Personal informatics (PI) has gained great attention and become ubiquitous in people’s everyday lives. Although an increasing number of studies set out to explore the social aspects of PI, there remains an unaddressed opportunity for a structured, systematic review to understand why and how the sharing happened, to inform future design and research. This systematic review summarizes the last 13 years of research on the diverse cases of shared PI practice from ACM, PubMed, and IEEE. 100 papers were analyzed, and four types of sharing were identified: Interpersonal targeting, Public broadcasting, Group monitoring, and Community exchanging. Notably, sharing extends beyond data exchange, evolving into a collaborative process across different PI stages. The review offers a taxonomy of shared PI practices and delineates design possibilities, facilitating future exploration in the field. Additionally, it identifies trends and patterns within existing work, suggesting design opportunities for future explorations of shared personal informatics.

Compared to the five basic tastes, smell, as an intrinsic element, is crucial in augmenting flavor and dietary experience within Human-Food Interaction. While much research has explored orthonasal olfaction in olfactory displays, the potential of retronasal olfaction in interaction design is always overlooked and less understood. This paper introduces AromaBite, an accessible, edible, bio-compatible and ingestible odor storage and release mechanism that integrates natural eating behaviors, providing dynamic retronasal olfactory experiences. We detail AromaBite’s design parameters and process and technically test its airtightness and durability. We employ time-intensity (TI), confirming that retronasal olfaction significantly enhances flavor perception and providing a design library mapping form factors to guide natural oral interaction. We envision that AromaBite will augment depth and immersive flavor experiences in Virtual Reality, olfactory training, and personalized dining interactions.

Critical thinking plays a crucial role in children's education for fostering cognitive development, cultivating independent thinking habits, and enhancing their ability to problem-solving. However, the current educational model places greater emphasis on children's understanding of factual knowledge, with relatively less focus on developing critical thinking skills. We present CharacterCritique to support children's critical thinking based on the theory of inquiry dialogue. This tool uses an analytical story as the medium, it encourages dialogue between parents, children, and story characters. Through this process, children continuously engage in interpretation, analysis, explanation, evaluation, and regulation, all of which promote critical thinking and decision-making. Such interaction is supported by multiple agents. In our between-subjects study (n=32), we compared CharacterCritique to traditional storybook reading. The results show that CharacterCritique is more effective at sparking children's interest in deeper discussions. It also better fosters critical thinking, problem-solving skills, and creates more opportunities for parent-child dialogue.

The advancement of wearable intelligent systems presents a unique opportunity to transform how humans interact with digital content. This workshop explores the design of Interactive Multimodal Information Retrieval and Access systems specifically tailored for Heads-Up Computing environments. By leveraging multimodal inputs, such as voice, gaze, and gesture, these systems enable real-time, hands-free access to digital information, facilitating seamless and efficient interaction. The goal is to support tasks requiring rapid information access in dynamic environments while ensuring users remain”heads-up” and engaged with the real world. This half-day workshop will share research outcomes and best practices, foster community building, and facilitate discussions on key challenges. By bringing together researchers and practitioners, it aims to drive further advancements in both research and practical applications within this rapidly evolving field.

A deep understanding of Generative Artificial Intelligence (GAI) is crucial not only for technological development but also for formulating effective risk response strategies. However, previous studies have mainly focused on how individual factors affect GAI risk perception while the technical functions and features that are the root causes of user concerns regarding GAI remain unclear. To address this gap, the current study, grounded in affordance theory, explored how perceived affordances of GAI influenced user risk perceptions across six dimensions: information, security, technical, social, ethical, and legal. A hierarchical regression analysis was conducted on a survey of 1,031 GAI users to examine the impact of interactivity, agency, and security affordances on these risk dimensions. The results indicate that higher perceptions of affordances such as bandwidth, synchrony, and transparency are significantly associated with lower risk perceptions across all dimensions. Notably, women reported higher perceived risks than men in most categories, whereas age and GAI usage experience did not significantly affect these perceptions. These findings highlight the importance of enhancing user control, transparency, and privacy protections in GAI system design to effectively mitigate perceived risks. This study contributes to the literature by providing a multidimensional analysis of risk perception in the context of GAI, offering practical insights for the development of inclusive, transparent, and user-centered artificial intelligence systems.

A design method card deck helps designers understand and provoke thinking by presenting each method in a simple format and allow designers to switch between methods seamlessly by maintaining the same simple format across the deck. However, recent observations have shown designers hesitate to use a card deck due to the lack of support, while other tools have provided identified support with generative AI. Through a formative study, we identified the specific support designers need when applying the design method cards and intentions in integrating generative AI. Accordingly, we developed the intelligent design method card deck, I-Card, which integrates generative AI to provide applicable design methods, design knowledge and data support, and interactive and dynamic support. A user study demonstrates that I-Card improved the design efficiency and applicability by offering personalized guidance, enhanced decision-making with comprehensive data generation and provided more design inspiration via interactive support.

Airflow is recognized as an effective method for inducing the illusion of self-motion (vection) and reducing motion sickness in virtual reality. However, the quantitative relationship between virtual motion and the airflow perceived as consistent with it has not been fully explored. To address this gap, this study conducted three experiments. In Experiment 1, we carried out a series of cross-modal matching tasks to establish the relationship between the speed of virtual motion and the airflow speed perceived as consistent with it, revealing a strong linear correlation. In Experiment 2, we introduced the concept of an "Airflow Gradient"to simulate the bodily sensation of curvilinear motion and examined the relationship between the radius and angular velocity of the motion and the difference in airflow speed between the left and right sides. The results indicated a linear relationship between the radius and the left-right airflow speed difference, while the angular velocity showed a near-quadratic pattern, similar to the centripetal acceleration formula. Based on these findings, Experiment 3 developed a dynamic airflow scheme and compared it with constant airflow and no-airflow conditions during locomotion tasks in a complex urban environment. The results demonstrated that dynamic airflow, which ensures consistency between visual and bodily vection, further reduces motion sickness, enhances presence, and provides a more natural and consistent virtual motion experience.

Artificial intelligence (AI) is reshaping health information consumption on social media by tailoring content through algorithmic personalization. While user engagement with online health content has been widely studied, less is known about how technological features influence intention to use AI-powered social media for health information. Building on the affordance theory, this study proposes a research model linking algorithmic affordances with usage intention. An online survey with 1,051 users showed that content filtering was positively related to perceived information usefulness and willingness to rely on the platform. In contrast, automated decision-making and human-algorithm interplay were negatively related to willingness to rely on the platform and information usefulness, respectively. Both information usefulness and willingness to rely on the platform were positively related to intention to use these AI-driven platforms. The findings advance theoretical understanding of algorithmic affordances in health communication and provide practical guidance for improving user experiences on AI-driven platforms.

With the growing number of immigrants globally, language barriers have become a significant challenge, particularly for those entering English-speaking countries. Traditional language learning methods often fail to provide sufficient practical opportunities, especially for diverse accents. To address this, we introduce Language Urban Odyssey (LUO), a serious game that leverages large language models (LLMs) and game-based learning to offer a low-cost, accessible virtual environment for English learners. Built on the Minecraft platform, LUO offers real-time speech interaction with NPCs of various accents, supported by multi-modal feedback. A controlled study (N=30) showed improvements in speaking abilities, accent comprehension, and emotional confidence. Our findings suggest that LUO provides a scalable, immersive platform that bridges gaps in language learning for immigrants facing cultural and social challenges.

In an increasingly interconnected world, the aesthetics of connectivity significantly influence our interactions with data, AI, and associated products and services. What is aesthetics in design good for? Where can it be used to engage with contemporary troubles? This workshop aims to explore innovative approaches, methodologies, and technologies that take connectivity into design considerations to further enhance the role of aesthetics in empowering individuals. Through extensive deliberations on the nuanced relationship between connectivity, aesthetics, and empowerment, our foremost aim is to foster meaningful dialogue and collaboration among a diverse range of stakeholders, spanning researchers, practitioners, designers, artists, and industry professionals. This inclusive platform is poised to facilitate collective ideation and the development of pioneering solutions that empower individuals to thrive. Expecting an attendance of approximately 15 participants, the workshop is scheduled to span six hours.