Rie Kamikubo

University of Maryland, College Park | UMD, UMCP, University of Maryland College Park · College of Information Studies

This paper aims to cover and summarize the field of IoT and related privacy concerns through the lens of privacy by design. With the ever-increasing incorporation of technology within our daily lives and an ever-growing active research into smart devices and technologies, privacy concerns are inevitable. We intend to briefly cover the broad topic o...

Blind people are often called to contribute image data to datasets for AI innovation with the hope for future accessibility and inclusion. Yet, the visual inspection of the contributed images is inaccessible. To this day, we lack mechanisms for data inspection and control that are accessible to the blind community. To address this gap, we engage 10...

To ensure that AI-infused systems work for disabled people, we need to bring accessibility datasets sourced from this community in the development lifecycle. However, there are many ethical and privacy concerns limiting greater data inclusion, making such datasets not readily available. We present a pair of studies where 13 blind participants engag...

As data-driven systems are increasingly deployed at scale, ethical concerns have arisen around unfair and discriminatory outcomes for historically marginalized groups that are underrepresented in training data. In response, work around AI fairness and inclusion has called for datasets that are representative of various demographic groups. In this p...

As data-driven systems are increasingly deployed at scale, ethical concerns have arisen around unfair and discriminatory outcomes for historically marginalized groups that are underrepresented in training data. In response, work around AI fairness and inclusion has called for datasets that are representative of various demographic groups.In this pa...

While advances in technologies like artificial intelligence promise a lot of possibilities for the disability community, they are centered around data-driven approaches. Datasets and data sharing play an important role in training and testing machine learning models and helping deployed systems work better in the real world. However, sharing data s...

Datasets sourced from people with disabilities and older adults play an important role in innovation, benchmarking, and mitigating bias for both assistive and inclusive AI-infused applications. However, they are scarce. We conduct a systematic review of 137 accessibility datasets manually located across different disciplines over the last 35 years....

Datasets sourced from people with disabilities and older adults play an important role in innovation, benchmarking, and mitigating bias for both assistive and inclusive AI-infused applications. However, they are scarce. We conduct a systematic review of 137 accessibility datasets manually located across different disciplines over the last 35 years....

Impacted by the disruptions due to the pandemic as students, teaching assistants, and faculty, in this paper we employ a reflexive self-study to share our perspectives and experiences of engaging in an HCI course on Inclusive Design. We find that we were able to overcome some of the anticipated challenges of transitioning in-person experiential lea...

Curation and sharing of datasets are crucial for innovation, benchmarking, bias mitigation, and understanding of real-word scenarios, where AI-infused applications are deployed. This is especially the case for datasets from underrepresented populations typically studied in wellness, accessibility, and aging. However such datasets are scarce and in...

Research in group activity analysis has put attention to monitor the work and evaluate group and individual performance, which can be reflected towards potential improvements in future group interactions. As a new means to examine individual or joint actions in the group activity, our work investigates the potential of detecting and disambiguating...

This work presents a novel user interface applying 3D visualization to understand complex group activities from multiple first-person videos. The proposed interface is designed to assist video viewers to easily understand the collaborative relationships of group activity based on where the individual worker is located in a workspace and how multipl...

Despite the emphasis of involving users with disabilities in the development of accessible interfaces, user trials come with high costs and effort. Particularly considering the diverse range of abilities such as in the case of low vision, simulating the effect of an impairment on interaction with an interface has been approached. As a starting poin...

This paper presents a novel interface to support video coding of social attention in the assessment of children with autism spectrum disorder. Video-based evaluations of social attention during therapeutic activities allow observers to find target behaviors while handling the ambiguity of attention. Despite the recent advances in computer vision-ba...

Active involvement of users with disabilities is difficult to employ during the iterative stages of the design process due to high costs and effort associated with user studies. This research proposes a user centered design (UCD) strategy to incorporate the use of gaze-contingent tunnel vision simulation with sighted individuals to facilitate rapid...