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Chris S. Crawford

Chris Smith Crawford Jr.

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affiliation: University of Alabama, Human Technology Interaction Lab, Tuscaloosa, AL, USA
affiliation: University of Florida, Department of Computer Science, Gainesville, FL, USA

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2020 – today

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2024
[c29]
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Myles Lewis, Wesley Junkins, Chanakya Thirumala Setty, Chris S. Crawford:
Towards a Brain-Computer Interface Framework for Multi-Party Robot Applications. ACM Southeast Regional Conference 2024: 309-310
[c28]
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Myles Lewis, Chris S. Crawford:
Towards Blockchain-Based Incentives for STEM Education. HCI (59) 2024: 123-134
[c27]
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Chanakya Thirumala Setty, Chris S. Crawford:
Maximizing Efficiency in Real-Time Invariant Object Detection: A Multi-algorithm Approach. HCI (62) 2024: 138-145
[c26]
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Roya Salehzadeh, Harish Bezawada, Chris S. Crawford:
BCI Exploration of User Responses to Vulnerable and Expressive Robot Behaviors. HRI (Companion) 2024: 925-929
[c25]
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Feiya Luo, Ruohan Liu, Idowu David Awoyemi, Chris S. Crawford, Fatema Nasrin:
Novel Insights into Elementary Girls' Experiences in Physiological Computing. SIGCSE (1) 2024: 764-770
[i3]
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Myles Lewis, Chris S. Crawford:
Architectural Design for Secure Smart Contract Development. CoRR abs/2401.01891 (2024)
2023
[c24]
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Eric C. Moses, Chris S. Crawford, Edward Sazonov, Megan A. McCrory, John Graham Thomas, Janine A. Higgins:
Investigating the Design of Just-in-Time Adaptive Interventions (JITAIs) Messages Targeting Eating Behaviors. ACM Southeast Regional Conference 2023: 144-148
[c23]
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Myles Lewis, Amanda K. Holloman, Feiya Luo, André R. Denham, Chris S. Crawford:
LITI: Learning with Interactive Time Series Information. VL/HCC 2023: 266-268
2022
[j6]
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  - journals/taes/RahmanMGGCG22
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Mohammad Mahbubur Rahman, Evie Malaia, Ali Cafer Gürbüz, Darrin J. Griffin, Chris S. Crawford, Sevgi Zubeyde Gurbuz:
Effect of Kinematics and Fluency in Adversarial Synthetic Data Generation for ASL Recognition With RF Sensors. IEEE Trans. Aerosp. Electron. Syst. 58(4): 2732-2745 (2022)
[j5]
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Emre Kurtoglu, Ali Cafer Gürbüz, Evie Malaia, Darrin J. Griffin, Chris S. Crawford, Sevgi Zubeyde Gurbuz:
ASL Trigger Recognition in Mixed Activity/Signing Sequences for RF Sensor-Based User Interfaces. IEEE Trans. Hum. Mach. Syst. 52(4): 699-712 (2022)
[j4]
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Amanda K. Holloman, Chris S. Crawford:
Defining Scents: A Systematic Literature Review of Olfactory-based Computing Systems. ACM Trans. Multim. Comput. Commun. Appl. 18(1): 15:1-15:22 (2022)
[c22]
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Amanda K. Holloman, Chris S. Crawford:
Can you smell me now: towards a remote olfactory study. ACM Southeast Regional Conference 2022: 17-24
[c21]
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  - conf/hci/Hernandez-Cuevas22
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Bryan Y. Hernández-Cuevas, Chris S. Crawford:
MTeacher: A Gamified and Physiological-Based Web Application Designed for Machine Learning Education. HCI (7) 2022: 435-445
2021
[j3]
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Bryan Y. Hernández-Cuevas, Chris S. Crawford:
A Literature Review of Physiological-Based Mobile Educational Systems. IEEE Trans. Learn. Technol. 14(3): 272-291 (2021)
[c20]
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  - conf/automotiveUI/SinghC21
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Utkarsh Singh, Chris S. Crawford:
Web-based Simulator for Studying Shared Control of Autonomous Platoons. AutomotiveUI (adjunct) 2021: 53-56
[c19]
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  - conf/hri/JohnsonHSCVD21
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Brisaac Johnson, Bryan Y. Hernández-Cuevas, Utkarsh Singh, Chris S. Crawford, Vishesh Vikas, André R. Denham:
Towards Web-based Environments for Prototyping Social Robot Applications. HRI (Companion) 2021: 308-312
[c18]
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Mohammad Mahbubur Rahman, Emre Kurtoglu, Robiulhossain Mdrafi, Ali Cafer Gürbüz, Evie Malaia, Chris S. Crawford, Darrin J. Griffin, Sevgi Zubeyde Gurbuz:
Word-Level ASL Recognition and Trigger Sign Detection with RF Sensors. ICASSP 2021: 8233-8237
[c17]
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Bryan Y. Hernández-Cuevas, Chris S. Crawford:
Towards Applying Real Time Physiological Data and Gamification to Machine Learning Educational Systems. SIGCSE 2021: 1271
2020
[j2]
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Pierce Stegman, Chris S. Crawford, Marvin Andujar, Anton Nijholt, Juan E. Gilbert:
Brain-Computer Interface Software: A Review and Discussion. IEEE Trans. Hum. Mach. Syst. 50(2): 101-115 (2020)
[c16]
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Bryan Hernandez-Cuevas, William Egbert, André R. Denham, Ajay Mehul, Chris S. Crawford:
Changing Minds: Exploring Brain-Computer Interface Experiences with High School Students. CHI Extended Abstracts 2020: 1-10
[c15]
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  - conf/ieeesensors/GurbuzGMGCKRAM20
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Sevgi Zubeyde Gurbuz, Ali Cafer Gürbüz, Evie Malaia, Darrin J. Griffin, Chris S. Crawford, Emre Kurtoglu, Mohammad Mahbubur Rahman, Ridvan Aksu, Robiulhossain Mdrafi:
ASL Recognition Based on Kinematics Derived from a Multi-Frequency RF Sensor Network. IEEE SENSORS 2020: 1-4
[i2]
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  - journals/corr/abs-2009-01224
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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:
American Sign Language Recognition Using RF Sensing. CoRR abs/2009.01224 (2020)

2010 – 2019

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2019
[j1]
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Chris S. Crawford, Juan E. Gilbert:
Brains and Blocks: Introducing Novice Programmers to Brain-Computer Interface Application Development. ACM Trans. Comput. Educ. 19(4): 39:1-39:27 (2019)
[c14]
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Ethan Mines, Chris S. Crawford:
Brain Butler: The Proactive Personal Assistant. ACM Southeast Regional Conference 2019: 273-274
[c13]
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Bryan Hernandez-Cuevas, Elijah Sawyers, Landon Bentley, Chris S. Crawford, Marvin Andujar:
Neurophysiological Closed-Loop Control for Competitive Multi-brain Robot Interaction. AHFE (11) 2019: 141-149
[c12]
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Amanda K. Holloman, William Egbert, Pierce Stegman, Nicholas Cioli, Chris S. Crawford:
Leveraging Neurophysiological Information to Augment Interpretation of Responses to Vulnerable Robot Behaviors. HRI 2019: 566-567
2018
[c11]
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Pierce Stegman, Chris S. Crawford, Jeff Gray:
WebBCI: An Electroencephalography Toolkit Built on Modern Web Technologies. HCI (15) 2018: 212-221
[c10]
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Chris S. Crawford, Christina Gardner-McCune, Juan E. Gilbert:
Brain-Computer Interface for Novice Programmers. SIGCSE 2018: 32-37
2017
[c9]
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Chris S. Crawford, Marvin Andujar, Juan E. Gilbert:
Neurophysiological Heat Maps for Human-Robot Interaction Evaluation. AAAI Fall Symposia 2017: 90-93
[c8]
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  - conf/hci/LiebleinHGACG17
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Ryan Lieblein, Camille Hunter, Sarah Garcia, Marvin Andujar, Chris S. Crawford, Juan E. Gilbert:
NeuroSnap: Expressing the User's Affective State with Facial Filters. HCI (15) 2017: 345-353
[c7]
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Chris S. Crawford, Juan E. Gilbert:
NeuroBlock: A block-based programming approach to neurofeedback application development. VL/HCC 2017: 303-307
2015
[c6]
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Chris S. Crawford, Stephen W. Bailey, Carmen Badea, Juan E. Gilbert:
Using Cr-Y Components to Detect Tongue Protrusion Gestures. CHI Extended Abstracts 2015: 1331-1336
[c5]
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  - conf/hci/CrawfordAJRG15
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Chris S. Crawford, Marvin Andujar, France Jackson, Sekou L. Remy, Juan E. Gilbert:
User Experience Evaluation Towards Cooperative Brain-Robot Interaction. HCI (1) 2015: 184-193
[c4]
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  - conf/hci/CrawfordMEG15
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Chris S. Crawford, Naja A. Mack, Wanda Eugene, Juan E. Gilbert:
Televoting: Secure, Overseas Voting. HCI (22) 2015: 487-494
[c3]
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Chris S. Crawford, Juan E. Gilbert:
Towards Analyzing Cooperative Brain-Robot Interfaces Through Affective and Subjective Data. HRI (Extended Abstracts) 2015: 231-232
[c2]
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  - conf/icra/DawsonCDA15
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Shameka Dawson, Chris S. Crawford, Edward Dillon, Monica Anderson:
Affecting operator trust in intelligent multirobot surveillance systems. ICRA 2015: 3298-3304
2013
[i1]
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  - journals/corr/abs-1302-6149
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Monica Anderson, Chris S. Crawford, Paul Kilgo, Megan Stanforth:
Work in Progress: Enabling robot device discovery through robot device descriptions. CoRR abs/1302.6149 (2013)
2012
[c1]
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  - conf/ACMse/DawsonCDA12
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Shameka Dawson, Chris S. Crawford, Edward Dillon, Monica Anderson:
Examining the expectations of autonomy and human intervention in a multi-robot surveillance task. ACM Southeast Regional Conference 2012: 345-346

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