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BEGIN:VEVENT
DTSTAMP:20261012T210907Z
LOCATION:Summit Pavilion
DTSTART;TZID=America/Los_Angeles:20261021T173000
DTEND;TZID=America/Los_Angeles:20261021T183000
UID:HFESAM_ASPIRE 2026_sess257_POST246@linklings.com
SUMMARY:Anthropomorphism and Artificial Intelligence: Common Themes and Co
 ntradictions
DESCRIPTION:Caroline Deck, Aarohi Srivastava, and Ulker Yusupova (Embry-Ri
 ddle Aeronautical University) and Briana Sobel (Embry Riddle Aeronautical 
 University)\n\nArtificial intelligence (AI) is a rapidly advancing technol
 ogy often described as mimicking human cognition. Despite its benefits, AI
  raises concerns, including persistent bias, increasing incidents, and wid
 espread public skepticism about its overall impact. As AI becomes more int
 egrated into daily life, understanding human-AI interaction is critical, p
 articularly whether perceiving AI as humanlike helps or hinders these inte
 ractions. Anthropomorphism refers to attributing human characteristics, in
 tentions, or emotions to nonhuman entities.  Some researchers argue that a
 nthropomorphizing AI fosters empathy, trust, and usability, improving inte
 ractions. Others contend it is misleading, causing users to overestimate A
 I’s capabilities and misunderstand its limitations. This study conducts a 
 semi-structured literature review of 95 articles from major academic datab
 ases, categorizing them as viewing anthropomorphism as beneficial or detri
 mental. Preliminary findings show mixed results: anthropomorphism may incr
 ease trust and likability in some contexts but has inconsistent effects on
  performance and attitudes. Overall, the research highlights conflicting e
 vidence and emphasizes the need for a clearer theoretical framework. Under
 standing anthropomorphism’s role is essential for designing effective and 
 responsible AI systems as their societal influence grows.\n\n
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