Figure 1: In our study, children (top) and adolescents (bottom) redesigned fair versions of three diferent dialogs that originally asked users to accept notifcations (left), to accept cookies (center), or to watch an ad to continue playing (right).We asked participants to nudge users toward acceptance.Redesigns contained no option to decline (C19), visual nudging (A20), colorful designs (C25, A32), increased wait times (C10), and emotional manipulation (A11).English translations are provided in Figure 5.

Dark patterns are malicious UI design strategies that nudge users towards decisions going against their best interests. To create technical countermeasures against them, dark patterns must be automatically detectable. While researchers have devised algorithms to detect some patterns automatically, there has only been little work to use obtained results to technically counter the effects of dark patterns when users face them on their devices.

Textile surfaces, such as on sofas, cushions, and clothes, offer promising alternative locations to place controls for digital devices. Textiles are a natural, even abundant part of living spaces, and support unobtrusive input. While there is solid work on technical implementations of textile interfaces, there is little guidance regarding their design—especially their haptic cues, which are essential for eyes-free use. In particular, icons easily communicate information visually in a compact fashion, but it is unclear how to adapt them to the haptics-centric textile interface experience. Therefore, we investigated the recognizability of 84 haptic icons on fabrics. Each combines a shape, height profile (raised, recessed, or flat), and affected area (filled or outline). Our participants clearly preferred raised icons, and identified them with the highest accuracy and at competitive speeds. We also provide insights into icons that look very different, but are hard to distinguish via touch alone.

In handheld AR, users have only a small screen to see the augmented scene, making decisions about scene layout and rendering techniques crucial. Traditional device-perspective rendering (DPR) uses the device camera's full field of view, enabling fast scene exploration, but ignoring what the user sees around the device screen. In contrast, user-perspective rendering (UPR) emulates the feeling of looking through the device like a glass pane, which enhances depth perception, but severely limits the field of view in which virtual objects are displayed, impeding scene exploration and search. We introduce the notion of User-Aware Rendering. By following the principles of UPR, but pretending the device is larger than it actually is, it combines the strengths of UPR and DPR. We present two studies showing that User-Aware AR imitating a 50% larger device successfully achieves both enhanced depth perception and fast scene exploration in typical search and selection tasks.

Toolkits like the Arduino system have brought embedded programming to STEM education. However, learning embedded programming is still hard, requiring an understanding of coding, electronics, and how both sides interact. To investigate the opportunities of using a different programming paradigm than the imperative approach to learning embedded coding, we developed Flowboard . Students code in a visual iPad editor using flow-based programming , which is conceptually closer to circuit diagrams than imperative code. Two breadboards with I/O pins mirrored on the iPad connect electronics and program graph more seamlessly than existing IDEs. Program changes take effect immediately. This liveness reflects circuit behavior better than edit-compile-run loops. A first study confirmed that students can solve basic embedded programming tasks with Flowboard while highlighting important differences to a typical imperative IDE, Ardublock. A second, in-depth study provided qualitative insights into Flowboard’s impact on students’ conceptual models of electronics and embedded programming and exploring.

Textile interfaces enable designers to integrate unobtrusive media and smart home controls into furniture such as sofas. While the technical aspects of such controllers have been the subject of numerous research projects, the physical form factor of these controls has received little attention so far. This work investigates how general design properties, such as overall slider shape, raised vs. recessed sliders, and number and layout of tick marks, affect users’ preferences and performance. Our first user study identified a preference for certain design combinations, such as recessed, closed-shaped sliders. Our second user study included performance measurements on variations of the preferred designs from study 1, and took a closer look at tick marks. Tick marks supported orientation better than slider shape. Sliders with at least three tick marks were preferred, and performed well. Non-uniform, equally distributed tick marks reduced the movements users needed to orient themselves on the slider.