Despite Generative AI (GenAI) systems' potential for enhancing content creation, users often struggle to effectively integrate GenAI into their creative workflows. Core challenges include misalignment of AI-generated content with user intentions (intent elicitation and alignment), user uncertainty around how to best communicate their intents to the AI system (prompt formulation), and insufficient flexibility of AI systems to support diverse creative workflows (workflow flexibility). Motivated by these challenges, we created IntentTagger: a system for slide creation based on the notion of Intent Tags - small, atomic conceptual units that encapsulate user intent - for exploring granular and non-linear micro-prompting interactions for Human-GenAI co-creation workflows. Our user study with 12 participants provides insights into the value of flexibly expressing intent across varying levels of ambiguity, meta-intent elicitation, and the benefits and challenges of intent tag-driven workflows. We conclude by discussing the broader implications of our findings and design considerations for GenAI-supported content creation workflows.

Urban environmental monitoring campaigns depend on expertise from city agencies, residents, and researchers. Deployment efforts rarely include all three stakeholders, typically leading to initiatives that struggle to produce credible, actionable data. We describe the implementation of a large-scale, long-term air quality sensing network in Chicago Illinois; detail stakeholder interviews and meetings; and present three interfaces—–a website accessible via in-situ QR codes, APIs, and a mobile, mixed-media experience. We show how a collaborative approach created a more equitable sensor distribution compared to crowdsourced or regulatory designs. We highlight shared goals of education, engagement, and empowerment despite the diversity of tool and analytics needs across stakeholder groups. Reflecting on our work, we develop a “three-legged stool” framework representing the criticality of balanced participation from three key stakeholder groups—city, community, and research—in deploying novel urban technologies. This approach can help HCI researchers facilitate more democratic technology deployments in urban spaces.

This paper presents Eclipse, a platform for low-cost urban environmental sensing using solar-powered and cellular-connected devices. Dense sensor networks promise to monitor pollution at fine spatial and temporal resolutions, yet few cities have actually implemented such networks due to high costs and limited accuracy. We address these barriers by developing an end-to-end framework for urban air quality sensing with minimal infrastructure requirements. We designed an unobtrusive device that collects data on fine particulate matter (PM2.5), temperature, relative humidity, and barometric pres-sure. A modular design further includes four low-cost gas sensors - Ozone (03), Nitrogen Dioxide (NO2), Sulfur Dioxide (SO2), and Carbon Monoxide (CO) - selected based on local priorities. We deployed 115 devices across Chicago, reliably collecting data for over 90% of expected sensor-hours from July 2 - September 30, 2021. We further developed a calibration strategy that reduced errors by 41.2 – 98.8%, improving accuracy to levels recommended for hotspot detection (PM2.5and 03) or education (NO2and SO2). Through this work, we offer insights on the real-world deployment of a replicable, large-scale, end-to-end platform for hyperlocal urban environmental sensing.

The landscape of everyday fashion has been transformed due to the COVID-19 pandemic. Part of this can be attributed to different types of communities (e.g. fashion, makers, sewing), who have designed and fabricated masks to counter global shortages and negative culture backlashes. In this paper, we present a mix-methods study of individuals and groups within these communities on their motivations and practices in designing and creating face masks during a global crisis. We conducted a survey with 66 mask makers in the Summer of 2020, and we interviewed 23 of them about their attitudes and reflections on their mask making processes, their unique innovations, and the meaning of contributing in an impactful manner in local and global communities. We unpack themes around technology, self-expression and statement making, making and remixing, sustainable practices, as well as the role of design inspirations on methods and practices for mask makers during a crisis.

Technology has become increasingly pervasive in the creative and experimental environment of the avant-garde fashion runway, particularly in relation to its garments. However, several disciplines are often necessary when exploring technologies for the construction of expressive garments (e.g. garments that respond to their environment), creating a barrier for fashion designers that has limited their ability to leverage new technologies. To help overcome this barrier, we designed and deployed Brookdale, a prototyping system for wearable technology consisting of new plug-and-play hardware that can be programmed using drag-and-drop software. Brookdale was created using a 24-week participatory design process with 17 novice fashion-tech designers. At the end of the 24 week process, designers showcased their Brookdale-enhanced garment collections at an avant-garde fashion-tech runway show in New York City. We report on the experiences, outcomes, and lessons learned throughout this process, and describe results from interviews with the fashion-tech designers 16 weeks after the fashion show, demonstrating the lasting positive impact of Brookdale.

Air pollution causes several million deaths every year. Increasing public awareness through the deployment of devices that sense air quality may be a promising step in addressing the problem; however, these wholly objective device measurements may not capture the nuanced and lived experiences people have with the air, which are often colored by perceptions, histories, imaginations, and the sociopolitical context in which people live. The gap between objective environmental realities and individuals' subjective experiences of the environment may make it difficult to form meaning from data, hindering the positive policy outcomes that they are intended to produce. To bridge this gap, we conducted a two-phase design fieldwork to obtain an empirical understanding of the rich contours of experiences people have with the air and outline design strategies in making air quality data meaningful.

Year-round ultraviolet exposure silently causes skin damage that goes unnoticed until sunburn. Current personal wearables for monitoring UV exposure have not seen significant uptake, which may be attributed to their one-size-fits-all aesthetic or inapplicability to people with different skin tones. We present EcoPatches, inkjet-printable chemical patches that mediate a person's relationship with their environment by allowing them to create designs and formulations that resonate with them. Supporting human- and machine-interpretability for EcoPatches' visual changes means that users can glance at their EcoPatch during the day to see large exposure changes or take a picture of their EcoPatch with a smartphone app for more accurate and precise readings. We conducted an online survey to elicit visual design recommendations that support these features. We also evaluated both interpretation methods, finding that they achieved strong Pearson correlation coefficients with the \projectnames' known exposure levels (human: 0.79, app: 0.90).

Accurate and timely assessment of collective emotions in the workplace is a critical managerial task. However, perceptual, normative, and methodological challenges make it very difficult even for the most experienced organizational leaders. In this paper we present a MoodTracker - a technological solution that can help to overcome these challenges, and facilitate a continuous monitoring of the collective emotions in large groups in real-time. The MoodTracker is a program that runs on any PC device, and provides users with an interface for self-report of their affect. The device was tested in situ for four weeks, during which we received over 3000 emotion self-reports. Based on the usage data, we concluded that users had a positive attitude toward the MoodTracker and favorably evaluated its utility. From the collected data we were also able to establish some patterns of weekly and daily variations of employees' emotions in the workplace. We discuss practical applications and suggest directions for future development.

Remnance of Form is an interactive installation that explores the dynamic tension between an object and its shadow. By fusing light, projection, and motion technologies, the shadow can now detach itself from its former role. This creates a new narrative that challenges our perception of reality, what's real and what's not.

Today, it is not uncommon to find ourselves remote from those we care about. Despite the impact of mobile and social technologies on connectedness, recent studies suggest that it could be these very technologies that exacerbate a sense of loneliness. In attempt to help people feel more connected, we designed and created BodyPods, a remotely paired set of communicating chairs that facilitate a sense of presence by leveraging implicit actions such as sitting to communicate that someone you care about is home. Each BodyPod consists of a flexible surface with six pressure-sensitive and light-emitting pads that adjusts its shape to the body anatomy. As a person's body moves, limbs exert different pressure on each pad creating a live digital "bodyprint" that is mapped on the pads of other BodyPods through color and light. Findings from a 10 person user study suggest bodyprints may be distinctive, particularly among small groups of people with different body types.

We present "Lightwear", a series of garment-based, lightweight, light-emitting wearables designed to administer light therapy for on-the-go treatment of Seasonal Affective Disorder (SAD). Bright Light Therapy (BLT) has been used to treat SAD for more than 25 years. While light boxes continue to serve as the predominant method of treatment, it often requires a user to sit at a dedicated location for a sustained period of time (30-60 minutes), rendering therapy inconvenient and resulting in unsatisfactory compliance rates. To date, there have been few successful products developed for wearability and portability to ease the uncomfortable nature of light box treatment. However, new low-profile, light-emitting sources yield opportunities for less cumbersome textile integration and wearability. We explore the integration of light into textile substrates that focus on fashion-forward wearables which can, in turn, address BLT efficacy, usability, and convenience.

We present SWARM, a wearable affective technology designed to help a user to reflect on their own emotional state, modify their affect, and interpret the emotional states of others. SWARM aims for a universal design (inclusive of people with various disabilities), with a focus on modular actuation components to accommodate users' sensory capabilities and preferences, and a scarf form-factor meant to reduce the stigma of accessible technologies through a fashionable embodiment. Using an iterative, user-centered approach, we present SWARM's design. Additionally, we contribute findings for communicating emotions through technology actuations, wearable design techniques (including a modular soft circuit design technique that fuses conductive fabric with actuation components), and universal design considerations for wearable technology.

Recognizing when computer users are stressed can help reduce their frustration and prevent a large variety of negative health conditions associated with chronic stress. However, measuring stress non-invasively and continuously at work remains an open challenge. This work explores the possibility of using a pressure-sensitive keyboard and a capacitive mouse to discriminate between stressful and relaxed conditions in a laboratory study. During a 30 minute session, 24 participants performed several computerized tasks consisting of expressive writing, text transcription, and mouse clicking. During the stressful conditions, the large majority of the participants showed significantly increased typing pressure (>79% of the participants) and more contact with the surface of the mouse (75% of the participants). We discuss the potential implications of this work and provide recommendations for future work.

Behavior modification in health is difficult, as habitual behaviors are extremely well-learned, by definition. This research is focused on building a persuasive system for behavior modification around emotional eating. In this paper, we make strides towards building a just-in-time support system for emotional eating in three user studies. The first two studies involved participants using a custom mobile phone application for tracking emotions, food, and receiving interventions. We found lots of individual differences in emotional eating behaviors and that most participants wanted personalized interventions, rather than a pre-determined intervention. Finally, we also designed a novel, wearable sensor system for detecting emotions using a machine learning approach. This system consisted of physiological sensors which were placed into women's brassieres. We tested the sensing system and found positive results for emotion detection in this mobile, wearable system.

HomeProxy is a research prototype that explores supporting video communication in the home among distributed family members through a physical proxy. It leverages a physical artifact dedicated to representing remote family members to make it easier to share activities with them. HomeProxy combines a form factor designed for the home environment with a "no-touch" user experience and an interface that responsively transitions between recorded and live video messages. We designed and implemented a prototype and conducted a pilot study with eight pairs of users. Our study demonstrated the challenges of a no-touch interface and the promise of offering quick video messaging in the home.

In his 1962 short story, "1000 Dreams of Bellavista," sci-fi author J. G Ballard describes a future in which "psychotropic" homes exist and are designed to "feel and react" to the emotions of their occupants [1]. Today with the rise of affective computing, and advancements in e-textiles, smart materials and sensor technologies, we must consider the ramifications of technology that could actively mirror, alter and transform our feelings through the materials that make up our buildings and environments. This work provides discussion and insight around the binding of material and sensor technologies with affect. We investigate how emotions could be mapped to our environment through textiles. We present two online surveys designed to enable people to map emotions to textiles. We then use the results of these surveys to inform and inspire the design of the Textile Mirror prototype, a 60x92 cm wall panel that is composed of industrial felt interlaced with Nitinol wire, and is designed to shift its textural structure upon receiving emotional signals from its viewer.

Consumer-based synchronous video communication is on the rise and is viewed as a valuable medium to support long distance relationships. We were interested in the potential of asynchronous video to augment children's close friendships and what types of activities they would engage in using video. We explored both of these concepts through a 9-week field study with a group of six 9-10 year old girls. We see children as potential media trendsetters when it comes to video communication given their comfort with video and desire for rich social interactions. The results from this study were striking. Despite having frequent face-to-face interactions, the girls used our asynchronous video communication tool extensively to augment their existing relationships. Not only were they able to have rich conversations using asynchronous video, they also demonstrated a strong desire to share more than just a "talking head". The results from this work point to the need for video mediated communication to move beyond conversations, to the sharing of rich experiences.

We present AffectAura, an emotional prosthetic that allows users to reflect on their emotional states over long periods of time. We designed a multimodal sensor set-up for continuous logging of audio, visual, physiological and contextual data, a classification scheme for predicting user affective state and an interface for user reflection. The system continuously predicts a user's valence, arousal and engage-ment, and correlates this with information on events, communications and data interactions. We evaluate the interface through a user study consisting of six users and over 240 hours of data, and demonstrate the utility of such a reflection tool. We show that users could reason forward and backward in time about their emotional experiences using the interface, and found this useful.

Time Travel Proxy (TTP) enables participating in meetings that you cannot attend in real time, either because of time conflicts or global time zone differences. TTP uses lightweight video recordings to pre-record your contributions to a meeting, which are played on a tablet that serves as a proxy for you during the meeting. Reactions and responses in the meeting are also captured in video to give you feedback of what happened at the meeting. A working prototype of TTP was deployed and studied within four developer teams in their daily stand-up meetings. The study found that the affordances of video helped integrate the time traveler into the social context of the meeting, although the current prototype was better at enabling the time traveler to contribute to the meeting than it was in conveying the meeting experience back to the time traveler.

Work teams are often geographically distributed, and in some cases, experience large time-zone differences with no overlap in working hours. We explored the use of asynchronous video in temporally distributed teams. We developed VideoThreads, which provides a novel thread-based visualization of video messages. Based on a deployment to four teams, we offer design recommendations and insights about the benefits of asynchronous video sharing.

Twitter is now used to distribute substantive content such as breaking news, increasing the importance of assessing the credibility of tweets. As users increasingly access tweets through search, they have less information on which to base credibility judgments as compared to consuming content from direct social network connections. We present survey results regarding users' perceptions of tweet credibility. We find a disparity between features users consider relevant to credibility assessment and those currently revealed by search engines. We then conducted two experiments in which we systematically manipulated several features of tweets to assess their impact on credibility ratings. We show that users are poor judges of truthfulness based on content alone, and instead are influenced by heuristics such as user name when making credibility assessments. Based on these findings, we discuss strategies tweet authors can use to enhance their credibility with readers (and strategies astute readers should be aware of!). We propose design improvements for displaying social search results so as to better convey credibility.

Applying personal keywords to images and video clips makes it possible to organize and retrieve them, as well as automatically create thematically related slideshows. MediaBrowser is a system designed to help users create annotations by uniting a careful choice of interface elements, an elegant and pleasing design, smooth motion and animation, and a few simple tools that are predictable and consistent. The result is a friendly, useable tool for turning shoeboxes of old photos into labeled collections that can be easily browsed, shared, and enjoyed.

We describe an end-to-end system that capitalizes on geographic location tags for digital photographs. The World Wide Media eXchange (WWMX) database indexes large collections of image media by several pieces of metadata including timestamp, owner, and critically, location stamp. The location where a photo was shot is important because it says much about its semantic content, while being relatively easy to acquire, index, and search.The process of building, browsing, and writing applications for such a database raises issues that have heretofore been un- addressed in either the multimedia or the GIS community. This paper brings all of these issues together, explores different options, and offers novel solutions where necessary. Topics include acquisition of location tags for image media, data structures for location tags on photos, database optimization for location-tagged image media, and an intuitive UI for browsing a massive location-tagged image database. We end by describing an application built on top of the WWMX, a lightweight travelogue-authoring tool that automatically creates appropriate context maps for a slideshow of location-tagged photographs.