Citations are nodes in the networks of knowledge we create. Portals to conversations with the past and bonding material with the scholarship of the present. Choosing who we cite is a practice signaling who we recognize and respect as a knowledge source. Therefore, we recognize citations as a relational practice. As this relational characteristic of citing is mediated by wealth we distribute across those who we cite, it is imperative to interrogate how just these practices are. We ought to engage with Citational Justice. Building on recent work discussing citational practices within HCI [9], we use the opportunity of this workshop to expand this conversation into deeper reflection on how we cite and the practices and infrastructures surrounding citations. Our goal with this workshop is * All authors contributed in diverse, yet vital ways, rendering author order meaningless. We center the collective representing our ideas before listing individuals in alphabetical order by first name. Section 4 details authors' roles.
Smart technologies have recently come under scrutiny for automating inequality. Given the current push towards developing and implementing smart cities policies that afect transportation systems in places like Kampala and Kigali, it is important to examine how the diferent modes of transportation meet the needs of diverse passengers and identify opportunities for technology to address any inequities. Prior studies have focused on the impact of informal public transportation on government policy and examined drivers' perspectives, but they largely overlooked the experiences of passengers and other industry stakeholders. In this study, we conducted interviews and surveys with public transportation riders with diferent disabilities as well as other stakeholders, including transport and fnancial technology creators. Our fndings illuminate inequities in the transportation system surrounding discrimination and harassment, infuence of ability on preferred transportation modes despite inaccessible interfaces, and infuence of perceived social hierarchical structures on innovation. We present insights into how passengers appropriate technology to overcome challenges, and we uncover opportunities for technology to fll additional gaps. Lastly, we discuss how these fndings support emergent frameworks such as aspiration-based design, and we present potential envisioned futures of technology for informal public transportation.
At the onset of the COVID-19 pandemic, people looked to scientists and other leaders to understand the rate at which the virus spread. Much of this information, however, was not accessible to everyone.
Traditional approaches to accessible human-computer interaction focus on the needs and requirements of users in the Global North. While there has been some work on interaction accessibility for people in the Global South, these efforts usually focus on assistive technology rather than universal design. The work described here uses the goals of universal design, like cultural appropriateness, to understand the needs of diverse users in Kampala, Uganda, and Kigali, Rwanda. Preliminary results have revealed prominent absences of features related to physical mobility and hearing impairments. The subsequent phase of this work is to partner with local organizations to implement the resulting recommendations. Our goal is for these recommendations to inform new information technology and interactions designs that can support local stakeholders in their efforts to provide transportation services to people of all abilities.
Personalization of user experience has a long history of success in the HCI community. More recently the community has focused on adaptive user interfaces, supported by machine learning, that reduce interaction efforts and improves user experience by collapsing transactions and pre-filtering results. However, generally, these more recent results have only been demonstrated in the laboratory environment. In this paper, we share the case of a deployed mobile transit app that adapts based on users' previous usage. We examine the impact of adaptation, both good and bad, and user abandonment rates. We conducted an 18-month assessment where 2,616 participants (with and without vision impairments) were recruited and participated in an A/B study. Finally, we draw some insights on some unusual effects that appear over the long term. CCS CONCEPTS • Human-centered computing → Empirical studies in interaction design.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.