Designing for hybrid intelligence: A taxonomy and survey of crowd-machine interaction

A Correia, A Grover, D Schneider, AP Pimentel… - Applied Sciences, 2023 - mdpi.com
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 …

Judgment sieve: Reducing uncertainty in group judgments through interventions targeting ambiguity versus disagreement

QZ Chen, AX Zhang - Proceedings of the ACM on Human-Computer …, 2023 - dl.acm.org
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 …

DoubleCheck: Designing Community-based Assessability for Historical Person Identification

V Mohanty, K Luther - ACM Journal on Computing and Cultural Heritage, 2023 - dl.acm.org
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 …

Criminal identification system using facial recognition

NB Aherwadi, D Chokshi, DS Pande… - Proceedings of the …, 2021 - papers.ssrn.com
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 …

Photo sleuth: Identifying historical portraits with face recognition and crowdsourced human expertise

V Mohanty, D Thames, S Mehta, K Luther - ACM Transactions on …, 2020 - dl.acm.org
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 …

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 …

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 …

Experimental crowd+ AI approaches to track accessibility features in sidewalk intersections over time

A Sharif, P Gopal, M Saugstad, S Bhatt, R Fok… - Proceedings of the 23rd …, 2021 - dl.acm.org
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 …

Photo steward: A deliberative collective intelligence workflow for validating historical archives

V Mohanty, K Luther - Proceedings of The ACM Collective Intelligence …, 2023 - dl.acm.org
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 …

Civil War Twin: Exploring Ethical Challenges in Designing an Educational Face Recognition Application

M Kusuma, V Mohanty, M Wang, K Luther - Proceedings of the 2022 …, 2022 - dl.acm.org
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 …