Adolescent girls face significant mental health challenges during their transition to adulthood, often experiencing heightened stress from various sources. While various interactive technologies for self-disclosure had been explored to support stress relief, little is known about how to encourage stress-related self-disclosure through an embodied approach. This study presents a co-design workshop centred on Embodied Probes—a series of artefacts and activities incorporating embodied methods and technologies. During the workshop, nine participants aged 15-18 engaged with their bodies, expressed bodily sensations through tangible means, and designed embodied prototypes tailored to their personal needs for stress perception and relief. The workshop revealed insights into somatic symptoms, sources, and coping strategies for stress among adolescent girls, as well as how embodied methods can support their stress self-disclosure. This paper contributes to the HCI community by offering design implications on leveraging embodied technologies to support self-disclosure for young women’s mental well-being.

This work investigates the integration of generative visual aids in human-robot task communication. We developed GenComUI, a system powered by large language models that dynamically generates contextual visual aids (such as map annotations, path indicators, and animations) to support verbal task communication and facilitate the generation of customized task programs for the robot. This system was informed by a formative study that examined how humans use external visual tools to assist verbal communication in spatial tasks. To evaluate its effectiveness, we conducted a user experiment (n = 20) comparing GenComUI with a voice-only baseline. The results demonstrate that generative visual aids, through both qualitative and quantitative analysis, enhance verbal task communication by providing continuous visual feedback, thus promoting natural and effective human-robot communication. Additionally, the study offers a set of design implications, emphasizing how dynamically generated visual aids can serve as an effective communication medium in human-robot interaction. These findings underscore the potential of generative visual aids to inform the design of more intuitive and effective human-robot communication, particularly for complex communication scenarios in human-robot interaction and LLM-based end-user development.

Procrastination, the voluntary delay of tasks despite potential negative consequences, has prompted numerous time and task management interventions in the HCI community. While these interventions have shown promise in addressing specific behaviors, psychological theories suggest that learning about procrastination itself may help individuals develop their own coping strategies and build mental resilience. However, little research has explored how to support this learning process through HCI approaches. We present ProcrastiMate, a text adventure game where players learn about procrastination's causes and experiment with coping strategies by guiding in-game characters in managing relatable scenarios. Our field study with 27 participants revealed that ProcrastiMate facilitated learning and self-reflection while maintaining psychological distance, motivating players to integrate newly acquired knowledge in daily life. This paper contributes empirical insights on leveraging serious games to facilitate learning about procrastination and offers design implications for addressing psychological challenges through HCI approaches.

In this work, we present MorphingScents, a thin-film, five-layer, flexible, shape-changing odor-emitting mechanism that uses Joule heating to drive both scent release and morphological changes, aiming to provide lightweight, intricate, dynamic, and aesthetic olfactory displays and experiences. Based on the direction of scent release and shape change, we propose two fundamental scent release mechanisms: Inward Gathering Release and Outward Dispersing Release. Combining four deformation mechanisms and three multi-scent release methods, we compiled a shape-changing olfactory interfaces library and further provided a detailed design and fabrication pipeline. We conducted a series of technical tests, including relation to heating and deformation angles and olfactory concentration across different areas, thicknesses, and directions of the odor layer. We demonstrated five applications. We conducted a user-involved workshop to validate MorphingScents’s usability and feasibility. Finally, we discuss the potential for expansion, usage precautions, and design iterations of MorphingScents.

Biomimicry, a methodology adapted from nature, always inspires optimum solutions and innovative technologies in human history. To get children interested in, excited about, and inspired by biomimicry, we introduce KiPneu, a robotic platform that facilitates biomimicry education through hands-on, solution-oriented learning and a digital learning environment. KiPneu allows children to mimic flexible animal locomotion, like fish swimming or worm squirming, using low-cost building blocks and non-electrical pneumatic actuators. We provide five types of non-electrical tangible valves to adjust robot motion characteristics, such as direction and speed, through engaging tangible programming. Additionally, to facilitate the whole learning process, KiPneu comes with interactive instructional interface that visualize and simulate the pneumatic system. To validate KiPneu’s educational efficacy, we conducted a three-day workshop with 21 children aged 5-12. Pre-and-post surveys revealed KiPneu not only enhanced their understanding of animal locomotion mechanisms but also spurred interest in creative construction using acquired knowledge.

This paper presents TacTex, a textile-based interface that provides high-resolution haptic feedback and touch-tracking capabilities. TacTex utilizes electrotactile stimulation, which has traditionally posed challenges due to limitations in textile electrode density and quantity. TacTex overcomes these challenges by employing a multi-layer woven structure that separates conductive weft and warp electrodes with non-conductive yarns. The driving system for TacTex includes a power supply, sensing board, and switch boards to enable spatial and temporal control of electrical stimuli on the textile, while simultaneously monitoring voltage changes. TacTex can stimulate a wide range of haptic effects, including static and dynamic patterns and different sensation qualities, with a resolution of 512 × 512 and based on linear electrodes spaced as closely as 2mm. We evaluate the performance of the interface with user studies and demonstrate the potential applications of TacTex interfaces in everyday textiles for adding haptic feedback.

Snap-through instability, like the rapid closure of the Venus flytrap, is gaining attention in robotics and HCI. It offers rapid shape reconfiguration, self-sensing, actuation, and enhanced haptic feedback. However, conventional snap-through structures face limitations in fabrication efficiency, scale, and tunability. We introduce SnapInflatables, enabling safe, multi-scale interaction with adjustable sensitivity and force reactions, utilizing the snap-through instability of inflatables. We designed six types of heat-sealing structures enabling versatile snap-through passive motion of inflatables with diverse reaction and trigger directions. A block structure enables ultra-sensitive states for rapid energy release and force amplification. The motion range is facilitated by geometry parameters, while force feedback properties are tunable through internal pressure settings. Based on experiments, we developed a design tool for creating desired inflatable snap-through shapes and motions, offering previews and inflation simulations. Example applications, including a self-locking medical stretcher, interactive animals, a bounce button, and a large-scale light demonstrate enhanced passive interaction with inflatables.

This paper presents MagneDot, a novel method for making interactive magnetic shape displays through an integrated fabrication process. Magnetic soft materials can potentially create fast, responsive morphing structures for interactions. However, novice users and designers typically do not have access to sophisticated equipment and materials or cannot afford heavy labor to create interactive objects based on this material. Modified from an open-source 3D printer, the fabrication system of MagneDot integrates the processes of mold-making, pneumatic extrusion, magnetization, and actuation, using cost-effective materials only. By providing a design tool, MagneDot allows users to generate G-code for fabricating and actuating displays of various morphing effects. Finally, a series of design examples demonstrate the possibilities of shape displays enabled by MagneDot.

Running is a highly popular form of exercise, while incorrect running posture over an extended period can lead to severe knee injuries. Smart textiles have recently demonstrated significant potential for continuous motion monitoring. This study involved the design and development of a smart legging with a resistive textile sensor network to monitor lower body motion. The study consists of three main parts. Firstly, we tested textile sensors in terms of linearity and robustness to determine the basic sensor unit that can monitor the characteristics of running postures. Next, optimal sensor placement was determined through comparison experiments, and a sensor network was proposed. Finally, based on the LSTM model with data gathered from 6 participants, we developed the smart legging system that is capable of identifying three types of improper running postures and normal postures with 99.1% accuracy. The evaluation revealed that the smart legging system had the potential to help users adjust their running postures to prevent knee injury through continuous monitoring and multi-modal feedback.

Textile sensors have demonstrated significant potential in next-generation wearable systems due to their excellent performance and unobtrusive nature. By building specialized sensing networks and algorithms, textile-based wearable systems can estimate the continuous motion angles of human joints with desirable accuracies. This article offers a systematic review aimed at identifying key challenges in this field and encouraging further applications of textile strain sensor networks within the human–computer interaction (HCI) community. To achieve this, we conducted an exhaustive literature search across four major databases: IEEE Xplore, PubMed, Scopus, and Web of Science, spanning from January 2016 to August 2023. Applying inclusion and exclusion criteria, we narrowed down 2684 results to a total of 24 relevant papers. To analyze these studies, we proposed a framework that incorporates both technical aspects – such as textile strain sensors, sensor placement, algorithms, and technical evaluations – and contextual factors like target users, wearability, and application scenarios. Our analysis uncovered two critical research gaps: First, it exists an incongruity between the development of textile-based wearables and the advancements in textile sensors. Second, there is a noticeable absence of contextual design considerations in this specific domain. To address these issues, we offer discussions and recommendations from three perspectives: 1) enhancing the robustness of textile-sensing networks, 2) improving wearability, and 3) expanding application scenarios.

Orthoses with electronic functions have emerged as a promising medical product in response to the increasing demand for rehabilitation training, therapy assistance, and health monitoring. However, fabricating this “smart orthosis” often requires long development cycles and exorbitant prices. We introduce E-Orthosis, an integrated fabrication approach with construction toolkits for healthcare professionals to quickly embed electronics in off-the-shelf orthoses with customized functions cost-effectively and time-efficiently. Specifically, we develop components with magnets and pogo pins to support rapid attachment and sustainable use, and textile-based electrodes with snap installation to improve the wearing experience. We also provide a circuit iron tool to apply circuit traces on complex surfaces of orthoses directly and a hot punch tool to embed magnet ports and electrodes. Three application examples, technical evaluations, and expert reviews demonstrate the functionality of E-Orthosis and the potential for democratizing rapid-developed and low-cost smart orthoses for patients.

As electronic textiles have become more advanced in sensing, actuating, and manufacturing, incorporating smartness into fabrics has become of special interest to ubiquitous computing and interaction researchers and designers. However, innovating smart textile interfaces for numerous input and output modalities usually requires expert-level knowledge of specific materials, fabrication, and protocols. This paper presents EmTex, a construction kit based on embroidered textiles, patterned with dedicated sensing, actuating, and connecting components to facilitate the design and prototyping of smart textile interfaces. With machine embroidery, EmTex is compatible with a wide range of threads and underlay fabrics, proficient in various stitches to control the electric parameters, and capable of integrating versatile and reliable interaction functionalities with aesthetic patterns and precise designs. EmTex consists of 28 textile-based sensors, actuators, connectors, and displays, presented with standardized visual and tactile effects. Along with a visual programming tool, EmTex enables the prototyping of everyday textile interfaces for diverse life-living scenarios, that embody their touch input, and visual and haptic output properties. With EmTex, we conducted a workshop and invited 25 designers and makers to create freeform textile interfaces. Our findings revealed that EmTex helped the participants explore novel interaction opportunities with various smart textile prototypes. We also identified challenges EmTex shall face for practical use in promoting the design innovation of smart textiles.

Explanations have become increasingly vital in communicating with human drivers about the reasons for the decision-making of autonomous vehicles (AVs), particularly in tactical-level driving tasks. Focusing on lane-changing scenarios, we examine whether providing tactical-level explanations and in addition, whether providing a confirmation option, influences drivers’ decision-making, trust, and emotional experience. Thirty participants were equally assigned into three groups: indicator (I), explanation (E), and explanation + confirmation (EC), experiencing four lane-changing scenarios in a driving simulator. Real-time question probes and interviews were adopted to understand drivers’ decision-making process, and post-drive questionnaires on trust and emotional experience were given. Results indicated that merely providing tactical-level explanations had little effect on driver’s trust and experience, but caused worse decision-making performance. The option to confirm lane changes after an explanation promoted driver’s trust, but brought two-sided effects on decision-making performance. Situational trust and decision-making performance varied significantly across lane-changing scenarios.

Research in smart textiles and garments has mostly focused on integrating sensing technology. In order to make garments that are truly interactive it is also essential to develop technologies for actuating smart garments and textiles. This paper introduces ShapeTex, a thermal shape changing fabric that uses laminate thermal expansion to actuate textiles. We present the design process and rationale for ShapeTex; we explain the fabrication process we have developed for making ShapeTex accessible to fashion designers and interaction designers. Based on co-creation sessions with designers we discuss requirements derived from this material. Finally we present a number of concept prototypes created to explore and illustrate the potential applications of ShapeTex.

Posture monitoring and correction technologies can be useful in supporting prevention of musculoskeletal disorders and in supporting physical therapy, e.g., for arm-hand training after stroke or spinal cord injury. My doctoral research is concerned with the design of wearable technologies for posture monitoring and correction. Specifically we focus on smart garments that embed electronics and, in combination with a smartphone application, can give feedback and coaching for sustaining a correct posture. The research aims to contribute new design concepts that will be prototyped and validated both for their clinical relevance, and for their acceptance by patients and health workers. In addition to the prototype garments, we are also interested in developing relevant design knowledge, which we shall try to explicate in terms of reflections, and design patterns, across a range of prototypes.