論文アブストラクト： DIY-making can be an expensive pastime if makers are relying on ready-made toolkits, specialised materials and off-shelf components. Many prefabricated commercial kits seek to lower the learning barrier of making and to help beginners to successfully take their first steps in engineering. However, as soon as the novices become a little more advanced, these toolkits often do not fit the specific requirements of personal maker projects anymore. We introduce the idea of a Schnittmuster (or a meta-toolkit) as a novel approach to toolkit design that seeks to address these creativity-limiting factors as well as practical entrance hurdles. To demonstrate the adaptive power of the Schnittmuster concept, we discuss an exemplar in the context of capacitive touch sensing (FlexE-Touch). Implemented under the constraints of materials, user skill sets and making environments, we illustrate how the Schnittmuster facilitated four cheap and flexible toolkit instantiations for crafting custom touch sensor electrodes.
初心者用DIYキットの入りやすさを保ちつつ拡張性を上げる研究． ユーザが自分のレベルや環境に応じて様々な構築ができる静電タッチセンサを提案． 4つのワークショップでユーザ評価を実施． 客の反応や拡張ついて言及して結論．
論文アブストラクト： Digital Gastronomy (DG) is a culinary concept that enhances traditional cooking with new HCI capabilities, rather than replacing the chef with an autonomous machine. Preliminary projects demonstrate implementation of DG via the deployment of digital instruments in a kitchen. Here we contribute an alternative solution, demonstrating the use of a modular (silicone) mold and a genetic mold-arrangement algorithm to achieve a variety of shape permutations for a recipe, allowing the control of taste structures in the dish. The mold overcomes the slow production time of 3D food printing, while allowing for a high degree of flexibility in the numerous shapes produced. This flexibility enables us to satisfy chefs' and diners' diverse requirements. We present the mold's logic, arithmetic, design and special parts, the evolutionary algorithm, and a recipe, exploiting a new digital cooking concept of programmable edible taste structures and taste patterns to enrich user interaction with a given recipe.
論文アブストラクト： Humans can perceive tactile sensation through multimodal stimuli. To demonstrate realistic pseudo tactile sensation for the users, a tactile display is needed that can provide multiple tactile stimuli. In this paper, we have explicated a novel printed tactile display that can provide both the electrical stimulus and the electrostatic force. The circuit patterns for each stimulus were fabricated by employing the technique of double-sided conductive ink printing. Requirements for the fabrication process were analyzed and the durability of the tactile display was evaluated. Users' perceptions of a single tactile stimulus and multiple tactile stimuli were also investigated. The obtained experimental results indicate that the proposed tactile display is capable of exhibiting realistic tactile sensation and can be incorporated by various applications such as tactile sensation printing of pictorial illustrations and paintings. Furthermore, the proposed hybrid tactile display can contribute to accelerated prototyping and development of new tactile devices.
論文アブストラクト： Advances in computer vision and machine learning are changing the way people dress and buy clothes. Given the vast space of fashion problems, where can data-driven technologies provide the most value? To understand consumer pain points and opportunities for technological interventions, this paper presents the results from two independent need-finding studies that explore the gold-standard of personalized shopping: interacting with a personal stylist. Through interviews with five personal stylists, we study the range of problems they address and their in-person processes for working with clients. In a separate study, we investigate how styling experiences map to online settings by building and releasing a chatbot that connects users to one-on-one sessions with a stylist, acquiring more than 70 organic users in three weeks. These conversations reveal that in-person and online styling sessions share similar goals, but online sessions often involve smaller problems that can be resolved more quickly. Based on these explorations, we propose future highly personalized, online interactions that address consumer trust and uncertainty, and discuss opportunities for automation.
服を選んでくれるオンラインスタイリストとしてのFacebook Messenger bot「PSbot」を提案．5人のスタイリストの意見とユーザが使用した感想を調査．ユーザはプライバシーよりも正確なパーソナライズを重視．