A5072240993- Open Source Software Innovations
- Assistive Technology in Communication and Mobility
- Mobile Crowdsensing and Crowdsourcing
- Reinforcement Learning in Robotics
- Autism Spectrum Disorder Research
- Gaze Tracking and Assistive Technology
- Tactile and Sensory Interactions
- Innovative Human-Technology Interaction
- Cognitive Functions and Memory
- Teleoperation and Haptic Systems
- Disability Rights and Representation
Tufts University
2023-2024
Motivated by the philosophical overlap between makerspace culture and needs of assistive technology users, we investigated ways that makerspaces can support development new technologies for disabled makers. Using eleven semi-structured interviews with operators identified five categories barriers to participation: recruitment/outreach, physical access, financial, access information, belonging. Based on these interviews, highlight better welcome makers disabilities: enabling members create...
This full-day workshop addresses the problems of accessibility in HRI and interplay ethical considerations for disability-centered design research, concerns disabled researchers, assistive technologies. We invite authors to submit extended abstracts (up 2 pages, excluding references) short papers 4 on a range topics relevant ethics, accessibility, applications HRI, including critical reflections methodologies, human-centered or anti-ableist technology, from those outside community who may...
Learning from human feedback is an effective way to improve robotic learning in exploration-heavy tasks. Compared the wide application of binary feedback, scalar has been used less because it believed be noisy and unstable. In this paper, we compare demonstrate that benefits when properly handled. We collected or respectively two groups crowdworkers on a robot task. found considering how consistently participant labeled same data, led consistency than feedback; however, difference vanishes...
This research aims to empower disabled makers and engineers participate in collaborative engineering activities. First, this identifies barriers benefits of applying makerspace culture precepts the creation DIY Assistive Technologies (DIY-AT). From data, we will be developing a hybrid online in-person community for supporting DIY-AT makers. Simultaneously, identify basic structure vocabulary human haptic communication. that design an anthropomorphic human-robot interaction assistive...
Learning from human feedback is an effective way to improve robotic learning in exploration-heavy tasks. Compared the wide application of binary feedback, scalar has been used less because it believed be noisy and unstable. In this paper, we compare demonstrate that benefits when properly handled. We collected or respectively two groups crowdworkers on a robot task. found considering how consistently participant labeled same data, led consistency than feedback; however, difference vanishes...