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ProForm: Solder-Free Circuit Assembly Using Thermoforming

Electronic waste (e-waste) is a growing global challenge, with millions of functional components discarded due to the difficulty of repair and reuse. Traditional circuit assembly relies on soldering, which creates semi-permanent bonds that limit component recovery and contribute to unnecessary waste. We introduce ProF…

Narjes Pourjafarian et al.Saarland University

Missed Opportunities for Human-Centered AI Research: Understanding Stakeholder Collaboration in Mental Health AI Research

In the mental health domain, where AI technologies will impact their treatment and daily lives, patient engagement can be a key to designing human-centered technologies. CSCW and HCI researchers have delved into various facets of collaboration in AI research; however, previous research neglects the individuals who pro…

Dong Whi Yoo et al.Georgia Institute of Technology

Session 3b: Bridging Technology and Therapy

Patient Perspectives on AI-Driven Predictions of Schizophrenia Relapses: Understanding Concerns and Opportunities for Self-Care and Treatment

Early detection and intervention for relapse is important in the treatment of schizophrenia spectrum disorders. Researchers have developed AI models to predict relapse from patient-contributed data like social media. However, these models face challenges, including misalignment with practice and ethical issues related…

Dong Whi Yoo et al.Georgia Institute of Technology

Sensible and Sensitive AI for Worker Wellbeing: Factors that Inform Adoption and Resistance for Information Workers

Algorithmic estimations of worker behavior are gaining popularity. Passive Sensing–enabled AI ( PSAI ) systems leverage behavioral traces from workers' digital tools to infer their experience. Despite their conceptual promise, the practical designs of these systems elicit tensions that lead to workers resisting adopti…

Vedant Das Swain et al.Northeastern University

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Exergy: A Toolkit to Simplify Creative Applications of Wind Energy Harvesting

Energy harvesting reduces the burden of power source maintenance and promises to make computing systems genuinely ubiquitous. Researchers have made inroads in this area, but their novel energy harvesting materials and fabrication techniques remain inaccessible to the general maker communities. Therefore, this paper ai…

Jung Wook Park et al.Georgia Institute of Technology

Building Causal Agency in Autistic Students through Iterative Reflection in Collaborative Transition Planning

Transition planning is a collaborative process to promote agency in students with disabilities by encouraging them to participate in setting their own goals with team members and learn ways to assess their progress towards the goals. For autistic young adults who experience a lower employment rate, less stability in e…

Rachel Lowy et al.Georgia Institute of Technology

Teaching and Learning

SwellSense: Creating 2.5D interactions with micro-capsule paper

In this paper, we propose SwellSense, a fabrication technique to screen print stretchable circuits onto a special micro-capsule paper, creating localized swelling patterns with sensing capabilities. This simple technique will allow users to create a wide range of paper-based tactile interactive devices, which are most…

Tingyu Cheng et al.Carnegie Mellon University

Algorithmic Power or Punishment: Information Worker Perspectives on Passive Sensing Enabled AI Phenotyping of Performance and Wellbeing

We are witnessing an emergence in Passive Sensing enabled AI (PSAI) to provide dynamic insights for performance and wellbeing of information workers. Hybrid work paradigms have simultaneously created new opportunities for PSAI, but have also fostered anxieties of misuse and privacy intrusions within a power asymmetry.…

Vedant Das Swain et al.Georgia Institute of Technology

Supporting the Contact Tracing Process with WiFi Location Data: Opportunities and Challenges

Contact tracers assist in containing the spread of highly infectious diseases such as COVID-19 by engaging community members who receive a positive test result in order to identify close contacts. Many contact tracers rely on community member's recall for those identifications, and face limitations such as unreliable…

Kaely Hall et al.Georgia Institute of Technology

PITAS: Sensing and Actuating Embedded Robotic Sheet for Physical Information Communication

This work presents PITAS, a thin-sheet robotic material composed of a reversible phase transition actuating layer and a heating/sensing layer. The synthetic sheet material enables non-expert makers to create shape-changing devices that can locally or remotely convey physical information such as shape, color, texture a…

Tingyu Cheng et al.Carnegie Mellon University

Semantic Gap in Predicting Mental Wellbeing through Passive Sensing

When modeling passive data to infer individual mental wellbeing, a common source of ground truth is self-reports. But these tend to represent the psychological facet of mental states, which might not align with the physiological facet of that state. Our paper demonstrates that when what people ``feel'' differs from w…

Vedant Das Swain et al.Georgia Institute of Technology

Paper Title	Authors	Research Topics
emoji_events ProForm: Solder-Free Circuit Assembly Using Thermoforming Electronic waste (e-waste) is a growing global challenge, with millions of functional components discarded due to the difficulty of repair and reuse. Traditional circuit assembly relies on soldering, which creates semi-permanent bonds that limit component recovery and contribute to unnecessary waste. We introduce ProF…	NP Narjes Pourjafarian et al.Saarland University
Missed Opportunities for Human-Centered AI Research: Understanding Stakeholder Collaboration in Mental Health AI Research In the mental health domain, where AI technologies will impact their treatment and daily lives, patient engagement can be a key to designing human-centered technologies. CSCW and HCI researchers have delved into various facets of collaboration in AI research; however, previous research neglects the individuals who pro…	DY Dong Whi Yoo et al.Georgia Institute of Technology	Session 3b: Bridging Technology and Therapy
Patient Perspectives on AI-Driven Predictions of Schizophrenia Relapses: Understanding Concerns and Opportunities for Self-Care and Treatment Early detection and intervention for relapse is important in the treatment of schizophrenia spectrum disorders. Researchers have developed AI models to predict relapse from patient-contributed data like social media. However, these models face challenges, including misalignment with practice and ethical issues related…	DY Dong Whi Yoo et al.Georgia Institute of Technology
emoji_events Sensible and Sensitive AI for Worker Wellbeing: Factors that Inform Adoption and Resistance for Information Workers Algorithmic estimations of worker behavior are gaining popularity. Passive Sensing–enabled AI ( PSAI ) systems leverage behavioral traces from workers' digital tools to infer their experience. Despite their conceptual promise, the practical designs of these systems elicit tensions that lead to workers resisting adopti…	VS Vedant Das Swain et al.Northeastern University
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
Exergy: A Toolkit to Simplify Creative Applications of Wind Energy Harvesting Energy harvesting reduces the burden of power source maintenance and promises to make computing systems genuinely ubiquitous. Researchers have made inroads in this area, but their novel energy harvesting materials and fabrication techniques remain inaccessible to the general maker communities. Therefore, this paper ai…	JP Jung Wook Park et al.Georgia Institute of Technology
Building Causal Agency in Autistic Students through Iterative Reflection in Collaborative Transition Planning Transition planning is a collaborative process to promote agency in students with disabilities by encouraging them to participate in setting their own goals with team members and learn ways to assess their progress towards the goals. For autistic young adults who experience a lower employment rate, less stability in e…	RL Rachel Lowy et al.Georgia Institute of Technology	Teaching and Learning
SwellSense: Creating 2.5D interactions with micro-capsule paper In this paper, we propose SwellSense, a fabrication technique to screen print stretchable circuits onto a special micro-capsule paper, creating localized swelling patterns with sensing capabilities. This simple technique will allow users to create a wide range of paper-based tactile interactive devices, which are most…	TC Tingyu Cheng et al.Carnegie Mellon University
Algorithmic Power or Punishment: Information Worker Perspectives on Passive Sensing Enabled AI Phenotyping of Performance and Wellbeing We are witnessing an emergence in Passive Sensing enabled AI (PSAI) to provide dynamic insights for performance and wellbeing of information workers. Hybrid work paradigms have simultaneously created new opportunities for PSAI, but have also fostered anxieties of misuse and privacy intrusions within a power asymmetry.…	VS Vedant Das Swain et al.Georgia Institute of Technology
Supporting the Contact Tracing Process with WiFi Location Data: Opportunities and Challenges Contact tracers assist in containing the spread of highly infectious diseases such as COVID-19 by engaging community members who receive a positive test result in order to identify close contacts. Many contact tracers rely on community member's recall for those identifications, and face limitations such as unreliable…	KH Kaely Hall et al.Georgia Institute of Technology
PITAS: Sensing and Actuating Embedded Robotic Sheet for Physical Information Communication This work presents PITAS, a thin-sheet robotic material composed of a reversible phase transition actuating layer and a heating/sensing layer. The synthetic sheet material enables non-expert makers to create shape-changing devices that can locally or remotely convey physical information such as shape, color, texture a…	TC Tingyu Cheng et al.Carnegie Mellon University
emoji_events Semantic Gap in Predicting Mental Wellbeing through Passive Sensing When modeling passive data to infer individual mental wellbeing, a common source of ground truth is self-reports. But these tend to represent the psychological facet of mental states, which might not align with the physiological facet of that state. Our paper demonstrates that when what people ``feel'' differs from w…	VS Vedant Das Swain et al.Georgia Institute of Technology