Human Interaction with Artificial Intelligence

How smart should your AI be? How should you interact with it?  Do you need to understand how it makes decisions?  When does AI augment human work and when does it make human work more challenging.  These are the questions we are asking.  

We are looking at AI from intelligent data fusion systems, artificial intelligent home agents (Alexa, Google Home, personal assistants and chatbots), automated vehicles, algorithmic trading in finance and in artificially intelligent decision aids.

  1. Dikmen*, M., Burns, C.M. (2017). Trust in autonomous vehicles: The case of Tesla Autopilot and Summon. 2017 IEEE International Conference on Systems, Man and Cybernetics. 1093-1098. 10.1109/SMC.2017.8122757
  2. Li*, Y., Wang, X., and Burns, C.M. (2017). Ecological Interface Design for financial trading: Trading performance and risk preference effects. 2017 IEEE International Conference on Systems, Man and Cybernetics. 600-605. 10.1109/SMC.2017.8122672
  3. Dikmen*, M., and Burns, C.M. (2016). Autonomous driving in the real world: Experiences with Tesla Autopilot and Summon.  8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 225-228.
  4. Li*, Y., Hu, R., Burns, C.M. (2016). Representing stages and levels of automation on the decision ladder: The case of automated financial trading. Proceedings the 2016 Annual meeting of the Human Factors and Ergonomics Society. 328-333.
  5. Chin*, J., Li*, Y., Burns, C. (2018). User perspectives of conversational agents across lifespan: Being assistive, but not too smart. Poster presented at the Cognitive Aging Conference 2018, Atlanta, GA.