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BEGIN:VEVENT
DTSTAMP:20241014T203102Z
LOCATION:McArthur Ballroom
DTSTART;TZID=America/Phoenix:20240911T173000
DTEND;TZID=America/Phoenix:20240911T183000
UID:HFESAM_ASPIRE - Presented by HFES_sess107_POS162@linklings.com
SUMMARY:104. Explaining How to Interpret a Usability Survey May Enhance Re
 liability Without Negatively Influencing Responses
DESCRIPTION:Poster\n\nIan Robertson, Xiaoxuan “Alicia” Cheng, and Philip K
 ortum (Rice University)\n\nOne of the greatest challenges of using questio
 nnaires is ensuring that respondents understand them. One possible strateg
 y is to explain the meaning of items to respondents but there is a risk in
  biasing respondents’ answers. In this study, we assessed how explaining t
 he meaning of items to respondents might affect their responses and the va
 lidity/reliability of the System Usability Scale (SUS). We employed straig
 htforward, general explanations that we felt matched the intended meaning 
 of the items. We found a statically significant difference between the Exp
 lanations and No Explanations group, but we judged this difference to not 
 be practically significant. We also found the validity and reliability of 
 the questionnaires from both groups to be acceptable. Finally, the reliabi
 lity of the SUS questionnaires given to the Explanations group was systema
 tically higher than the No Explanations group, suggesting that correctly e
 xplaining the meaning of items may increase the internal reliability of qu
 estionnaires.\n\nTrack: Aerospace Systems, Cognitive Engineering & Decisio
 n Making, Computer Systems, Forensics Professional, Health Care, Human Per
 formance Modeling, Individual Differences in Performance, Perception and P
 erformance, Product Design, Safety, Training, Usability and System Evaluat
 ion, Extended Reality
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