Joseph B. Wiggins

Research Scientist, Computer Science, University of Florida
jbwiggi3@ufl.edu

Joseph Wiggins is a Research Scientist in the LearnDialogue Group. His research interests include pedagogical agents, affect (emotion) detection, intelligent tutoring systems and game-based learning. Through his research, Joseph hopes to improve the quality of educational technologies and increase the availability of systems to students. His current work is exploring student characteristics and making observations about effective tutorial dialogue for different groups of students. He is currently examining students' self-efficacy, or how confident the student is in their ability to meet their learning objectives.

education

Ph.D., Computer Science (2021)
   University of Florida

B.S., Computer Science (2014)
   North Carolina State University

publications

journal articles
2024
[5]The Impact of Near-Peer Virtual Agents on Computer Science Attitudes and Collaborative Dialogue. Toni Earle-Randell, Joseph Wiggins, Yingbo Ma, Mehmet Celepkolu, Dolly Bounajim, Zhikai Gao, Julianna Martinez Ruiz, Kristy Elizabeth Boyer, Maya Israel, Collin Lynch, Eric Wiebe. International Journal of Child-Computer Interaction, vol. 40, 2024, pp. 100646. [bib] [doi]
2022
[4]The Relationship between Co-Creative Dialogue and High School Learners' Satisfaction with their Collaborator in Computational Music Remixing. Gloria Ashiya Katuka, Alexander Webber, Joseph B. Wiggins, Kristy Elizabeth Boyer, Brian Magerko, Tom McKlin, Jason Freeman. Proceedings of the ACM on Human-Computer Interaction, vol. 6 no. CSCW1, 2022, pp. 1-24. [bib] [doi]
[3]Investigating the Relationship Between Dialogue States and Partner Satisfaction During Co-Creative Learning Tasks. Amanda E. Griffith, Gloria Ashiya Katuka, Joseph B. Wiggins, Kristy Elizabeth Boyer, Jason Freeman, Brian Magerko, Tom McKlin. International Journal of Artificial Intelligence in Education, 2022. [bib] [doi]
2021
[2]Designing a Visualization Tool for Children to Reflect on Their Collaborative Dialogue. Mehmet Celepkolu, Joseph B. Wiggins, Aisha Chung Galdo, Kristy Elizabeth Boyer. International Journal of Child-Computer Interaction, vol. 27 no. 100232, 2021, pp. 1-14. [bib] [doi]
2016
[1]Do You Think You Can? The Influence of Student Self-Efficacy on the Effectiveness of Tutorial Dialogue for Computer Science. Joseph B. Wiggins, Joseph F. Grafsgaard, Kristy Elizabeth Boyer, Eric N. Wiebe, James C. Lester. International Journal of Artificial Intelligence in Education, 2016, pp. 1-24. [bib] [doi]
conference papers
2023
[23]Confusion, Conflict, Consensus: Modeling Dialogue Processes during Collaborative Learning with Hidden Markov Models. Toni V Earle-Randell, Joseph B. Wiggins, Julianna Martinez Ruiz, Mehmet Celepkolu, Kristy Elizabeth Boyer, Collin F. Lynch, Maya Israel, Eric Wiebe. The 24th International Conference on Artificial Intelligence in Education, 2023, pp. 615-626. [bib]
[22]Exploring Usability Issues in Instruction-Based and Schema-Based Authoring of Task-Oriented Dialogue Agents. Amogh Mannekote, Mehmet Celepkolu, Joseph B. Wiggins, Kristy Elizabeth Boyer. Proceedings of the 5th International Conference on Conversational User Interfaces, 2023, pp. 1-6. [bib] [doi]
2021
[21]Progression Trajectory-Based Student Modeling for Novice Block-Based Programming. Fahmid Morshed Fahid, Xiaoyi Tian, Andrew Emerson, Joseph B. Wiggins, Dolly Bounajim, Andy Smith, Eric Wiebe, Bradford Mott, Kristy Elizabeth Boyer, James Lester. Proceedings of the 29th Conference on User Modeling Adaptation and Personalization (UMAP), 2021, pp. 189-200. [bib] [doi]
[20]The Challenge of Noisy Classrooms: Speaker Detection During Elementary Students’ Collaborative Dialogue. Yingbo Ma, Joseph B. Wiggins, Mehmet Celepkolu, Kristy Elizabeth Boyer, Collin Lynch, Eric Wiebe. Proceedings of the 22nd International Conference on Artificial Intelligence in Education, 2021, pp. 268-281. [bib] [doi]
[19]Modeling Frustration Trajectories and Problem-Solving Behaviors in Adaptive Learning Environments for Introductory Computer Science. Xiaoyi Tian, Joseph B. Wiggins, Fahmid Morshed Fahid, Andrew Emerson, Dolly Bounajim, Andy Smith, Kristy Elizabeth Boyer, Eric Wiebe, Bradford Mott, James Lester. Proceedings of the International Conference on Artificial Intelligence in Education, 2021, pp. 355-360. [bib] [doi]
[18]Discovering Co-creative Dialogue States during Collaborative Learning. Amanda E. Griffith, Gloria Ashiya Katuka, Joseph B. Wiggins, Kristy Elizabeth Boyer, Jason Freeman, Brian Magerko, Tom McKlin. Proceedings of the International Conference on Artificial Intelligence in Education, 2021, pp. 165-177. [bib] [doi]
[17]Exploring Novice Programmers' Hint Requests in an Intelligent Block-Based Learning Environment. Joseph B. Wiggins, Fahmid M. Fahid, Andrew Emerson, Madeline Hinckle, Andy Smith, Kristy Elizabeth Boyer, Bradford Mott, Eric Wiebe, James Lester. Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE), 2021, pp. 52-58. [bib] [doi]
[16]Applying Cognitive Load Theory to Examine STEM Undergraduate Students’ Experiences in An Adaptive Learning Environment: A Mixed-Methods Study. Dolly Bounajim, Arif Rachmatullah, Madeline Hinckle, James Lester, Bradford Mott, Andy Smith, Andrew Emerson, Fahmid Fahid, Xiaoyi Tian, Joseph Wiggins, Kristy Elizabeth Boyer, Eric Wiebe. In the Proceedings of 65th International Annual Meeting on Human Factors and Ergonomics Society (HFES), 2021, pp. 556-560. [bib]
2020
[15]A Comparison of Two Pair Programming Configurations for Upper Elementary Students. Jennifer Tsan, Jessica Vandenberg, Zarifa Zakaria, Joseph B. Wiggins, Alexander R. Webber, Amanda Bradbury, Collin Lynch, Eric Wiebe, Kristy Elizabeth Boyer. Proceedings of the 51st ACM Technical Symposium on Computer Science Education (SIGCSE), Portland, Oregon, 2020, pp. 346-352. [bib] [doi]
2019
[14]From Doodles to Designs: Participatory Pedagogical Agent Design with Elementary Students. Joseph B. Wiggins, Jamieka Wilkinson, Lara Baigorria, Yingwen Huang, Kristy Elizabeth Boyer, Collin Lynch, Eric Wiebe. Proceedings of the 18th ACM International Conference on Interaction Design and Children, 2019, pp. 642-647. [bib] [doi]
[13]Take the Initiative: Mixed Initiative Dialogue Policies for Pedagogical Agents in Game-Based Learning Environments. Joseph B. Wiggins, Mayank Kulkarni, Wookhee Min, Kristy Elizabeth Boyer, Bradford Mott, Eric Wiebe, James Lester. Proceedings of the International Conference on Artificial Intelligence in Education, 2019, pp. 314-318. [bib] [doi]
[12]Predicting Dialogue Breakdown in Conversational Pedagogical Agents with Multimodal LSTMs. Wookhee Min, Kyungjin Park, Joseph Wiggins, Bradford Mott, Eric Wiebe, Kristy Elizabeth Boyer, James Lester. Proceedings of the International Conference on Artificial Intelligence in Education, 2019, pp. 195-200. [bib] [doi]
2018
[11]Affect-based Early Prediction of Player Mental Demand and Engagement for Educational Games. Joseph B. Wiggins, Mayank Kulkarni, Wookhee Min, Kristy Elizabeth Boyer, Bradford Mott, Eric Wiebe, James Lester. The 14th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE'18), 2018, pp. 243-249. [bib] [doi]
2017
[10]"Thanks Alisha, Keep in Touch": Gender Effects and Engagement with Virtual Learning Companions. Lydia G. Pezzullo, Joseph B. Wiggins, Megan H. Frankosky, Wookhee Min, Kristy Elizabeth Boyer, Bradford W. Mott, Eric N. Wiebe, James C. Lester. Proceedings of the International Conference on Artificial Intelligence in Education, Wuhan, China, 2017, pp. 299—310. [bib] [doi]
[9]Think First: Fostering Substantive Contributions in Collaborative Problem-Solving Dialogues. Mehmet Celepkolu, Joseph B. Wiggins, Kristy Elizabeth Boyer, Kyla McMullen. Proceedings of the 12th International Conference on Computer Supported Collaborative Learning (CSCL), Philadelphia, Pennsylvania, 2017, pp. 295–302. [bib]
2016
[8]The Affective Impact of Tutor Questions: Predicting Frustration and Engagement. Alexandria K. Vail, Joseph B. Wiggins, Joseph F. Grafsgaard, Kristy Elizabeth Boyer, Eric N. Wiebe, James C.. Lester. Proceedings of the 9th International Conference on Educational Data Mining, Raleigh, North Carolina, 2016, pp. 247-254. [bib]
[7]Predicting Dialogue Acts for Intelligent Virtual Agents with Multimodal Student Interaction Data. Wookhee Min, Joseph B. Wiggins, Lydia G. Pezzullo, Alexandria K. Vail, Kristy Elizabeth Boyer, Bradford W. Mott, Megan H. Frankosky, Eric N. Wiebe, James C. Lester. Proceedings of the 9th International Conference on Educational Data Mining, Raleigh, North Carolina, 2016, pp. 454-459. [bib]
2014
[6]The Additive Value of Multimodal Features for Predicting Engagement, Frustration, and Learning during Tutoring. Joseph F. Grafsgaard, Joseph B. Wiggins, Alexandria K. Vail, Kristy Elizabeth Boyer, Eric N. Wiebe, James C. Lester. Proceedings of the ACM International Conference on Multimodal Interaction (ICMI), Istanbul, Turkey, 2014, pp. 42-49. [bib] [doi]
[5]Predicting Learning and Engagement in Tutorial Dialogue: A Personality-Based Model. Alexandria Katarina Vail, Joseph F. Grafsgaard, Joseph B. Wiggins, James C. Lester, Kristy Elizabeth Boyer. Proceedings of the 16th International Conference on Multimodal Interaction (ICMI), Istanbul, Turkey, 2014, pp. 255-262. [bib] [doi]
[4]Predicting Learning and Affect from Multimodal Data Streams in Task-Oriented Tutorial Dialogue. Joseph F. Grafsgaard, Joseph B. Wiggins, Kristy Elizabeth Boyer, Eric N. Wiebe, James C. Lester. Proceedings of the 7th International Conference on Educational Data Mining (EDM), London, United Kingdom, 2014, pp. 122-129. [bib]
2013
[3]Automatically Recognizing Facial Indicators of Frustration: A Learning-Centric Analysis. Joseph F. Grafsgaard, Joseph B. Wiggins, Kristy Elizabeth Boyer, Eric N. Wiebe, James C. Lester. Proceedings of the International Conference on Affective Computing and Intelligent Interaction (ACII), Geneva, Switzerland, 2013, pp. 159-165. [bib] [doi]
[2]Automatically Recognizing Facial Expression: Predicting Engagement and Frustration. Joseph F. Grafsgaard, Joseph B. Wiggins, Kristy Elizabeth Boyer, Eric N. Wiebe, James C. Lester. Proceedings of the International Conference on Educational Data Mining (EDM), Memphis, Tennessee, 2013, pp. 43-50. [bib]
[1]Embodied Affect in Tutorial Dialogue: Student Gesture and Posture. Joseph F. Grafsgaard, Joseph B. Wiggins, Kristy Elizabeth Boyer, Eric N. Wiebe, James C. Lester. Proceedings of the 16th International Conference on Artificial Intelligence in Education (AIED), Memphis, Tennessee, 2013, pp. 1-10. [bib] [doi]
workshop papers
2018
[3]User Affect and No-Match Dialogue Scenarios: An Analysis of Facial Expression. Joseph B. Wiggins, Mayank Kulkarni, Wookhee Min, Kristy Elizabeth Boyer, Bradford Mott, Eric Wiebe, James Lester. Proceedings of the 4th International Workshop on Multimodal Analyses enabling Artificial Agents in Human-Machine Interaction (MA3HMI), 2018, pp. 6-14. [bib] [doi]
2017
[2]Conversational UX Design for Kids: Toward Learning Companions. Joseph B. Wiggins, Lydia G. Pezzullo, Kristy Elizabeth Boyer, Bradford W. Mott, Eric N. Wiebe, James C. Lester. Proceedings of the Conversational UX Design CHI 2017 Workshop, Denver, Colorado, 2017. [bib]
2014
[1]Exploring the Relationship between Self-Efficacy and the Effectiveness of Tutorial Interactions. Joseph B. Wiggins, Joseph F. Grafsgaard, Christopher M. Mitchell, Kristy Elizabeth Boyer, Eric N. Wiebe, James C. Lester. Proceedings of the 2nd Workshop on AI-supported Education for Computer Science (AIEDCS), Honolulu, Hawaii, 2014, pp. 31-40. [bib]
posters
2020
[3]Novice Debugging in Block-Based and Hybrid Environments. Phoebe Martinez, John Lopez, Fernando J. Rodríguez, Joseph B. Wiggins, Kristy Elizabeth Boyer. Proceedings of the 51st ACM Technical Symposium on Computer Science Education (SIGCSE), Portland, Oregon, 2020, pp. 1291. [bib] [doi]
2014
[2]Exploring the Relationship Between Task Difficulty and Emotion in Online Computer Programming Tutoring. Joseph B. Wiggins, Joseph F. Grafsgaard, Kristy Elizabeth Boyer, Eric N. Wiebe, James C. Lester. Proceedings of the 45th ACM Technical Symposium on Computer Science Education (SIGCSE), Atlanta, Georgia, USA, 2014, pp. 721-721. [bib] [doi]
2013
[1]Modeling Student Programming with Multimodal Learning Analytics. Joseph F. Grafsgaard, Joseph B. Wiggins, Kristy Elizabeth Boyer, Eric N. Wiebe, James C. Lester. Proceedings of the ACM Technical Symposium on Computer Science Education (SIGCSE), Denver, Colorado, 2013, pp. 736-736. [bib] [doi]