Brain-computer interfaces (BCIs) offer promising avenues for cerebral palsy (CP) rehabilitation at home and in the clinic, using games that promote engagement and sustained training effort. Nonetheless, the design constraints of BCI-based CP rehabilitation remain unclear, especially how individuals with CP experience a sense of control through BCI, and how they experience computer-mediated game assistance. To address this gap, we present preliminary clinical and user perspectives on BCI-based CP rehabilitation, drawing on in-clinic insights from a CP therapist and experiential accounts from ten individuals with CP engaging with BCI game prototypes. Sporadic help in BCI games eased monotony, but also fostered doubts regarding agency. The therapist saw BCI rehabilitation as complementary to traditional training, facilitating the transition from playful exercises to autonomous, self-managed training. We outline key challenges and opportunities to inform and empower further design and research of BCI training for CP.
Online brain-computer interface research requires software that can acquire multimodal physiological data, train and update decoders, run live inference, and preserve the full experimental provenance in a reproducible workflow. We present Dendrite, a real-time brain-computer inte…
Neurological injury affects hundreds of millions of people worldwide, yet the loss of motor or communication functions resulting from stroke, spinal cord injury, and neurodegenerative disease remains largely irreversible with existing therapies. Brain-computer interfaces (BCIs) o…
Imagined speech decoding using EEG signals has emerged as a promising frontier in brain-computer interface (BCI) research, particularly to restore communication for individuals with severe speech impairments. However, decoding imagined speech remains a complex task due to the non…
Controlling attributes is a critical step toward achieving the final creative outcome, yet current approaches fall short in supporting users in the iterative refinement of generative content. We propose Spatula, a proof-of-concept system that generates on-demand, in-situ attribut…
Brain-computer interfaces (BCIs) are a class of diverse hardware modalities, associated software, and connected devices which are widely used in a variety of fields, including neurosurgery, biomedical data analysis, and neuroimaging. Recent years have seen rapid advancements in B…
Robot initiative is a central challenge in multi-party human-robot collaboration. A robot that contributes without being addressed may provide timely support, but it may also disrupt coordination, divide attention, or interrupt turn-taking; a robot that waits to be addressed may…