Project Sidewalk

Saha, Manaswi; Saugstad, Michael; Maddali, Hanuma Teja; Zeng, Aileen; Holland, Ryan; Bower, S.M.; Dash, A. P.; Chen, Sage; Li, Anthony; Hara, Kotaro; Froehlich, Jon E.

doi:10.1145/3290605.3300292

Cited by 83 publications

(10 citation statements)

References 38 publications

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“…Bigham et al [7] identified three broad areas for collective intelligence and HCI. They are 1) directed crowdsourcing, where a single person or a group guides a large set of people to accomplish a task (e.g., labeling a large dataset [15,37], CommunityCrit [53]); 2) collaborative crowdsourcing, where a group of people works together to accomplish a task (e.g., Wikipedia, Project Sidewalk [67], ConceptScape [50]); and 3) finally, passive crowdsourcing, where people do not coordinate and are not consciously aware of participating in a crowdsourced system, however, one can still mine their behavior to infer collective intelligence (e.g., mining search history).…”

Section: Crowdsourcing and Quality Control In Crowdsourcingmentioning

confidence: 99%

Belief Miner: A Methodology for Discovering Causal Beliefs and Causal Illusions from General Populations

Salim,

Hoque,

Mueller

2024

Proc. ACM Hum.-Comput. Interact.

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Causal belief is a cognitive practice that humans apply everyday to reason about cause and effect relations between factors, phenomena, or events. Like optical illusions, humans are prone to drawing causal relations between events that are only coincidental (i.e., causal illusions). Researchers in domains such as cognitive psychology and healthcare often use logistically expensive experiments to understand causal beliefs and illusions. In this paper, we propose Belief Miner, a crowdsourcing method for evaluating people's causal beliefs and illusions. Our method uses the (dis)similarities between the causal relations collected from the crowds and experts to surface the causal beliefs and illusions. Through an iterative design process, we developed a web-based interface for collecting causal relations from a target population. We then conducted a crowdsourced experiment with 101 workers on Amazon Mechanical Turk and Prolific using this interface and analyzed the collected data with Belief Miner. We discovered a variety of causal beliefs and potential illusions, and we report the design implications for future research.

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Section: Crowdsourcing and Quality Control In Crowdsourcingmentioning

confidence: 99%

Belief Miner: A Methodology for Discovering Causal Beliefs and Causal Illusions from General Populations

Salim,

Hoque,

Mueller

2024

Proc. ACM Hum.-Comput. Interact.

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“…In the city of Alghero (Italy) a contingent field survey has been conducted (Blečić et al, 2016) to clarify variables associated with the general perception of walkability which can be manifold (useful sidewalk width; architectural, urban and environmental attractions; density of shops, bars, services, economic activities; vehicles-pedestrians separation; cyclability; opportunities to sit; shelters and shades; car roadway width; street lighting). In the city of Washington (United States), Project Sidewalk, has a strong concern in supporting population with ambulatory disabilities (Saha et al, 2019) and five high-priority areas that impact walkability have been identified, mainly drawn from Americans with Disabilities Act standards (curb ramps, missing curb ramps, sidewalk obstacles, surface problems, and the lack of a sidewalk on a pedestrian pathway). In other words, the latter does focus on the design of the pedestrian infrastructure.…”

Section: Related Workmentioning

confidence: 99%

“…Collecting obstacles: with the rise of digital tools, new methods to collect data on street-level appeared: in situ crowdsourcing with users capturing data in the field, automatic data capture using sensors, and remote crowdsourcing using streetscape imagery. While Project Sidewalk (Saha et al, 2019) falls into the 3rd category, theirs authors discuss the benefits and drawbacks of these approaches that should be considered complementary.…”

Section: Related Workmentioning

confidence: 99%

CITIZEN PARTICIPATION & DIGITAL TOOLS TO IMPROVE PEDESTRIAN MOBILITY IN CITIES

Ertz¹,

Fischer

Ghorbel

et al. 2021

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. In this work, we present a framework supported by mobile and web apps and able to propose personalized pedestrian routes that match user mobility profile considering mobility impediments factors. We explain how these later have been defined using a pedestrian-centric approach based on travel experiences as perceived in the field by senior citizens. Through workshops, six main factors that may influence pedestrian route choices were revealed: passability, obstacle in path, surface problem, security, sidewalk width, slope. These categories were used to build digital tools and guide a citizen participatory approach to collect geolocated points of obstacle documented with walkability information (picture, category, impact score, free comment). We also involved citizens to evaluate these information and especially senior referents for validation. Finally we present how we connect these points of obstacle with a pedestrian network based on OpenStreetMap to configure a routing cost function. The framework has been partially deployed in 2020 with limited people due to the pandemic. Nonetheless, we share lessons learned from interaction with citizens in the design of such a framework whose underlying workflow is reproducible. We plan to further assess its relevance and sustainability in the future.

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“…Related paradigms like contextaware computing [18] expand the vision of how sensing infrastructures can support myriad implicit and explicit interactions; context-awareness has shown promise for supporting accessibility applications such as predictive text suggestions for AAC systems [36,37]. The Internet of Things [3,50] expands on this vision by adding cloud computing capabilities and connectivity to facilitate the creation of "smart" objects, buildings, and even cities [38]; smart buildings and cities have the potential to facilitate accessibility such as if beacons are embedded to support non-visual navigation (e.g., [1,25,26]) or better understandings of the accessibility of urban infrastructure for city planners or pedestrians (e.g., [30,47]). New technologies such as 3D printing and other fabrication options enable embedding of sensors in a variety of materials and objects [63], which could have implications for accessibility (e.g., smart prosthetics [33]).…”

Section: Ubiquitous Computingmentioning

confidence: 99%

Sense and Accessibility

Kane

Guo

Morris

2020

Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility

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Sensing technologies that implicitly and explicitly mediate digital experiences are an increasingly pervasive part of daily living; it is vital to ensure that these technologies work appropriately for people with physical disabilities. We conducted on online survey with 40 adults with physical disabilities, gathering open-ended descriptions about respondents' experiences with a variety of sensing systems, including motion sensors, biometric sensors, speech input, as well as touch and gesture systems. We present fndings regarding the many challenges status quo sensing systems present for people with physical disabilities, as well as the ways in which our participants responded to these challenges. We conclude by refecting on the signifcance of these fndings for defning a future research agenda for creating more inclusive sensing systems. CCS CONCEPTS • Human-centered computing → Ubiquitous and mobile computing; Accessibility; • Computing methodologies → Artifcial intelligence; • Social and professional topics → People with disabilities.

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Project Sidewalk

Cited by 83 publications

References 38 publications

Belief Miner: A Methodology for Discovering Causal Beliefs and Causal Illusions from General Populations

Belief Miner: A Methodology for Discovering Causal Beliefs and Causal Illusions from General Populations

CITIZEN PARTICIPATION & DIGITAL TOOLS TO IMPROVE PEDESTRIAN MOBILITY IN CITIES

Sense and Accessibility

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