15.04.2023

Teaser image to

MCML Researchers With Four Papers at CHI 2023

Conference on Human Factors in Computing Systems (CHI 2023). Hamburg, Germany, 23.04.2023–28.04.2023

We are happy to announce that MCML researchers are represented with four papers at CHI 2023. Congrats to our researchers!

Main Track (4 papers)

N. Pröllochs and S. Feuerriegel.
Mechanisms of True and False Rumor Sharing in Social Media: Collective Intelligence or Herd Behavior?
CHI 2023 - Conference on Human Factors in Computing Systems. Hamburg, Germany, Apr 23-28, 2023. DOI
Abstract

Social media platforms disseminate extensive volumes of online content, including true and, in particular, false rumors. Previous literature has studied the diffusion of offline rumors, yet more research is needed to understand the diffusion of online rumors. In this paper, we examine the role of lifetime and crowd effects in social media sharing behavior for true vs. false rumors. Based on 126,301 Twitter cascades, we find that the sharing behavior is characterized by lifetime and crowd effects that explain differences in the spread of true as opposed to false rumors. All else equal, we find that a longer lifetime is associated with less sharing activities, yet the reduction in sharing is larger for false than for true rumors. Hence, lifetime is an important determinant explaining why false rumors die out. Furthermore, we find that the spread of false rumors is characterized by herding tendencies (rather than collective intelligence), whereby the spread of false rumors becomes proliferated at a larger cascade depth. These findings explain differences in the diffusion dynamics of true and false rumors and further offer practical implications for social media platforms.

MCML Authors
Link to Profile Stefan Feuerriegel

Stefan Feuerriegel

Prof. Dr.

Artificial Intelligence in Management


M. Rusu and S. Mayer.
Deep Learning Super-Resolution Network Facilitating Fiducial Tangibles on Capacitive Touchscreens.
CHI 2023 - Conference on Human Factors in Computing Systems. Hamburg, Germany, Apr 23-28, 2023. DOI
Abstract

Over the last few years, we have seen many approaches using tangibles to address the limited expressiveness of touchscreens. Mainstream tangible detection uses fiducial markers embedded in the tangibles. However, the coarse sensor size of capacitive touchscreens makes tangibles bulky, limiting their usefulness. We propose a novel deep-learning super-resolution network to facilitate fiducial tangibles on capacitive touchscreens better. In detail, our network super-resolves the markers enabling off-the-shelf detection algorithms to track tangibles reliably. Our network generalizes to unseen marker sets, such as AprilTag, ArUco, and ARToolKit. Therefore, we are not limited to a fixed number of distinguishable objects and do not require data collection and network training for new fiducial markers. With extensive evaluation, including real-world users and five showcases, we demonstrate the applicability of our open-source approach on commodity mobile devices and further highlight the potential of tangibles on capacitive touchscreens.

MCML Authors
Sven Mayer

Sven Mayer

Prof. Dr.

* Former Principal Investigator


M. Windl, A. Schmidt and S. S. Feger.
Investigating Tangible Privacy-Preserving Mechanisms for Future Smart Homes.
CHI 2023 - Conference on Human Factors in Computing Systems. Hamburg, Germany, Apr 23-28, 2023. DOI
Abstract

Most smart home devices have multiple sensors, such as cameras and microphones; however, most cannot be controlled individually. Tangible privacy mechanisms provide control over individual sensors and instill high certainty of privacy. Yet, it remains unclear how they can be used in future smart homes. We conducted three studies to understand how tangible privacy mechanisms scale across multiple devices and respond to user needs. First, we conducted a focus group (N=8) on speculative tangible control artifacts to understand the user perspective. Second, we ran a workshop at a human-computer interaction conference (N=8) on tangible privacy. Third, we conducted a six-week in-the-wild study with a tangible, static privacy dashboard across six households. Our findings help to contrast the need for tangible privacy mechanisms on the sensor level with user needs on a smart home level. Finally, we discuss our design implications for future smart homes through the lens of inclusive privacy.

MCML Authors
Link to website

Maximiliane Windl

Human-Centered Ubiquitous Media

Link to Profile Albrecht Schmidt

Albrecht Schmidt

Prof. Dr.

Human-Centered Ubiquitous Media


M. Windl, V. Winterhalter, A. Schmidt and S. Mayer.
Understanding and Mitigating Technology-Facilitated Privacy Violations in the Physical World.
CHI 2023 - Conference on Human Factors in Computing Systems. Hamburg, Germany, Apr 23-28, 2023. DOI
Abstract

We are constantly surrounded by technology that collects and processes sensitive data, paving the way for privacy violations. Yet, current research investigating technology-facilitated privacy violations in the physical world is scattered and focused on specific scenarios or investigates such violations purely from an expert’s perspective. Informed through a large-scale online survey, we first construct a scenario taxonomy based on user-experienced privacy violations in the physical world through technology. We then validate our taxonomy and establish mitigation strategies using interviews and co-design sessions with privacy and security experts. In summary, this work contributes (1) a refined scenario taxonomy for technology-facilitated privacy violations in the physical world, (2) an understanding of how privacy violations manifest in the physical world, (3) a decision tree on how to inform users, and (4) a design space to create notices whenever adequate. With this, we contribute a conceptual framework to enable a privacy-preserving technology-connected world.

MCML Authors
Link to website

Maximiliane Windl

Human-Centered Ubiquitous Media

Link to Profile Albrecht Schmidt

Albrecht Schmidt

Prof. Dr.

Human-Centered Ubiquitous Media


15.04.2023


Subscribe to RSS News feed

Related

Link to AI for Personalized Psychiatry - with researcher Clara Vetter

01.09.2025

AI for Personalized Psychiatry - With Researcher Clara Vetter

AI research by Clara Vetter uses brain, genetic and smartphone data to personalize psychiatry and improve diagnosis and treatment.

Link to Satellite Insights for a Sustainable Future - with researcher Ivica Obadic

25.08.2025

Satellite Insights for a Sustainable Future - With Researcher Ivica Obadic

AI from satellite imagery helps design livable cities, improve well-being & food systems with transparent models by Ivica Obadić.

Link to Mingyang Wang receives Award at ACL 2025

18.08.2025

Mingyang Wang Receives Award at ACL 2025

MCML Junior Member Mingyang Wang wins SAC Highlights Award at ACL 2025 for research on cross-lingual consistency in language models.

Link to Digital Twins for Surgery - with researcher Azade Farshad

18.08.2025

Digital Twins for Surgery - With Researcher Azade Farshad

Azade Farshad develops patient digital twins at TUM & MCML to improve personalized treatment, surgical planning, and training.

Link to From Physics Dreams to Algorithm Discovery - with Niki Kilbertus

13.08.2025

From Physics Dreams to Algorithm Discovery - With Niki Kilbertus

Niki Kilbertus develops AI algorithms to uncover cause and effect, making science smarter and decisions in fields like medicine more reliable.