Publications

Indutivo: Contact-Based Object-Driven Interactions with Inductive Sensing.

Published in User Interface Software Technology (UIST18), 2018

Watch Indutivo Demo Video We present Indutivo, a contact-based inductive sensing technique for contextual interactions. Our technique recognizes conductive objects (metallic primarily) that are commonly found in households and daily environments, as well as their individual movements when placed against the sensor. These movements include sliding, hinging, and rotation. We describe our sensing principle and how we designed the size, shape, and layout of our sensor coils to optimize sensitivity, sensing range, recognition and tracking accuracy. Through several studies, we also demonstrated the performance of our proposed sensing technique in environments with varying levels of noise and interference conditions. We conclude by presenting demo applications on a smartwatch, as well as insights and lessons we learned from our experience.

Recommended citation: Jun Gong, Xin Yang, Teddy Sayed, Josh Urban Davis, Xing-Dong Yang. “Indutivo: Contact-Based Object-Driven Interactions with Inductive Sensing.” ; Proc of User Interface Software Technology (UIST). Berlin, Germany 2018. http://home.cs.dartmouth.edu/~jungong/pdfs/Indutivo.pdf

The Gender Generator: Towards a Brain-Computer Interaction to Evoke Gender Dysphoria Symptoms

Published in Extended Abstracts CHI 18, 2018

Watch Gender Generator Demo VideoScience and technology have profoundly affected our abilities to observe, transform, and manipulate bodily functions as well as our concepts of the body. Recent research into empathic technologies and empathic embodied technologies suggests that our embodied experience through virtual reality strongly influence our cognitive state and social biases. However, this trend of examining the effect embodied experience has on the mind is complicated when the target group of the empathic exercise may experience a disconnection between their physical body and their experienced body. Recent investigations indicate a potential biological basis for gender dysphoria. This brings into question how to create empathic technologies to explore the embodied experience of a transgender person, when a transgender person may not necessarily identify with their own embodied experience? To explore this, we present three Brain Computer Interfaces (BCI) for the development of empathic technologies beyond immersive embodiment. Hex Plexus investigates BCI music composition practices as the basis for a series of mobile performances.  Synapstraction is an installation which allows users to create abstract paintings based on neuro-feedback. The Gender Generator allows users to explore gender expression and construction in the form of a P300-based BCI paradigm. We conducted a series of user studies to understand the effectiveness of these machines as expressive tools and educational experiences. These projects address the notion of empathic technologies for body-dysmorphic users by building towards a Machine-Empathy Interface system which serves to create an empathic link between users.

Recommended citation: Davis, Josh Urban. (2018). "The Gender Generator: Towards a Brain-Computer Interaction to Evoke Gender Dysphoria Symptoms." Extended Abstracts Human Factors in Computing (CHI18). Montreal, QC. https://artisticbci.files.wordpress.com/2018/04/josh-davis.pdf