@techreport{TR-IC-25-04,
   number = {IC-25-04},
   author  =  {Geovanna  Evelyn  Espinoza  Taype, Maria Cecília Calani
                   Baranauskas and Julio Cesar dos Reis},
   title  =  {{The  State  of the Art connecting Socioenactive systems
                   with  Artificial  Intelligence  and  the  Emotional 
                   Contagion Phenomenon}},
   month = {August},
   year = {2025},
   institution = {Institute of Computing, University of Campinas},
   note = {In English, 23 pages.
    \par\selectlanguage{english}\textbf{Abstract}
       The  Socioenactive  approach  is a new field of study exploring
       novel dimensions of the design and development of computational
       systems.  Socioenactive  systems are computational systems that
       consider the human brain, body, and the environment surrounding
       it  in the design of interactions. This promising research area
       brings  new  perspectives  to  the  Human-Computer  Interaction 
       field, studying phenomena that occur in humans' brains, bodies,
       and  their  environments,  considering  cognition, sensorimotor
       processes,   perception,   and   emotions.  In  socio-emotional 
       interactions,  the emotion contagion phenomenon emerges through
       bodily  expressions,  in particular, through neurophysiological
       expressions.  Artificial  Intelligence  (AI)  is  being used to
       analyze emotions from human neurophysiological data. This study
       conducts  a  literature  review concerning socienactive systems
       associated  with  AI  and  the  Emotional Contagion Phenomenon.
       Considering   the   PRISMA   (Preferred   Reporting  Items  for 
       Systematic  Reviews  and Meta-Analyses) protocol, we guided our
       search  for  relevant  studies. We identified studies from four
       different  search  libraries.  We conducted a screening process
       based  on  the  titles  and  abstracts of these investigations.
       After applying the exclusion criteria, we filtered and selected
       several  studies.  We  analyzed  the  selected studies based on
       their  main  keywords  and  related concepts. We analyzed these
       studies considering their relevance for future studies.
  }
}