activity
20162024
most citedWhen combinations of humans and AI are useful: A systematic review and meta-analysis

493 citations · 605 across the 11 of their papers we have counts for

collaborators

11 papers

cs.HC2024★ 493 cited

When combinations of humans and AI are useful: A systematic review and meta-analysis

Michelle Vaccaro, Abdullah Almaatouq, Thomas Malone

Inspired by the increasing use of AI to augment humans, researchers have studied human-AI systems involving different tasks, systems, and populations. Despite such a large body of…

cs.HC2022★ 21 cited

A Test for Evaluating Performance in Human-Computer Systems

Andres Campero, Michelle Vaccaro, Jaeyoon Song +3

The Turing test for comparing computer performance to that of humans is well known, but, surprisingly, there is no widely used test for comparing how much better human-computer sys…

cs.AI2021★ 4 cited

Will We Trust What We Don't Understand? Impact of Model Interpretability and Outcome Feedback on Trust in AI

Daehwan Ahn, Abdullah Almaatouq, Monisha Gulabani +1

Despite AI's superhuman performance in a variety of domains, humans are often unwilling to adopt AI systems. The lack of interpretability inherent in many modern AI techniques is b…

econ.GN2020★ 1 cited

Network Structures of Collective Intelligence: The Contingent Benefits of Group Discussion

Joshua Becker, Abdullah Almaatouq, Emőke-Ágnes Horvát

Research on belief formation has produced contradictory findings on whether and when communication between group members will improve the accuracy of numeric estimates such as econ…

cs.SI2020★ 2 cited

When social influence promotes the wisdom of crowds

Abdullah Almaatouq, M. Amin Rahimian, Jason W. Burton +1

Whether, and under what conditions, groups exhibit "crowd wisdom" has been a major focus of research across the social and computational sciences. Much of this work has focused on…

cs.HC2020★ 39 cited

Empirica: a virtual lab for high-throughput macro-level experiments

Abdullah Almaatouq, Joshua Becker, James P. Houghton +3

Virtual labs allow researchers to design high-throughput and macro-level experiments that are not feasible in traditional in-person physical lab settings. Despite the increasing po…

stat.AP2018★ 2 cited

Winning Models for GPA, Grit, and Layoff in the Fragile Families Challenge

Daniel E Rigobon, Eaman Jahani, Yoshihiko Suhara +4

In this paper, we discuss and analyze our approach to the Fragile Families Challenge. The challenge involved predicting six outcomes for 4,242 children from disadvantaged families…

cs.SI2018★ 1 cited

The Wisdom of the Network: How Adaptive Networks Promote Collective Intelligence

Abdullah Almaatouq, Alejandro Noriega-Campero, Abdulrahman Alotaibi +3

Social networks continuously change as new ties are created and existing ones fade. It is widely noted that our social embedding exerts a strong influence on what information we re…

physics.soc-ph2018★ 13 cited

Dynamical Networks of Influence in Small Group Discussions

Mehdi Moussaid, Alejandro Noriega Campero, Abdullah Almaatouq

In many domains of life, business and management, numerous problems are addressed by small groups of individuals engaged in face-to-face discussions. While research in social psych…

cs.SI2016★ 28 cited

Mobile Communication Signatures of Unemployment

Abdullah Almaatouq, Francisco Prieto-Castrillo, Alex Pentland

The mapping of populations socio-economic well-being is highly constrained by the logistics of censuses and surveys. Consequently, spatially detailed changes across scales of days,…

cs.SI2016★ 1 cited

Complex Systems and a Computational Social Science Perspective on the Labor Market

Abdullah Almaatouq

Labor market institutions are central for modern economies, and their polices can directly affect unemployment rates and economic growth. At the individual level, unemployment ofte…