Designing for hybrid intelligence: A taxonomy and survey of crowd-machine interaction
With the widespread availability and pervasiveness of artificial intelligence (AI) in many
application areas across the globe, the role of crowdsourcing has seen an upsurge in terms …
application areas across the globe, the role of crowdsourcing has seen an upsurge in terms …
Judgment sieve: Reducing uncertainty in group judgments through interventions targeting ambiguity versus disagreement
When groups of people are tasked with making a judgment, the issue of uncertainty often
arises. Existing methods to reduce uncertainty typically focus on iteratively improving …
arises. Existing methods to reduce uncertainty typically focus on iteratively improving …
DoubleCheck: Designing Community-based Assessability for Historical Person Identification
Historical photos are valuable for their cultural and economic significance, but can be
difficult to identify accurately due to various challenges such as low-quality images, lack of …
difficult to identify accurately due to various challenges such as low-quality images, lack of …
Criminal identification system using facial recognition
We all know that our Face is a unique and crucial part of the human body structure that
identifies a person. Therefore, we can use it to trace the identity of a criminal person. With …
identifies a person. Therefore, we can use it to trace the identity of a criminal person. With …
Photo sleuth: Identifying historical portraits with face recognition and crowdsourced human expertise
Identifying people in historical photographs is important for preserving material culture,
correcting the historical record, and creating economic value, but it is also a complex and …
correcting the historical record, and creating economic value, but it is also a complex and …
Can computers outperform humans in detecting user zone-outs? Implications for intelligent interfaces
N Bosch, SK D'Mello - ACM Transactions on Computer-Human …, 2022 - dl.acm.org
The ability to identify whether a user is “zoning out”(mind wandering) from video has many
HCI (eg, distance learning, high-stakes vigilance tasks). However, it remains unknown how …
HCI (eg, distance learning, high-stakes vigilance tasks). However, it remains unknown how …
Second opinion: Supporting last-mile person identification with crowdsourcing and face recognition
V Mohanty, K Abdol-Hamid, C Ebersohl… - Proceedings of the AAAI …, 2019 - ojs.aaai.org
As AI-based face recognition technologies are increasingly adopted for high-stakes
applications like locating suspected criminals, public concerns about the accuracy of these …
applications like locating suspected criminals, public concerns about the accuracy of these …
Experimental crowd+ AI approaches to track accessibility features in sidewalk intersections over time
How do sidewalks change over time? Are there geographic or socioeconomic patterns to
this change? These questions are important but difficult to address with current GIS tools …
this change? These questions are important but difficult to address with current GIS tools …
Photo steward: A deliberative collective intelligence workflow for validating historical archives
Historical photographs of people generate significant cultural and economic value, but
correctly identifying the subjects of photos can be a difficult task, requiring careful attention to …
correctly identifying the subjects of photos can be a difficult task, requiring careful attention to …
Civil War Twin: Exploring Ethical Challenges in Designing an Educational Face Recognition Application
Facial recognition systems pose numerous ethical challenges around privacy, racial and
gender bias, and accuracy, yet little guidance is available for designers and developers. We …
gender bias, and accuracy, yet little guidance is available for designers and developers. We …