Joseph B. Wiggins

Ph.D. Candidate, Human-Centered Computing, University of Florida
jbwiggi3@ufl.edu

Joseph Wiggins is a Ph.D. candidate advised by Dr. Kristy Elizabeth Boyer. 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 (Expected 2020)
   University of Florida

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

publications

journal articles
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]
conference papers
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. To appear. [bib]
2019
[14]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]
[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]
[12]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]
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]
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]
[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]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]
[7]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]
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]
[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]
[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]
[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]
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]
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. To appear. [bib]
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]
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]