Deceptive patterns in visual interfaces - subtle nudges that persuade or manipulate users to take a certain action - have been researched extensively. Yet, little is known about how these patterns can be translated to the other human senses and what other forms of deception could be implemented for them. This meet-up aims to bring together researchers and practitioners with an interest in studying multi-sensory manipulative interface design, exploring how deceptive patterns for touch, sound, taste, and smell, but also lesser-known senses such as balance, pain, or interoception, can be created, embedded, and mitigated in and with current and future technologies. By facilitating the discussion of potential opportunities and risks across senses, we want to foster new collaborations to advance the field of responsible multisensory deceptive pattern research. In the long term, we hope to raise awareness of potential threats before they arise so we can better safeguard end users. ... Read more

As artificial intelligence (AI) is increasingly integrated into news production, calls for transparency about the use of AI have gained considerable traction. Recent studies suggest that AI disclosures can lead to a "transparency dilemma", where disclosure reduces readers' trust. However, little is known about how the level of detail in AI disclosures influences trust and contributes to this dilemma within the news context. In this 3×2×2 mixed factorial study with 40 participants, we investigate how three levels of AI disclosures (none, one-line, detailed) across two types of news (politics and lifestyle) and two levels of AI involvement (low and high) affect news readers' trust. We measured trust using the News Media Trust questionnaire, along with two decision behaviors: source-checking and subscription decisions. Questionnaire responses and subscription rates showed a decline in trust only for detailed AI disclosures, whereas source-checking behavior increased for both one-line and detailed disclosures, with the effect being more pronounced for detailed disclosures. Insights from semi-structured interviews suggest that source-checking behavior was primarily driven by interest in the topic, followed by trust, whereas trust was the main factor influencing subscription decisions. Around two-thirds of participants expressed a preference for detailed disclosures, while most participants who preferred one-line indicated a need for detail-on-demand disclosure formats. Our findings show that not all AI disclosures lead to a transparency dilemma, but instead reflect a trade-off between readers' desire for more transparency and their trust in AI-assisted news content. ... Read more

We demonstrate the manipulative potential of haptics (‘Dark Haptics’) for the future of advertising in eXtended Reality (XR). Our demonstration showcases two haptic and one pseudo-haptic interactions as a XR-based advertising strategy that can subtly manipulate user actions in this dark future of advertising work. Developed in Unreal Engine 5.5 for the Meta Quest 3, this single-user Virtual Reality experience presents an initial exploration of the manipulative qualities of haptics design that can be exploited within immersive environments. By highlighting these dark design patterns, our demonstration aims to raise awareness and initiate discussion around the ethical implications of haptic feedback for the future of work in immersive environments, particularly within advertising. Our work lays the groundwork for future research and development of tools to mitigate the potential harms and risks of dark haptics as immersive technologies become more integrated into professional and commercial environments. ... Read more

Artificial Intelligence (AI) is revolutionizing the way content is produced and integrated into journalistic workflows. The EU AI act's Article 50 sets up transparency requirements aimed at encouraging the adoption and disclosure of AI in an ethical and responsible manner. In this study, we organized focus group interviews with Dutch citizens (N=21) to understand their expectations and needs regarding AI disclosures in the context of news production and journalism. These conversations are essential to understand if legal and regulatory policies are grounded in real-world experiences of citizens, and adequately address their concerns and enhance their digital interactions. We found that citizens predominantly favor disclosures of AI usage in journalistic content, in the form of (1) source references, (2) visual indicators (logos/watermarks) and (3) have varying preferences regarding information presentation and interaction modalities. Our findings highlight the need for interdisciplinary approaches to align standardization efforts with AI disclosures for news media. ... Read more

Mobile user interfaces abundantly feature so-called ‘dark patterns’. These deceptive design practices manipulate users’ decision making to profit online service providers. While past research on dark patterns mainly focus on visual design, other sensory modalities such as audio and touch remain largely unexplored. In this early work, we investigate the manipulative side of haptics, which we term as ‘Dark Haptics’, as a strategy to manipulate users. We designed a study to empirically showcase the potential of using a dark haptic pattern in a mobile device to manipulate user actions in a survey. Our findings indicate that our dark haptic design successfully influenced participants to forego their privacy after experiencing an alarming feedback for rejecting intrusive requests in the survey. As a first exploration of manipulative qualities of dark haptic designs, we attempt to lay the groundwork for future research and tools to mitigate harms and risks of dark haptics. ... Read more

Virtual co-embodiment enables two users to share a single avatar in Virtual Reality (VR). During such experiences, the illusion of shared motion control can break during joint-action activities, highlighting the need for position-aware feedback mechanisms. Drawing on the perceptual crossing paradigm, we explore how haptics can enable non-verbal coordination between co-embodied participants. In a within-subjects study (20 participant pairs), we examined the effects of vibrotactile haptic feedback (None, Present) and avatar control distribution (25-75%, 50-50%, 75-25%) across two VR reaching tasks (Targeted, Free-choice) on participants’ Sense of Agency (SoA), co-presence, body ownership, and motion synchrony. We found (a) lower SoA in the free-choice with haptics than without, (b) higher SoA during the shared targeted task, (c) co-presence and body ownership were significantly higher in the free-choice task, (d) players’ hand motions synchronized more in the targeted task. We provide cautionary considerations when including haptic feedback mechanisms for avatar co-embodiment experiences. ... Read more

Advances in Generative Artificial Intelligence (AI) are resulting in AI-generated media output that is (nearly) indistinguishable from human-created content. This can drastically impact users and the media sector, especially given global risks of misinformation. While the currently discussed European AI Act aims at addressing these risks through Article 52's AI transparency obligations, its interpretation and implications remain unclear. In this early work, we adopt a participatory AI approach to derive key questions based on Article 52's disclosure obligations. We ran two workshops with researchers, designers, and engineers across disciplines (N=16), where participants deconstructed Article 52's relevant clauses using the 5W1H framework. We contribute a set of 149 questions clustered into five themes and 18 sub-themes. We believe these can not only help inform future legal developments and interpretations of Article 52, but also provide a starting point for Human-Computer Interaction research to (re-)examine disclosure transparency from a human-centered AI lens. ... Read more