Border Security Credibility Assessments via Heterogeneous Sensor Fusion. - Douglas C. Derrick; Aaron C. Elkins; Judee K. Burgoon; Jay F. Nunamaker Jr.; Daniel Dajun Zeng (IEEE Intell. Syst., 2010)

Embodied Conversational Agent - Based Kiosk for Automated Interviewing. - Jay F. Nunamaker Jr.; Douglas C. Derrick; Aaron C. Elkins; Judee K. Burgoon; Mark W. Patton (J. Manag. Inf. Syst., 2011)

Predicting Users' Perceived Trust in Embodied Conversational Agents Using Vocal Dynamics. - Aaron C. Elkins; Douglas C. Derrick; Judee K. Burgoon; Jay F. Nunamaker Jr. (HICSS, 2012)

Don't Lie to Me: The Impact of Deception on Vocalic and Linguistic Synchrony. - Debra L. Tower; Matthew L. Jensen; Norah E. Dunbar; Aaron C. Elkins (EISIC, 2013)

A Systems Approach to Countermeasures in Credibility Assessment Interviews. - Nathan W. Twyman; Ryan M. Schuetzler; Jeffrey Gainer Proudfoot; Aaron C. Elkins (ICIS, 2013)

Are Users Threatened by Credibility Assessment Systems? - Aaron C. Elkins; Norah E. Dunbar; Bradley J. Adame; Jay F. Nunamaker Jr. (J. Manag. Inf. Syst., 2013)

Pitch detection algorithms modifications and implementations towards automated vocal analysis. - Yuhong Zhang; Aaron C. Elkins; Jay F. Nunamaker Jr. (ICNSC, 2014)

A Rigidity Detection System for Automated Credibility Assessment. - Nathan W. Twyman; Aaron C. Elkins; Judee K. Burgoon; Jay F. Nunamaker Jr. (J. Manag. Inf. Syst., 2014)

Robustness of Multiple Indicators in Automated Screening Systems for Deception Detection. - Nathan W. Twyman; Jeffrey Gainer Proudfoot; Ryan M. Schuetzler; Aaron C. Elkins; Douglas C. Derrick (J. Manag. Inf. Syst., 2015)

Embodied Conversational Agent-Based Deception Detection: Concealed Information Test Using Automated Electrodermal, Vocal, and Oculmentric Measurements. - Aaron C. Elkins; Jeffrey Gainer Proudfoot; Nathan W. Twyman; Judee K. Burgoon; Jay F. Nunamaker Jr. (IntelliSys (2), 2016)

The INTERSPEECH 2016 Computational Paralinguistics Challenge: Deception, Sincerity & Native Language. - Björn W. Schuller; Stefan Steidl; Anton Batliner; Julia Hirschberg; Judee K. Burgoon; Alice Baird; Aaron C. Elkins; Yue Zhang 014; Eduardo Coutinho; Keelan Evanini (INTERSPEECH, 2016)

The Deception Sub-Challenge: The Data. - Björn W. Schuller; Stefan Steidl; Anton Batliner; Julia Hirschberg; Judee K. Burgoon; Alice Baird; Aaron C. Elkins; Yue Zhang 014; Eduardo Coutinho; Keelan Evanini (INTERSPEECH, 2016)

The Sincerity Sub-Challenge: The Data. - Björn W. Schuller; Stefan Steidl; Anton Batliner; Julia Hirschberg; Judee K. Burgoon; Alice Baird; Aaron Elkins; Yue Zhang 014; Eduardo Coutinho; Keelan Evanini (INTERSPEECH, 2016)

The Native Language Sub-Challenge: The Data. - Björn W. Schuller; Stefan Steidl; Anton Batliner; Julia Hirschberg; Judee K. Burgoon; Alice Baird; Aaron Elkins; Yue Zhang 014; Eduardo Coutinho; Keelan Evanini (INTERSPEECH, 2016)

The INTERSPEECH 2016 Computational Paralinguistics Challenge: A Summary of Results. - Björn W. Schuller; Stefan Steidl; Anton Batliner; Julia Hirschberg; Judee K. Burgoon; Alice Baird; Aaron Elkins; Yue Zhang 014; Eduardo Coutinho; Keelan Evanini (INTERSPEECH, 2016)

Discussion. - Björn W. Schuller; Stefan Steidl; Anton Batliner; Julia Hirschberg; Judee K. Burgoon; Alice Baird; Aaron Elkins; Yue Zhang 014; Eduardo Coutinho; Keelan Evanini (INTERSPEECH, 2016)

Mitigating bias blind spot via a serious video game. - Elena Bessarabova; Cameron W. Piercy; Shawn King; Cindy Vincent; Norah E. Dunbar; Judee K. Burgoon; Claude H. Miller; Matthew L. Jensen; Aaron C. Elkins; David W. Wilson 002; Scott N. Wilson; Yu-Hao Lee (Comput. Hum. Behav., 2016)

The Automatic Detection of Chronic Pain-Related Expression: Requirements, Challenges and the Multimodal EmoPain Dataset. - Min S. H. Aung; Sebastian Kaltwang; Bernardino Romera-Paredes; Brais Martínez; Aneesha Singh; Matteo Cella; Michel F. Valstar; Hongying Meng; Andrew Kemp; Moshen Shafizadeh; Aaron C. Elkins; Natalie Kanakam; et al. (IEEE Trans. Affect. Comput., 2016)

Social Signals of Deception and Dishonesty. - Judee K. Burgoon; Dimitris N. Metaxas; Thirimachos Bourlai; Aaron Elkins (Social Signal Processing, 2017)

Computational Analysis of Vocal Expression of Affect: Trends and Challenges. - Klaus R. Scherer; Björn W. Schuller; Aaron Elkins (Social Signal Processing, 2017)

Don't Want to Get Caught? Don't Say It: The Use of EMOJIS in Online Human Sex Trafficking Ads. - Jessica Whitney; Murray E. Jennex; Aaron Elkins; Eric G. Frost (HICSS, 2018)

A Knowledge Management Approach to Identify Victims of Human Sex Trafficking. - Marisa Hultgren; Jessica Whitney; Murray E. Jennex; Aaron Elkins (Commun. Assoc. Inf. Syst., 2018)

Humanoid Robots as Interviewers for Automated Credibility Assessment. - Aaron C. Elkins; Amit Gupte; Lance Cameron (HCI (24), 2019)

Supporting inclusive gaming communities through fostering online-offline hybrid spaces. - Rachel N. Simons; Rebekka Girard; Aaron Elkins (ASIST, 2020)

Machines as teammates: A research agenda on AI in team collaboration. - Isabella Seeber; Eva A. C. Bittner; Robert O. Briggs; Triparna de Vreede; Gert-Jan de Vreede; Aaron Elkins; Ronald Maier; Alexander B. Merz; Sarah Oeste-Reiß; Nils L. Randrup; Gerhard Schwabe; Matthias Söllner 001 (Inf. Manag., 2020)

Teaching with Color: Calling in White Faculty to Address Whiteness in the LIS Curriculum. - Sarah De La Rosa; Rachel N. Simons; Aaron Elkins (ASIST, 2021)

Actionable Intelligence-Oriented Cyber Threat Modeling Framework. - Bongsik Shin; Aaron Elkins; Lance Larson; Lance Cameron; Marc Perez (HICSS, 2022)

The future of automated capture of social kinesic signals for psychiatric purposes. - Judee K. Burgoon; Aaron C. Elkins; Douglas C. Derrick; Bradley Walls; Dimitris N. Metaxas (Frontiers Comput. Sci., 2023)

Developing Prediction Models Using Near-Infrared Spectroscopy to Quantify Cannabinoid Content in Cannabis Sativa. - Jonathan Tran; Simone Vassiliadis; Aaron C. Elkins; Noel O. I. Cogan; Simone J. Rochfort (Sensors, 2023)

Gaussian Adaptive Attention is All You Need: Robust Contextual Representations Across Multiple Modalities. - Georgios Ioannides; Aman Chadha; Aaron Elkins (CoRR, 2024)

Out-of-Distribution Detection with Attention Head Masking for Multimodal Document Classification. - Christos Constantinou; Georgios Ioannides; Aman Chadha; Aaron Elkins; Edwin Simpson (CoRR, 2024)

Density Adaptive Attention-based Speech Network: Enhancing Feature Understanding for Mental Health Disorders. - Georgios Ioannides; Adrian Kieback; Aman Chadha; Aaron Elkins (CoRR, 2024)

Rapid In Situ Near-Infrared Assessment of Tetrahydrocannabinolic Acid in Cannabis Inflorescences before Harvest Using Machine Learning. - Jonathan Tran; Simone Vassiliadis; Aaron C. Elkins; Noel Cogan; Simone J. Rochfort (Sensors, 2024)

MOD-X: A Modular Open Decentralized eXchange Framework proposal for Heterogeneous Interoperable Artificial Intelligence Agents. - Georgios Ioannides; Christos Constantinou; Vinija Jain; Aman Chadha; Aaron Elkins (CoRR, 2025)