activity
20132017
most citedUsing Social Media to Predict the Future: A Systematic Literature Review

37 citations · 43 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CY201737 cited

Using Social Media to Predict the Future: A Systematic Literature Review

Lawrence Phillips, Chase Dowling, Kyle Shaffer +2

Social media (SM) data provides a vast record of humanity's everyday thoughts, feelings, and actions at a resolution previously unimaginable. Because user behavior on SM is a refle…

cs.HC2017

Understanding Cognitive Depletion in Novice NMR Analysts

Lyndsey Franklin, Kyungsik Han, Zhuanyi Huang +2

We present the results of a user study with novice NMR analysts (N=19) involving a gamified simulation of the NMR analysis process. Participants solved randomly generated spectrum…

cs.CL20174 cited

Assessing the Linguistic Productivity of Unsupervised Deep Neural Networks

Lawrence Phillips, Nathan Hodas

Increasingly, cognitive scientists have demonstrated interest in applying tools from deep learning. One use for deep learning is in language acquisition where it is useful to know…

cs.HC2017

Cognitive Depletion in the Wild: a Case Study of NMR Spectroscopy Analysis

Lyndsey Franklin, Nathan Hodas

NMR spectroscopy analysis is a detail-oriented analytic feat that typically requires specific domain expertise and hours of concentration. This work presents an ethnographic-style…

cs.HC20172 cited

Will Break for Productivity: Generalized Symptoms of Cognitive Depletion

Lyndsey Franklin, Kristina Lerman, Nathan Hodas

In this work, we address the symptoms of cognitive depletion as they relate to generalized knowledge workers. We unify previous findings within a single analytical model of cogniti…

cs.HC2016

Adding Semantic Information into Data Models by Learning Domain Expertise from User Interaction

Nathan Oken Hodas, Alex Endert

Interactive visual analytic systems enable users to discover insights from complex data. Users can express and test hypotheses via user interaction, leveraging their domain experti…