Fostering students’ interests in learning is considered to have many positive downstream effects. Large language models have opened up new horizons for generating content tuned to one’s interests, yet it is unclear in what ways and to what extent this customization could have positive effects on learning. To explore this novel dimension, we conducted a between-subjects online study (n=272) featuring different variations of a generative AI vocabulary learning app that enables users to personalize their learning examples. Participants were randomly assigned to control (sentence sourced from pre-existing text) or experimental conditions (generated sentence or short story based on users’ text input). While we did not observe a difference in learning performance between the conditions, the analysis revealed that generative AI-driven context personalization positively affected learning motivation. We discuss how these results relate to previous findings and underscore their significance for the emerging field of using generative AI for personalized learning.

Faced with public speaking anxiety, one common piece of advice is to picture the audience in a new light, using your mind’s eye. With Augmented Reality (AR) face filters, it becomes possible to literally change how one sees oneself or others. In this paper, we explore privately applied AR filters during online public speaking. Private means that these effects are only visible to the speaker. To investigate this possibly controversial concept, we conducted an online survey with 100 respondents to gather a diverse set of initial impressions, possible boundaries, and guidelines. Following this, we built a prototype of a private AR web-based video-calling application, and pilot-tested it with 16 participants to gain more in-depth insights. Based on our results, we outline key user perspectives and opportunities for the private application of AR face filters during online public speaking and discuss them in the context of previous literature on this topic.

We propose a novel fabrication method for 3D objects based on the principle of spooling. By wrapping off-the-shelf materials such as thread, ribbon, tape or wire onto a core structure, new objects can be created and existing objects can be augmented with desired aesthetic and functional qualities. Our system, WraPr, enables gesture-based modelling and controlled thread deposition. We outline and explore the design space for this approach. Various examples are fabricated to demonstrate the possibility to attain a range of physical and functional properties. The simplicity of the proposed method opens the grounds for a light-weight fabrication approach for the generation of new structures and the customization of existing objects using soft materials.

Introducing interactive components into furniture has proven difficult due to the different lifespans of furniture and digital devices. We present Foxels, a modular, smart furniture concept that allows users to create their own interactive furniture on demand by simply snapping together individual building blocks. The modular design makes the system flexible to accommodate a variety of interactive furniture setups, making it particularly well-suited for re-configurable spaces. Considering the trade-off between ease-of-use and high versatility, we explored a number of interaction methods that can be applied to modular interactive furniture, thereby extending the well-known tangible programming paradigm. After explaining our implementation, we demonstrate the validity of the proposed concepts by presenting how Foxels can be used in an ideation workshop along with many additional real-world examples.

We present RESi (Resistive tExtile Sensor Interfaces), a novel sensing approach enabling a new kind of yarn-based, resistive pressure sensing. The core of RESi builds on a newly designed yarn, which features conductive and resistive properties. We run a technical study to characterize the behaviour of the yarn and to determine the sensing principle. We demonstrate how the yarn can be used as a pressure sensor and discuss how specific issues, such as connecting the soft textile sensor with the rigid electronics can be solved. In addition, we present a platform-independent API that allows rapid prototyping. To show its versatility, we present applications developed with different textile manufacturing techniques, including hand sewing, machine sewing, and weaving. RESi is a novel technology, enabling textile pressure sensing to augment everyday objects with interactive capabilities.

Constructive assemblies are tangible user interfaces (TUIs) that involve the interconnection of modular parts. As such, they offer a unique means to support us in our various and diverse activities. However, little information is available for understanding the intricacies of taking a modular, constructive assembly approach to TUI design. Based on an analysis of extensive data collected from interviews with eight world-class TUI experts, we propose a descriptive, conceptual framework to facilitate systematic investigation and critical consideration of constructive assemblies. The paper presents a lifecycle model for constructive assemblies and discusses their main design qualities and associated parameters. We demonstrate how this can be used to structure critical discussions by applying the principles to existing works and the design of our own constructive assembly.

Ambient light is starting to be commercially used to enhance the viewing experience for watching TV. We believe that ambient light can add value in meeting and control rooms that use large vertical interactive surfaces. Therefore, we equipped a large interactive whiteboard with a peripheral ambient light display and explored its utility for different scenarios by conducting two controlled experiments. In the first experiment, we investigated how ambient light can be used for peripheral notifications, and how perception is influenced by the user's position and the type of work they are engaged in. The second experiment investigated the utility of ambient light for off-screen visualization. We condense our findings into several design recommendations that we then applied to application scenarios to show the versatility and usefulness of ambient light for large surfaces.

Today's commercially available prosthetic limbs lack tactile sensation and feedback. Recent research in this domain focuses on sensor technologies designed to be directly embedded into future prostheses. We present a novel concept and prototype of a prosthetic-sensing wearable that offers a non-invasive, self-applicable and customizable approach for the sensory augmentation of present-day and future low to mid-range priced lower-limb prosthetics. From consultation with eight lower-limb amputees, we investigated the design space for prosthetic sensing wearables and developed novel interaction methods for dynamic, user-driven creation and mapping of sensing regions on the foot to wearable haptic feedback actuators. Based on a pilot-study with amputees, we assessed the utility of our design in scenarios brought up by the amputees and we summarize our findings to establish future directions for research into using smart textiles for the sensory enhancement of prosthetic limbs.

Industrial designers have a tangible working style. However, compared to digital data, physical mockups are difficult to copy and share over distance. They require a lot of physical space, and earlier versions are lost once they are modified. In this paper, we introduce Catch-Up 360, a tool designed for sharing physical mockups over distance to gain feedback from remote located designers, and compare current models with earlier versions. Summarizing, our approach provides a simple, intuitive, and tangible UI that supports the use of lightweight, web-based clients by using remote manipulation of the physical objects.

Structuring and rearranging free-hand sketches on large interactive surfaces typically requires making multiple stroke selections. This can be both time-consuming and fatiguing in the absence of well-designed selection tools. Investigating the concept of automated clustering, we conducted a background study which highlighted the fact that people have varying perspectives on how elements in sketches can and should be grouped. In response to these diverse user expectations, we present cLuster, a flexible, domain-independent clustering approach for free-hand sketches. Our approach is designed to accept an initial user selection, which is then used to calculate a linear combination of pre-trained perspectives in real-time. The remaining elements are then clustered. An initial evaluation revealed that in many cases, only a few corrections were necessary to achieve the desired clustering results. Finally, we demonstrate the utility of our approach in a variety of application scenarios.

Triggering commands on large interactive surfaces is less efficient than on desktop PCs. It requires either large physical movements to reach an interaction area (e.g., buttons) or additional operations to call context menus (e.g., dwell). There is a lack of efficient ways to trigger shortcuts. We introduce Kolibri - a pen-based gesture system that allows fast access of commands on interactive whiteboards. Users can draw tiny gestures (approx. 3 mm) anywhere on the surface to trigger commands without interfering with normal inking. This approach does neither require entering a gesture mode, nor dedicated gesture areas. The implementation relies on off-the-shelf hardware only. We tested the feasibility and explored the properties of this technique with several studies. The results from a controlled experiment show significant benefits of Kolibri comparing to an existing approach.