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Emmanuel Johnson

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3

AAAI Conference 2019 Short Paper

Using Automated Agents to Teach Negotiation

  • Emmanuel Johnson

Negotiation is an integral part of our daily lives regardless of occupation. Although ubiquitous to our experience, we are never taught to negotiate. This lack of training presents many consequences from unfair salary negotiation to geopolitical ramification. The ability to resolve conflicts and negotiate is becoming more critical due to the rise of automated systems which look to replace various repetitive task jobs. In hopes of improving human negotiation skills, my work seeks to develop automated negotiation agents capable of providing personalized feedback. In this paper, I provide an overview of my past , current, and future work.

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AAMAS Conference 2017 Conference Paper

Towards An Autonomous Agent that Provides Automated Feedback on Students' Negotiation Skills

  • Emmanuel Johnson
  • Jonathan Gratch
  • David DeVault

Although negotiation is an integral part of daily life, most people are unskilled negotiators. To improve one’s skill set, a range of costly options including self-study guides, courses, and training programs are offered by various companies and educational institutions. For those who can’t afford costly training options, virtual role playing agents offer a low-cost alternative. To be effective, these systems must allow students to engage in experiential learning exercises and provide personalized feedback on the learner’s performance. In this paper, we show how a number of negotiation principles can be formalized and quantified. We then establish the pedagogical relevance of several automatic metrics, and show that these metrics are significantly correlated with negotiation outcomes in a human-agent negotiation. This illustrates the realism and helps to validate these principles. It also shows the potential of technology being used to quantify feedback that is traditionally provided through more qualitative approaches. The metrics we describe can provide students with personalized feedback on the errors they make in a negotiation exercise and thereby support guided experiential learning. CCS Concepts •Human-centered computing → Human computer interaction (HCI); •Computing methodologies → Artificial intelligence;

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