While legacy sketchnotes capture rich design rationales and inspirations, they are rarely reused in contemporary practice. We present Co-Ideation Across Time (CIAT), utilizing Large Language Models (LLMs) to transform decades-old design sketchnotes into interactive "AI-augmented Knowledge Objects". Our system digitizes over 2,000 pages of alumni sketchnotes and connects them with conversational agents trained on corresponding theses and publications, enabling current and future students to engage in multimodal dialogue with past ideas and researchers. An exploratory evaluation with 12 participants showed that interacting with the system stimulated deeper understanding of abstract concepts, idea diversity, and fostered a stronger sense of continuity with the community’s legacy. Our contributions are threefold: (1) a method for integrating design legacies with LLM-driven conversational agents; (2) an empirical study demonstrating how this approach supports learning and intergenerational knowledge sharing; and (3) a conceptual framing of AI-Augmented Knowledge Objects as active participants in design ideation.

TEI ’25, March 04–07, 2025, Bordeaux / Talence, France

TEI ’25, March 04–07, 2025, Bordeaux / Talence, France

UIST ’25, Busan, Republic of Korea

How to create & animate an object of simple, abstract form which movement would confer a behavior? How to give the impression that such an object have a personality allowing to be proactive, with self-motivated behavior, not directly responding to our expectations, or even challenging them through the demonstration of mis-behavior? To address these questions, we propose a studio allowing to design and rapid-prototype such object from an easily accessible toolbox (hardware and software) for the studio's audience to experiment with. This toolbox will have been developed beforehand through the collaboration of MIT Tangible Media Group and the Ensadlab composed of researchers in art, design, technology (HCI and tangible media) for this specific studio experiment.

We present DynaSpot, a new technique for acquiring targets based on the area cursor. DynaSpot couples the cursor's activation area with its speed, behaving like a point cursor at low speed or when motionless. This technique minimizes visual distraction and allows pointing anywhere in empty space without requiring an explicit mode switch, thus enabling users to perform common interactions such as region selections seamlessly. The results of our controlled experiments show that the performance of DynaSpot can be modeled by Fitts' law, and that DynaSpot significantly outperforms the point cursor and achieves, in most conditions, the same level of performance as one of the most promising techniques to date, the Bubble cursor.

This paper describes the design and early testing of SketchCam, a camera that lets children take pictures through sketching. Our observations of children's use of digital cameras led to insights about how children appropriate the screen in the picture-taking process. Inspired by their use of these cameras, we designed SketchCam, which enables children to capture images directly by sketching on a touch screen. We describe the results of our observations of children; the design of SketchCam, and the results of a preliminary study of a working prototype with four children aged three to six.

This article presents the design of Telebeads, a conceptual exploration of mobile mnemonic artefacts. Developed together with five 10-14 year olds across two participatory design sessions, we address the problem of social network massification by allowing teenagers to link individuals or groups with wearable objects such as handmade jewelery. We propose different concepts and scenarios using mixed-reality mobile interactions to augment crafted artefacts and describe a working prototype of a bluetooth luminous ring. We also discuss what such communication appliances may offer in the future with respect to interperception, experience networks and creativity analysis.

This paper describes the design and early evaluation of the Tangicam, or tangible camera, a mobile device for children to capture and edit realistic pictures and videos. Our first experimental results show that the affordances of the Tangicam allow imitation learning and free playing in a context of tangible and augmented reality. Our goal is to create a simple and robust observation system that lets children produce narratives based on situated [51] video, audio and sensor data. We also want to explore how these temporal structures may allow children to describe themselves, other children or natural phenomena and how such situated time series may help develop new forms of synaesthetic and intersubjective constructions.