BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20251016T135125Z
LOCATION:Grand B
DTSTART;TZID=America/Chicago:20251014T121000
DTEND;TZID=America/Chicago:20251014T123000
UID:HFESAM_ASPIRE 2025_sess204_LECT181@linklings.com
SUMMARY:Modeling the Role of AI Bias on Aging Anxiety: A Mediation Analysi
 s
DESCRIPTION:Enilda M. Velazquez, Gabriela Flores-Cruz, and PA Hancock (Uni
 versity of Central Florida)\n\nThe present study investigates how experien
 ced ageism mediates the relationship between perceived ageism from AI algo
 rithms and age anxiety outcomes among an older adult cohort. We present a 
 secondary data analysis from the Older Adult Annotator Demographic and Att
 itudinal Survey (OOADA), that contains responses from a nationally represe
 ntative cohort of U.S. older adults (N = 1483, Age Range = 50 – 90+; 50% F
 emale). Measures consist of participant responses to the previously valida
 ted Aging Anxiety Scale (AAS) and the unvalidated Age Experience Survey (A
 ES). We conducted an exploratory factor analysis followed by a confirmator
 y factor analysis to validate and establish latent variables from both sur
 veys. We tested a structural mediation model to assess whether the AES var
 iable of Experienced Ageism mediated the relationship between the AES vari
 able of attitudes towards algorithmic ageism and the AAS variables of age 
 anxiety: Fear of Losses, Psychological Concern, Physical Appearance (impli
 cit anxieties), and Fear of Old People (explicit anxiety). Experienced age
 ism mediated the relationship between attitudes toward algorithmic ageism 
 and implicit age anxieties (ps <.05) but not for explicit age anxieties (p
  = .72). Future work should explore how perceived ageism in AI influences 
 age anxiety and AI technology adoption among older adults.\n\nTrack: Human
  AI Robot Teaming (AI)\n\nSession Chair: Maya Luster (Purdue University)\n
 \n
END:VEVENT
END:VCALENDAR