Examining the expectations of autonomy and human intervention in a multi-robot surveillance task. - Shameka Dawson; Chris S. Crawford; Edward Dillon 001; Monica Anderson 001 (ACM Southeast Regional Conference, 2012)

Work in Progress: Enabling robot device discovery through robot device descriptions - Monica Anderson 001; Chris S. Crawford; Paul Kilgo; Megan Stanforth (CoRR, 2013)

Using Cr-Y Components to Detect Tongue Protrusion Gestures. - Chris S. Crawford; Stephen W. Bailey; Carmen Badea; Juan E. Gilbert (CHI Extended Abstracts, 2015)

User Experience Evaluation Towards Cooperative Brain-Robot Interaction. - Chris S. Crawford; Marvin Andujar; France Jackson; Sekou L. Remy; Juan E. Gilbert (HCI (1), 2015)

Televoting: Secure, Overseas Voting. - Chris S. Crawford; Naja A. Mack; Wanda Eugene; Juan E. Gilbert (HCI (22), 2015)

Towards Analyzing Cooperative Brain-Robot Interfaces Through Affective and Subjective Data. - Chris S. Crawford; Juan E. Gilbert (HRI (Extended Abstracts), 2015)

Affecting operator trust in intelligent multirobot surveillance systems. - Shameka Dawson; Chris S. Crawford; Edward Dillon 001; Monica Anderson 001 (ICRA, 2015)

Neurophysiological Heat Maps for Human-Robot Interaction Evaluation. - Chris S. Crawford; Marvin Andujar; Juan E. Gilbert (AAAI Fall Symposia, 2017)

NeuroSnap: Expressing the User's Affective State with Facial Filters. - Ryan Lieblein; Camille Hunter; Sarah Garcia; Marvin Andujar; Chris S. Crawford; Juan E. Gilbert (HCI (15), 2017)

NeuroBlock: A block-based programming approach to neurofeedback application development. - Chris S. Crawford; Juan E. Gilbert (VL/HCC, 2017)

WebBCI: An Electroencephalography Toolkit Built on Modern Web Technologies. - Pierce Stegman; Chris S. Crawford; Jeff Gray 001 (HCI (15), 2018)

Brain-Computer Interface for Novice Programmers. - Chris S. Crawford; Christina Gardner-McCune; Juan E. Gilbert (SIGCSE, 2018)

Brain Butler: The Proactive Personal Assistant. - Ethan Mines; Chris S. Crawford (ACM Southeast Regional Conference, 2019)

Neurophysiological Closed-Loop Control for Competitive Multi-brain Robot Interaction. - Bryan Hernandez-Cuevas; Elijah Sawyers; Landon Bentley; Chris S. Crawford; Marvin Andujar (AHFE (11), 2019)

Leveraging Neurophysiological Information to Augment Interpretation of Responses to Vulnerable Robot Behaviors. - Amanda K. Holloman; William Egbert; Pierce Stegman; Nicholas Cioli; Chris S. Crawford (HRI, 2019)

Brains and Blocks: Introducing Novice Programmers to Brain-Computer Interface Application Development. - Chris S. Crawford; Juan E. Gilbert (ACM Trans. Comput. Educ., 2019)

Changing Minds: Exploring Brain-Computer Interface Experiences with High School Students. - Bryan Hernandez-Cuevas; William Egbert; André R. Denham; Ajay Mehul; Chris S. Crawford (CHI Extended Abstracts, 2020)

ASL Recognition Based on Kinematics Derived from a Multi-Frequency RF Sensor Network. - Sevgi Zubeyde Gurbuz; Ali Cafer Gürbüz; Evie Malaia; Darrin J. Griffin; Chris S. Crawford; Emre Kurtoglu; Mohammad Mahbubur Rahman; Ridvan Aksu; Robiulhossain Mdrafi (IEEE SENSORS, 2020)

American Sign Language Recognition Using RF Sensing. - Sevgi Zubyede Gurbuz; Ali Cafer Gürbüz; Evie Malaia; Darrin J. Griffin; Chris S. Crawford; Mohammad Mahbubur Rahman; Emre Kurtoglu; Ridvan Aksu; Trevor Macks; Robiulhossain Mdrafi (CoRR, 2020)

Brain-Computer Interface Software: A Review and Discussion. - Pierce Stegman; Chris S. Crawford; Marvin Andujar; Anton Nijholt; Juan E. Gilbert (IEEE Trans. Hum. Mach. Syst., 2020)

Web-based Simulator for Studying Shared Control of Autonomous Platoons. - Utkarsh Singh; Chris S. Crawford (AutomotiveUI (adjunct), 2021)

Towards Web-based Environments for Prototyping Social Robot Applications. - Brisaac Johnson; Bryan Y. Hernández-Cuevas; Utkarsh Singh; Chris S. Crawford; Vishesh Vikas; André R. Denham (HRI (Companion), 2021)

Word-Level ASL Recognition and Trigger Sign Detection with RF Sensors. - Mohammad Mahbubur Rahman; Emre Kurtoglu; Robiulhossain Mdrafi; Ali Cafer Gürbüz; Evie Malaia; Chris S. Crawford; Darrin J. Griffin; Sevgi Zubeyde Gurbuz (ICASSP, 2021)

Towards Applying Real Time Physiological Data and Gamification to Machine Learning Educational Systems. - Bryan Y. Hernández-Cuevas; Chris S. Crawford (SIGCSE, 2021)

A Literature Review of Physiological-Based Mobile Educational Systems. - Bryan Y. Hernández-Cuevas; Chris S. Crawford (IEEE Trans. Learn. Technol., 2021)

Can you smell me now: towards a remote olfactory study. - Amanda K. Holloman; Chris S. Crawford (ACM Southeast Regional Conference, 2022)

MTeacher: A Gamified and Physiological-Based Web Application Designed for Machine Learning Education. - Bryan Y. Hernández-Cuevas; Chris S. Crawford (HCI (7), 2022)

Effect of Kinematics and Fluency in Adversarial Synthetic Data Generation for ASL Recognition With RF Sensors. - Mohammad Mahbubur Rahman; Evie Malaia; Ali Cafer Gürbüz; Darrin J. Griffin; Chris S. Crawford; Sevgi Zubeyde Gurbuz (IEEE Trans. Aerosp. Electron. Syst., 2022)

ASL Trigger Recognition in Mixed Activity/Signing Sequences for RF Sensor-Based User Interfaces. - Emre Kurtoglu; Ali Cafer Gürbüz; Evie Malaia; Darrin J. Griffin; Chris S. Crawford; Sevgi Zubeyde Gurbuz (IEEE Trans. Hum. Mach. Syst., 2022)

Defining Scents: A Systematic Literature Review of Olfactory-based Computing Systems. - Amanda K. Holloman; Chris S. Crawford (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Investigating the Design of Just-in-Time Adaptive Interventions (JITAIs) Messages Targeting Eating Behaviors. - Eric C. Moses; Chris S. Crawford; Edward Sazonov; Megan A. McCrory; John Graham Thomas; Janine A. Higgins (ACM Southeast Regional Conference, 2023)

LITI: Learning with Interactive Time Series Information. - Myles Lewis; Amanda K. Holloman; Feiya Luo; André R. Denham; Chris S. Crawford (VL/HCC, 2023)

Towards a Brain-Computer Interface Framework for Multi-Party Robot Applications. - Myles Lewis; Wesley Junkins; Chanakya Thirumala Setty; Chris S. Crawford (ACM Southeast Regional Conference, 2024)

Towards Blockchain-Based Incentives for STEM Education. - Myles Lewis; Chris S. Crawford (HCI (59), 2024)

Maximizing Efficiency in Real-Time Invariant Object Detection: A Multi-algorithm Approach. - Chanakya Thirumala Setty; Chris S. Crawford (HCI (62), 2024)

BCI Exploration of User Responses to Vulnerable and Expressive Robot Behaviors. - Roya Salehzadeh; Harish Bezawada; Chris S. Crawford (HRI (Companion), 2024)

Novel Insights into Elementary Girls' Experiences in Physiological Computing. - Feiya Luo; Ruohan Liu; Idowu David Awoyemi; Chris S. Crawford; Fatema Nasrin (SIGCSE (1), 2024)

Architectural Design for Secure Smart Contract Development. - Myles Lewis; Chris S. Crawford (CoRR, 2024)

PhysioBots: Engaging K-12 Students with Physiological Computing and Robotics. - Myles Lewis; Pranay Joshi; Wesley Cade Junkins; Vincent Ingram; Chris S. Crawford (CHI Extended Abstracts, 2025)

PhysioML: A Web-Based Tool for Machine Learning Education with Real-Time Physiological Data. - Bryan Y. Hernández-Cuevas; Myles Lewis; Wesley Junkins; Chris S. Crawford; André R. Denham; Feiya Luo (SIGCSE (1), 2025)

Collaborative Design of a Week-long Physiological Computing Summer Camp with Elementary Teachers. - Feiya Luo; Amy Hutchison; Chris S. Crawford; Fatema Nasrin; Idowu David Awoyemi (SIGCSE (2), 2025)

Physiological Computing for All: Exploring Neural Interface Education. - Chris S. Crawford (Interactions, 2025)