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Applying customized epidermal electronics closely onto the human skin offers the potential for biometric sensing and unique, always-available on-skin interactions. However, iterating designs of an on-skin interface from schematics to physical circuit wiring can be time-consuming, even with tiny modifications; it is also challenging to preserve skin wearability after repeated alteration. We present SkinLink, a reconfigurable on-skin fabrication approach that allows users to intuitively explore and experiment with the circuitry adjustment on the body. We demonstrate SkinLink with a customized on-skin prototyping toolkit comprising tiny distributed circuit modules and a variety of streamlined trace modules that adapt to diverse body surfaces. To evaluate SkinLink's performance, we conducted a 14-participant usability study to compare and contrast the workflows with a benchmark on-skin construction toolkit. Four case studies targeting a film makeup artist, two beauty makeup artists, and a wearable computing designer further demonstrate different application scenarios and usages. 

The COVID-19 pandemic has disrupted millions of lives, with life stress and daily hassles having a potential impact on parent mental health. This study examined whether preventive health behaviors (e.g. social distancing, mask wearing) and social support relate to parent mental health. In a cross-sectional analysis of parents ( N = 176, May–September 2020), life events and daily hassles were positively associated with depressive and anxiety symptoms. Preventive health behaviors moderated the association between daily hassles and depressive symptoms. Preventive health behaviors may protect those with high levels of daily hassles from moderate levels of depression. 

The emergence of on-skin interfaces has created an opportunity for seamless, always-available on-body interactions. However, developing a new fabrication process for on-skin interfaces can be time-consuming, challenging to incorporate new features, and not available for quick form-factor preview through prototyping. We introduce SkinKit, the first construction toolkit for on-skin interfaces, which enables fast, low-fidelity prototyping with a slim form factor directly applicable to the skin. SkinKit comprises modules consisting of skin-conformable base substrates and reusable Flexible Printed Circuits Board (FPCB) blocks. They are easy to attach and remove under tangible plug-and-play construction but still offer robust conductive connections in a slim form. Further, SkinKit aims to lower the barrier to entry in building on-skin interfaces without demanding technical expertise. It leverages a variety of preprogrammed modules connected in unique sequences to achieve various function customizations. We describe our iterative design and development process of SkinKit, comparing materials, connection mechanisms, and modules reflecting on its capability. We report results from single- and multi- session workshops with 34 maker participants spanning STEM and design backgrounds. Our findings reveal how diverse maker populations engage in on-skin interface design, what types of applications they choose to build, and what challenges they faced. 

Abstract Background Little remains known about both Asian and Asian American (A/AA) and non-Asian young adults’ experiences and affective reactions regarding COVID-19 anti-Asian discrimination. To our knowledge, this is the first study that explores the nature and impact of COVID-19 anti-Asian discrimination within a multi-racial sample. Methods This study uses qualitative open-ended responses from a sub-sample of Wave I of the COVID-19 Adult Resilience Experiences Study (CARES) data collected between March to September 2020. Thematic analysis was used to explore two open-ended questions: “Are there experiences we missed in the survey so far that you wish to describe?” and “What are your thoughts about the current social climate?” The data analysis for this study focused on 113 discrimination or racism-related comments. Results A total of 1331 young adults completed an online survey of which 611 provided comments; a multi-racial sample of 95 individuals (65.3% non-Asians, 24.7% A/AA) contributed 113 COVID-19 anti-Asian discrimination or racism-related comments. Two overarching themes were: types of discrimination (societal, interpersonal, intrapersonal) and affective reactions to discrimination (fear, anxiety/distress, hopelessness/depression, and avoidance). Not only did both A/AA and non-Asian participants report witnessing or hearing reports of anti-Asian discrimination, but both groups described having negative affective reactions to anti-Asian discrimination. Conclusion Anti-Asian discrimination in the face of COVID may be more widespread than initial reports indicate. Our finding suggests that anti-Asian discrimination is a societal illness that impacts all populations in the U.S. This calls for cross-racial coalitions and solidarity in the fight against discrimination and racism.