- All Papers
- ANAC
- IAGO
- Journal
- Award-Winning
- 2021
- 2020
- 2019
- 2018
- 2017
- 2016
- 2015
IAGO
Pandemic Panic: The Effect of Disaster-Related Stress on Negotiation Outcomes
IVA, 2021
Journal
An Expert-Model & Machine Learning Hybrid Approach to Predicting Human-Agent Negotiation Outcomes in Varied Data
Journal of Multimodal User Interfaces, 2021
Journal
The Effects of Experience on Deception in Human-Agent Negotiation
Journal of Artificial Intelligence Research, 2020
IAGO
Varied Magnitude Favor Exchange in Human-Agent Negotiation
IVA, 2020
ANAC
Research Challenges for the Automated Negotiating Agents Competition
Agreement Technologies, 2020
ANAC
The Likeability-Success Trade Off: Results of the 2nd Annual Human-Agent Automated Negotiating Agents Competition
ACII, 2019
What's On Your Virtual Mind? Mind Perception in Human-Agent Negotiations
IVA, 2019
ANAC
Results of the First Annual Human-Agent League of the Automated Negotiating Agents Competition
IVA, 2018
An Expert-Model & Machine Learning Hybrid Approach to Predicting Human-Agent Negotiation Outcomes
IVA, 2019
IAGO
Welcome to the Real World: How Agent Strategy Increases Human Willingness to Deceive
AAMAS, 2018
Finalist: Best Paper, Socially Interactive Agents Track
Effects of Perceived Agency and Message Tone in Responding to a Virtual Personal Trainer
IVA, 2018
IAGO
Towards a Repeated Negotiating Agent that Treats People Individually: Cooperation, Social Value Orientation, & Machiavellianism
IJCAI, 2018
IAGO
The Effectiveness of Competitive Agent Strategy in Human-Agent Negotiation
APA Technology, Mind, & Society, 2018
IAGO
Grumpy & Pinocchio: Answering Human-Agent Negotiation Questions through Realistic Agent Design
AAMAS, 2017
Human-Like Agents for Repeated Negotiation
Intelligence, 2017
Prestige Questions, Online Agents, and Gender-Driven Differences in Disclosure
IVA, 2017
IAGO
IAGO: Interactive Arbitration Guide Online
AAMAS, 2016
Finalist: Best Demonstration Paper
Saying YES! The Cross-Cultural Complexities of Favors and Trust in Human-Agent Negotiation
ACII, 2015
Towards Social-Emotional Virtual Humans
AAMAS, 2015
An Effective Conversation Tactic for Creating Value over Repeated Negotiations
AAMAS, 2015
Toward Natural Turn-Taking in a Virtual Human Negotiation Agent
AAAI Spring Symposium, 2015
- NEW!
Pandemics change how people think:
Mell, J., Lucas, G. M., & Gratch, J. (2021, September). Pandemic Panic: The Effect of Disaster-Related Stress on Negotiation Outcomes. In Proceedings of the 21st ACM International Conference on Intelligent Virtual Agents (pp. 148-155). - Hybrid ML and Theory Approaches:
Mell, J., Beissinger, M., Gratch, J. (2021) “The Effects of Experience on Deception in Human-Agent Negotiation”, Journal of Multimodal User Interfaces. - Deception in negotiation:
Mell, J., Lucas, G., Mozgai, S., Gratch, J. (2020) “The Effects of Experience on Deception in Human-Agent Negotiation”, Journal of Artificial Intelligence Research. - Repeated favor exchange in a complex domain:
Mell, J., Lucas, G., Gratch, J. (2020) “Varied Magnitude Favor Exchange in Human-Agent Negotiation”, In Proceedings of the 2020 International Conference on Intelligent Virtual Agents. - Results of the Third Annual Human-Agent League of the Automated Negotiating Agents Competition:
Aydoğan, R., Baarslag, T., Fujita, K., Mell, J., Gratch, J., DeJonge, D., Mohammad, Y., Nakadai, S., Morinaga, S., Osawa, H., Aranha, C., Jonker, C. (2020) “Research Challenges for the Automated Negotiating Agents Competition (ANAC) 2019”, In Agreement Technologies Conference 2020. - Results of the Second Annual Human-Agent League of the Automated Negotiating Agents Competition:
Mell, J., Gratch, J., Aydoğan, R., Baarslag, T., Jonker, C. (2019) “The Likeability-Success Trade Off: Results of the 2nd Annual Human-Agent Automated Negotiating Agents Competition”, In Proceedings of the 8th International Conference on Affective Computing & Intelligent Interaction. - Theory of mind and virtual agents:
Lee, M., Lucas, G., Mell, J., Johnson, E., Gratch, J. (2019) “What’s on Your Virtual Mind? Mind Perception in Human-Agent Negotiations”, In Proceedings of the 2019 International Conference on Intelligent Virtual Agents. - Methodological approaches to combining Machine Learning and Model-Based systems:
Mell, J., Beissinger, M. Gratch, J. (2019) “An Expert-Model & Machine Learning Hybrid Approach to Predicting Human-Agent Negotiation Outcomes”, In Proceedings of the 2019 International Conference Intelligent Virtual Agents. - Results of the First Annual Human-Agent League of the Automated Negotiating Agents Competition:
Mell, J., Gratch, J., Baarslag, T., Aydoğan, R., Jonker, C. (2018) “Results of the First Annual Human-Agent League of the Automated Negotiating Agents Competition”, In Proceedings of the 2018 International Conference on Intelligent Virtual Agents. - Favors and individual differences:
Mell, J., Lucas, G., Gratch, J. (2018) “Welcome to the Real World: How Agent Strategy Increases Human Willingness to Deceive”, In Proceedings of the 2018 International Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems.
Finalist: Best Paper, Socially Interactive Agents Track - Virtual agents helping people exercise:
Lucas, G., Krämer, N., Peters, C., Taesch, L., Mell, J., Gratch, J. (2018) “Effects of Perceived Agency and Message Tone in Responding to a Virtual Personal Trainer”, In Proceedings of the 2018 International Conference on Intelligent Virtual Agents. - Individual differences and personality with virtual agents:
Mell, J., Lucas, G., Mozgai, S., Boberg, J., Artstein, R., Gratch, J. (2018) “Towards a Repeated Negotiating Agent that Treats People Individually: Cooperation, Social Value Orientation, & Machiavellianism”, In Proceedings of the 2018 International Conference on Intelligent Virtual Agents. - Results showing that virtual humans are effective when competitive, just like humans:
Mell, J., Gratch, J. Lucas, G., (2018) “The Effectiveness of Competitive Agent Strategy in Human-Agent Negotiation.” Orally Presented at the 2018 American Psychological Association’s Technology, Mind, and Society conference. - More on IAGO, and how PinocchioAgent works:
Mell, J., Gratch, J. (2017) “Grumpy & Pinocchio: Answering Human-Agent Negotiation Questions through Realistic Agent Design”, In Proceedings of the 2017 International Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems. - Position paper on repeated negotiations:
Mell, J., (2017) “Human-Like Agents for Repeated Negotiation”, In Intelligence, 246, 32-52. - Results on the use of virtual humans to increase financial disclosure:
Mell, J., Lucas, G., Gratch, J. (2017, August) “Prestige Questions, Online Agents, and Gender-Driven Differences in Disclosure”, In International Conference on Intelligent Virtual Agents (pp. 273-282). Springer, Cham. - Cornerstone Platform for developing negotiating agents:
Mell, J., Gratch, J. (2016) “IAGO: Interactive Arbitration Guide Online”, In Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems International Foundation for Autonomous Agents and Multiagent Systems.
Finalist: Best Demonstration Paper - Corroborative results in a cross-cultural context:
Mell, J., Lucas, G., Gratch, J. Rosenfeld, A. (2015) “Saying YES! The Cross-cultural Complexities of Favors and Trust in Human-Agent Negotiation”, In Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction, 2015, Xi’an, China. - Position paper on social VH:
Mell, J. (2015) “Towards Social-Emotional Virtual Humans” In Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems International Foundation for Autonomous Agents and Multiagent Systems. - Introduction to my work on favors and negotiation:
Mell, J., Lucas, G., Gratch, J. (2015) “An Effective Conversation Tactic for Creating Value over Repeated Negotiations.” In Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems (pp. 1567-1576). International Foundation for Autonomous Agents and Multiagent Systems. - Early GUI design decisions for good agents:
DeVault, D., Mell, J., Gratch, J. (2015, March) “Toward natural turn-taking in a virtual human negotiation agent.” In 2015 AAAI Spring Symposium Series.