Recent major investments in infrastructure in the United States and globally present a crucial opportunity to embed equity within the heart of resilient infrastructure decision-making. Yet there is a notable absence of frameworks within the engineering and scientific fields for integrating equity into planning, design, and maintenance of infrastructure. Additionally, whole-of-government approaches to infrastructure, including the Justice40 Initiative, mimic elements of process management that support exploitative rather than exploratory innovation. These and other policies risk creating innovation traps that limit analytical and engineering advances necessary to prioritize equity in decision-making, identification and disruption of mechanisms that cause or contribute to inequities, and remediation of historic harms. Here, we propose a three-tiered framework toward equitable and resilient infrastructure through restorative justice, incremental policy innovation, and exploratory research innovation. This framework aims to ensure equitable access and benefits of infrastructure, minimize risk disparities, and embrace restorative justice to repair historical and systemic inequities. We outline incremental policy innovation and exploratory research action items to address and mitigate risk disparities, emphasizing the need for community-engaged research and the development of equity metrics. Among other action items, we recommend a certification system—referred to as Social, Environmental, and Economic Development (SEED)—to train infrastructure engineers and planners and ensure attentiveness to gaps that exist within and dynamically interact across each tier of the proposed framework. Through the framework and proposed actions, we advocate for a transformative vision for equitable infrastructure that emphasizes the interconnectedness of social, environmental, and technical dimensions in infrastructure planning, design, and maintenance.
more »
« less
Robots for Social Justice (R4SJ): Toward a More Equitable Practice of Human-Robot Interaction
In this work, we present Robots for Social Justice (R4SJ): a framework for an equitable engineering practice of Human-Robot Interaction, grounded in the Engineering for Social Justice (E4SJ) framework for Engineering Education and intended to complement existing frameworks for guiding equitable HRI research. To understand the new insights this framework could provide to the feld of HRI, we analyze the past decade of papers published at the ACM/IEEE International Conference on Human-Robot Interaction, and examine how well current HRI research aligns with the principles espoused in the E4SJ framework. Based on the gaps identifed through this analysis, we make fve concrete recommendations, and highlight key questions that can guide the introspection for engineers, designers, and researchers. We believe these considerations are a necessary step not only to ensure that our engineering education eforts encourage students to engage in equitable and societally benefcial engineering practices (the purpose of E4SJ), but also to ensure that the technical advances we present at conferences like HRI promise true advances to society, and not just to fellow researchers and engineers.
more »
« less
- Award ID(s):
- 2044865
- PAR ID:
- 10563665
- Publisher / Repository:
- ACM
- Date Published:
- ISBN:
- 9798400703225
- Page Range / eLocation ID:
- 850 to 859
- Format(s):
- Medium: X
- Location:
- Boulder CO USA
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Social robots have recently been gaining attention in the education field. Given their capabilities, researchers can use social robots in various ways that support human-robot interactions. In this paper, we present an interactive cybersecurity education program to teach children about foundation cybersecurity concepts using a social robot. To create child-robot interactions in cybersecurity education, we devised three processes. First, in collaboration with practicing teachers we developed an interactive story to support student engagement and learning of cybersecurity concepts. Second, we prototyped animations for the story on the social robot. Third, we use a mixed-methods approach to pilot test our cybersecurity education program. Our research highlights the potential of social robot use in education, both for child-robot interaction and K-12 cybersecurity education.more » « less
-
The Improving Students’ Sociotechnical Literacy in Engineering project aims to integrate social justice topics with technical knowledge in a first-year engineering course. The approach involves redesigning an existing intro to computing course with justice-based activities, supported by an Equity Learning Assistant (ELA) program. This program trains upperclass students to facilitate in-class discussions on equity and social justice. The project targets improvements in students' critical sociotechnical literacy and engineering identity. Activities include analyzing ethically complex data sets and developing equity-focused projects, while encouraging students to integrate social, economic, and political dimensions into their engineering work. This initiative spans four years (one pilot year plus three NSF-funded iterations) and involves a multidisciplinary research team of engineers and education researchers.more » « less
-
Deployed social robots are increasingly relying on wakeword-based interaction, where interactions are human-initiated by a wakeword like “Hey Jibo”. While wakewords help to increase speech recognition accuracy and ensure privacy, there is concern that wakeword-driven interaction could encourage impolite behavior because wakeword-driven speech is typically phrased as commands. To address these concerns, companies have sought to use wake- word design to encourage interactant politeness, through wakewords like “⟨Name⟩, please”. But while this solution is intended to encourage people to use more “polite words”, researchers have found that these wakeword designs actually decrease interactant politeness in text-based communication, and that other wakeword designs could better encourage politeness by priming users to use Indirect Speech Acts. Yet there has been no previous research to directly compare these wakewords designs in in-person, voice-based human-robot interaction experiments, and previous in-person HRI studies could not effectively study carryover of wakeword-driven politeness and impoliteness into human-human interactions. In this work, we conceptually reproduced these previous studies (n=69) to assess how the wakewords “Hey ⟨Name⟩”, “Excuse me ⟨Name⟩”, and “⟨Name⟩, please” impact robot-directed and human-directed politeness. Our results demonstrate the ways that different types of linguistic priming interact in nuanced ways to induce different types of robot-directed and human-directed politeness.more » « less
-
HRI research using autonomous robots in real-world settings can produce results with the highest ecological validity of any study modality, but many difficulties limit such studies’ feasibility and effectiveness. We propose VID2REAL HRI, a research framework to maximize real-world insights offered by video-based studies. The VID2REAL HRI framework was used to design an online study using first-person videos of robots as real-world encounter surrogates. The online study (n = 385) distinguished the within-subjects effects of four robot behavioral conditions on perceived social intelligence and human willingness to help the robot enter an exterior door. A real-world, between subjects replication (n = 26) using two conditions confirmed the validity of the online study’s findings and the sufficiency of the participant recruitment target (n = 22) based on a power analysis of online study results. The VID2REAL HRI framework offers HRI researchers a principled way to take advantage of the efficiency of video-based study modalities while generating directly transferable knowledge of real-world HRI. Code and data from the study are provided at vid2real.github.io/vid2realHRI.more » « less
An official website of the United States government

