Johnathan Mell

Johnathan Mell
University of Southern California | USC · Institute for Creative Technologies

Doctor of Philosophy

About

21
Publications
4,541
Reads
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260
Citations
Introduction
My work is focused on creating emotional virtual humans--intelligences that exhibit human-like qualities. To this end, I create and validate emotional models taken from empirical data and use them to create virtual agents. My work has focused recently on human-agent negotiation, and creating a research platform for scientists to design and test virtual negotiating agents.
Additional affiliations
August 2014 - December 2014
University of Southern California
Position
  • Research Assistant
Description
  • Taught CSCI 104--secondary course in C++ programming.
August 2013 - present
University of Southern California
Position
  • Research Assistant
Description
  • I work under Dr. Jonathan Gratch at USC's Institute for Creative Technologies in the Virtual Humans Emotion Group.
January 2011 - May 2013
University of Pennsylvania
Position
  • Research Assistant
Description
  • Taught lab courses in digital circuit design.
Education
August 2013 - May 2020
University of Southern California
Field of study
  • Computer Science
August 2009 - May 2013
University of Pennsylvania
Field of study
  • Computer Engineering
August 2009 - May 2013
University of Pennsylvania
Field of study
  • Economics (Entrepreneurial Management)

Publications

Publications (21)
Conference Paper
Full-text available
We present the Interactive Arbitration Guide Online (IAGO) platform , a tool for designing human-aware agents for use in negotiation. Current state-of-the-art research platforms are ideally suited for agent-agent interaction. While helpful, these often fail to address the reality of human negotiation, which involves irrational actors, natural langu...
Conference Paper
Full-text available
Automated negotiation research focuses on getting the most value from a single negotiation, yet real-world settings often involve repeated serial negotiations between the same parties. Repeated negotiations are interesting because they allow the discovery of mutually beneficial solutions that don't exist within the confines of a single negotiation....
Conference Paper
Full-text available
Negotiation between virtual agents and humans is a complex field that requires designers of systems to be aware not only of the efficient solutions to a given game, but also the mechanisms by which humans create value over multiple negotiations. One way of considering the agent's impact beyond a single negotiation session is by considering the use...
Conference Paper
Full-text available
In this paper we assess our progress toward creating a virtual human negotiation agent with fluid turn-taking skills. To facilitate the design of this agent, we have collected a corpus of human-human negotiation roleplays as well as a corpus of Wizard-controlled human-agent negotiations in the same roleplay scenario. We compare the natural turn-tak...
Article
We present the results of a machine-learning approach to the analysis of several human-agent negotiation studies. By combining expert knowledge of negotiating behavior compiled over a series of empirical studies with neural networks, we show that a hybrid approach to parameter selection yields promise for designing more effective and socially intel...
Article
Negotiation is the complex social process by which multiple parties come to mutual agreement over a series of issues. As such, it has proven to be a key challenge problem for designing adequately social AIs that can effectively navigate this space. Artificial AI agents that are capable of negotiating must be capable of realizing policies and strate...
Chapter
The Automated Negotiating Agents Competition (ANAC) is a yearly-organized international contest in which participants from all over the world develop intelligent negotiating agents for a variety of negotiation problems. To facilitate the research on agent-based negotiation, the organizers introduce new research challenges every year. ANAC 2019 pose...
Conference Paper
Full-text available
Recent research shows that how we respond to other social actors depends on what sort of mind we ascribe to them. In this article we examine how perceptions of a virtual agent's mind shape behavior in human-agent negotiations. We varied descriptions and communicative behavior of virtual agents on two dimensions according to the mind perception theo...
Conference Paper
Full-text available
We present the results of a machine-learning approach to the analysis of several human-agent negotiation studies. By combining expert knowledge of negotiating behavior compiled over a series of empirical studies with neural networks, we show that a hybrid approach to parameter selection yields promise for designing-more effective and socially intel...
Conference Paper
Research has demonstrated promising benefits of applying virtual trainers to promote physical fitness. The current study investigated the value of virtual agents in the context of personal fitness, compared to trainers with greater levels of perceived agency (avatar or live human). We also explored the possibility that the effectiveness of the virt...
Conference Paper
We present the results of a study in which humans negotiate with computerized agents employing varied tactics over a repeated number of economic ultimatum games. We report that certain agents are highly effective against particular classes of humans: several individual difference measures for the human participant are shown to be critical in determ...
Conference Paper
Full-text available
We present the results of the first annual Human-Agent League of ANAC. By introducing a new human-agent negotiating platform to the research community at large, we facilitated new advancements in human-aware agents. This has succeeded in pushing the envelope in agent design, and creating a corpus of useful human-agent interaction data. Our results...
Conference Paper
Full-text available
Humans that negotiate through representatives often instruct those representatives to act in certain ways that align with both the cli-ent's goals and his or her social norms. However, which tactics and ethical norms humans endorse vary widely from person to person, and these endorsements may be easy to manipulate. This work presents the results of...
Conference Paper
Full-text available
Human-agent negotiation is a social task that provides a multifaceted proving ground for artificial intelligence systems that aim to interact with humans in a social context. Designing agents that are capable of negotiating with humans provides threefold benefit. First, it allows information regarding human behavior to be gleaned in an efficient an...
Conference Paper
Full-text available
This work considers the possibility of using virtual agents to encourage disclosure for sensitive information. In particular, this research used “prestige questions”, which asked participants to disclose information relevant to their socioeconomic status, such as credit limit, as well as university attendance, and mortgage or rent payments they cou...
Conference Paper
Full-text available
Virtual agents have been used as tools in negotiation—from acting as mediators to manifesting as full-fledged conversational partners. Virtual agents are a powerful tool for teaching negotiation skills, but require an accurate model of human behavior to perform well both as partners and teachers. The work proposed here aims to expand the current ho...
Conference Paper
Full-text available
Automated negotiation between two agents has been the subject of much research focused on optimization and efficiency. However , human-agent negotiation represents a field in which real-world considerations can be more fully explored. Furthermore, teaching negotiation and other interpersonal skills requires long periods of practice with open-ended...
Article
Full-text available
Emotive virtual agents are seen to be a valuable tool in various research domains, including human studies, training, entertainment, and medicine. However, systems that primarily focus on social-emotional agents are largely domain-focused, or require ample customization to make them usable. The importance of agents that display social emotions and...

Network

Cited By

Projects

Projects (5)
Project
The Automated Negotiating Agent Competition (ANAC) brings together researchers from the negotiation community and provides a unique benchmark for evaluating practical negotiation strategies in multi-issue domains.
Project
The Automated Negotiating Agent Competition (ANAC) brings together researchers from the negotiation community and provides a unique benchmark for evaluating practical negotiation strategies in multi-issue domains.
Project
The Automated Negotiating Agent Competition (ANAC) is an international tournament that has been running since 2010 to bring together researchers from the automated negotiation, multi-agent, and human-agent communities ANAC provides a unique benchmark for evaluating practical negotiation strategies in multi-issue domains.