Gruber, Dara2018-08-142018-08-142018-04https://hdl.handle.net/11299/199076University of Minnesota Ph.D. dissertation. April 2018. Major: Human Factors/Ergonomics. Advisors: Barry Kudrowitz, Thomas Stoffregen. 1 computer file (PDF); vi, 104 pages.The majority of us use personal assistant technology every day. From calendar alerts to fitness goal reminders, we have come to depend on this automation to provide us with information about our lives and help us to make “better” decisions. Research has been published on how to best represent recommender information to users, but not much has been done in the way of studying decision aids for low risk daily use. This research aims to explore how users of this technology trust computer-generated suggestions and how best to display those suggestions to optimize trust and favorable performance outcomes for continued use.enAnthropomorphismDecision ScienceHuman FactorsThesis or Dissertation