title: Affective processes in human-automation interactions.
abstract: OBJECTIVE
  This study contributes to the literature on automation reliance by illuminating the influences of user moods and emotions on reliance on automated systems.
  
  
  BACKGROUND
  Past work has focused predominantly on cognitive and attitudinal variables, such as perceived machine reliability and trust. However, recent work on human decision making suggests that affective variables (i.e., moods and emotions) are also important. Drawing from the affect infusion model, significant effects of affect are hypothesized. Furthermore, a new affectively laden attitude termed liking is introduced.
  
  
  METHODS
  Participants watched video clips selected to induce positive or negative moods, then interacted with a fictitious automated system on an X-ray screening task At five time points, important variables were assessed including trust, liking, perceived machine accuracy, user self-perceived accuracy, and reliance.These variables, along with propensity to trust machines and state affect, were integrated in a structural equation model.
  
  
  RESULTS
  Happiness significantly increased trust and liking for the system throughout the task. Liking was the only variable that significantly predicted reliance early in the task. Trust predicted reliance later in the task, whereas perceived machine accuracy and user self-perceived accuracy had no significant direct effects on reliance at any time.
  
  
  CONCLUSIONS
  Affective influences on automation reliance are demonstrated, suggesting that this decision-making process may be less rational and more emotional than previously acknowledged.
  
  
  CONCLUSIONS
  Liking for a new system may be key to appropriate reliance, particularly early in the task. Positive affect can be easily induced and may be a lever for increasing liking.
authors: University of Missouri-St. Louis, USA. merritts@umsl.edu
authors: Stephanie M
authors: SM
authors: Merritt
mesh_terms: D000339:Affect; D003657:Decision Making; D006801:Humans; D008328:Man-Machine Systems; D011930:Reaction Time; D035502:Trust / Q000523:psychology*