K.P. Venkatraj
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5 records found
1
Conference paper
(2025)
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Karthikeya Puttur Venkatraj, Sophie Morosoli, Hannes Cools, Laurens Naudts, De Vreese Claes De Vreese, Natali Helberger, Pablo Cesar, Abdallah El Ali
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.
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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.
Conference paper
(2025)
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Karthikeya Puttur Venkatraj, Christina Schneegass, Gijs Huisman, Abdallah El Ali
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.
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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.
Dark Haptics
Exploring Manipulative Haptic Design in Mobile User Interfaces
Conference paper
(2025)
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Chenge Tang, Karthikeya Puttur Venkatraj, Hongbo Liu, Christina Schneegass, Gijs Huisman, Abdallah El Ali
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.
...
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.
ShareYourReality
Investigating Haptic Feedback and Agency in Virtual Avatar Co-embodiment
Conference paper
(2024)
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Karthikeya Puttur Venkatraj, Wo Meijer, Monica Perusquía-Hernández, Gijs Huisman, Abdallah El Ali
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.
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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.
Transparent AI Disclosure Obligations
Who, What, When, Where, Why, How
Conference paper
(2024)
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Abdallah El Ali, Karthikeya Puttur Venkatraj, Sophie Morosoli, Laurens Naudts, Natali Helberger, Pablo Cesar
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.
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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.