethical Best Practice: Towards Meaningful Verbal Consent for Voice Assistants

To improve user experience, Alexa now allows users to consent to data sharing via voice rather than directing them to the companion smartphone app. While verbal consent mechanisms for voice assistants (VAs) can increase usability, they can also undermine principles core to informed consent. We conducted a Delphi study…

William Seymour et al.King's College London

When Forcing Collaboration is the Most Sensible Choice: Desirability of Precautionary and Dissuasive Mechanisms to Manage Multiparty Privacy Conflicts

Individuals share increasing amounts of personal multimedia data, exposing themselves (uploaders) as well as others (data subjects). Non-consensual sharing of multimedia data that depicts others raises so-called multiparty privacy conflicts (MPCs), which can have severe consequences. To limit the incidence of MPCs, a…

Mauro Cherubini et al.University of Lausanne

Privacy and Security

Privacy Norms for Smart Home Personal Assistants

Smart Home Personal Assistants (SPA) have a complex ecosystem that enables them to carry out various tasks on behalf of the user with just voice commands. SPA capabilities are continually growing, with over a hundred thousand third-party skills in Amazon Alexa, covering several categories, from tasks within the home (…

Noura Abdi et al.King's College London

Truth or Dare: Understanding and Predicting How Users Lie and Provide Untruthful Data Online

Individuals are known to lie and/or provide untruthful data when providing information online as a way to protect their privacy. Prior studies have attempted to explain when and why individuals lie online. However, no work has examined into how people lie online, i.e. the specific strategies they follow to provide unt…

Kopo M. Ramokapane et al.University of Bristol

Paper Title	Authors	Research Topics
Privacy in Human-AI Romantic Relationships: Concerns, Boundaries, and Agency An increasing number of LLM-based applications are being developed to facilitate romantic relationships with AI partners, yet the safety and privacy risks in these partnerships remain largely underexplored. In this work, we investigate privacy in human–AI romantic relationships through an interview study (N=17), exami…	RM Rongjun Ma et al.Aalto University
“Create an environment that protects women, rather than selling anxiety!”: Participatory Threat Modelling with Chinese Young Women Living Alone As more young women in China live alone, they navigate entangled privacy, security, and safety (PSS) risks across smart homes, online platforms, and public infrastructures. Drawing on six participatory threat modeling (PTM) workshops (n = 33), we present a human-centered threat model that illustrates how digitally fac…	SH Shijing He et al.King's College London
Privacy and Safety Experiences and Concerns of US Women Using Generative AI for Seeking Sexual and Reproductive Health Information The rapid adoption of generative AI (GenAI) chatbots has reshaped access to sexual and reproductive health (SRH) information, particularly following the overturning of Roe v. Wade, as individuals assigned female at birth increasingly turn to online sources. However, existing research remains largely model-centered, pa…	IK Ina Kaleva et al.King's College London
Investigating Bystander Privacy in Chinese Smart Home Apps Bystander privacy in smart homes has been widely studied in Western contexts, yet it remains underexplored in non-Western countries such as China. In this study, we analyze 49 Chinese smart home apps using a mixed-methods approach, including privacy policy review, UX/UI evaluation, and assessment of Apple App Store pr…	SH Shijing He et al.King's College London
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
Scrollytelling as an Alternative Format for Privacy Policies Privacy policies are long, complex, and rarely read, which limits their effectiveness in informed consent. We investigate scrollytelling, a scroll-driven narrative approach, as a privacy policy presentation format. We built a prototype that interleaves the full policy text with animated visuals to create a dynamic rea…	GM Gonzalo Gabriel Méndez et al.Polytechnic University of Valencia
Exploring the Privacy and Security Challenges Faced by Migrant Domestic Workers in Chinese Smart Homes The growing use of smart home devices poses considerable privacy and security challenges, especially for individuals like migrant domestic workers (MDWs) who may be surveilled by their employers. This paper explores the privacy and security challenges experienced by MDWs in multi-user smart homes through in-depth semi…	SH Shijing He et al.King's College London
Privacy Perceptions of Custom GPTs by Users and Creators GPTs are customized LLM apps built on OpenAI's large language model. Any individual or organization can use and create GPTs without needing programming skills. However, the rapid proliferation of over three million GPTs has raised significant privacy concerns. To explore the privacy perspectives of users and creators,…	RM Rongjun Ma et al.Aalto University
Healthcare Voice AI Assistants: Factors Influencing Trust and Intention to Use Voice assistants such as Alexa, Google Assistant, and Siri, are making their way into the healthcare sector, offering a convenient way for users to access different healthcare services. Trust is a vital factor in the uptake of healthcare services, but the factors affecting trust in voice assistants used for healthcare…	XZ Xiao Zhan et al.King's College London	Session 2b: Remote Healthcare
Transformer-Based Quantification of the Echo Chamber Effect in Online Communities An Echo Chamber on social media refers to the environment where like-minded people hear the echo of each others' voices, opinions, or beliefs, which reinforce their own. Echo Chambers can turn social media platforms into collaborative venues that polarize and radicalize users rather than broadening their exposure to…	VG Vahid Ghafouri et al.IMDEA Networks Institute	Session 2e: Echo Chambers and Fake News in Focus
Preferences for AI Explanations Based on Cognitive Style and Socio-Cultural Factors Designing AI systems with the capacity to explain their behaviour is paramount to enable human oversight, facilitate trust, promote acceptance of technology and, ultimately, empower users and improve their experience. There are, however, several challenges to explainable AI, one of which is the generation and selectio…	HK Hana Kopecka et al.King's College London	Session 3e: Trust and Understanding in Explainable AI
Ignorance is Bliss? The Effect of Explanations on Perceptions of Voice Assistants Voice assistants offer a convenient and hands-free way of accessing computing in the home, but a key problem with speech as an interaction modality is how to scaffold accurate mental models of voice assistants, a task complicated by privacy and security concerns. We present the results of a survey of voice assistant u…	WS William Seymour et al.King's College London	Chatbots and Conversational Agents
Multiuser Privacy and Security Conflicts in the Cloud Collaborative cloud platforms make it easier and more convenient for multiple users to work together on files (GoogleDocs, Office365) and store and share them (Dropbox, OneDrive). However, this can lead to privacy and security conflicts between the users involved, for instance when a user adds someone to a shared fold…	EA Eman Alhelali et al.King's College London
Legal Obligation and Ethical Best Practice: Towards Meaningful Verbal Consent for Voice Assistants To improve user experience, Alexa now allows users to consent to data sharing via voice rather than directing them to the companion smartphone app. While verbal consent mechanisms for voice assistants (VAs) can increase usability, they can also undermine principles core to informed consent. We conducted a Delphi study…	WS William Seymour et al.King's College London
When Forcing Collaboration is the Most Sensible Choice: Desirability of Precautionary and Dissuasive Mechanisms to Manage Multiparty Privacy Conflicts Individuals share increasing amounts of personal multimedia data, exposing themselves (uploaders) as well as others (data subjects). Non-consensual sharing of multimedia data that depicts others raises so-called multiparty privacy conflicts (MPCs), which can have severe consequences. To limit the incidence of MPCs, a…	MC Mauro Cherubini et al.University of Lausanne	Privacy and Security
Privacy Norms for Smart Home Personal Assistants Smart Home Personal Assistants (SPA) have a complex ecosystem that enables them to carry out various tasks on behalf of the user with just voice commands. SPA capabilities are continually growing, with over a hundred thousand third-party skills in Amazon Alexa, covering several categories, from tasks within the home (…	NA Noura Abdi et al.King's College London
Truth or Dare: Understanding and Predicting How Users Lie and Provide Untruthful Data Online Individuals are known to lie and/or provide untruthful data when providing information online as a way to protect their privacy. Prior studies have attempted to explain when and why individuals lie online. However, no work has examined into how people lie online, i.e. the specific strategies they follow to provide unt…	KR Kopo M. Ramokapane et al.University of Bristol