TY - JOUR
T1 - Positive bias in the ‘Trust in Automated Systems Survey’? An examination of the Jian et al. (2000) scale
AU - Gutzwiller, Robert S.
AU - Chiou, Erin K.
AU - Craig, Scotty D.
AU - Lewis, Christina M.
AU - Lematta, Glenn J.
AU - Hsiung, Chi Ping
N1 - Publisher Copyright:
© 2019 by Human Factors and Ergonomics Society.
PY - 2019
Y1 - 2019
N2 - Measuring trust in technology is a mainstay in Human Factors research. While trust may not perfectly predict reliance on technology or compliance with alarm signals, it is routinely used as a design consideration and assessment goalpost. Several methods of measuring trust have been employed in the past decades, but one self-report measure stands out due to its popular use, the Trust in Automated Systems Survey (Jian, Bisantz, & Drury, 2000). We conducted a study to assess whether the survey could create biased responses, and found evidence the original scale is in fact skewed toward positive ratings. Assessing the literature revealed the survey has been used in unaltered form across at least 100 different reports and remains frequently administered - therefore, the potential impact of this bias may be widespread. Future directions, considerations, and caveats for our assessment, and for using this scale, are discussed.
AB - Measuring trust in technology is a mainstay in Human Factors research. While trust may not perfectly predict reliance on technology or compliance with alarm signals, it is routinely used as a design consideration and assessment goalpost. Several methods of measuring trust have been employed in the past decades, but one self-report measure stands out due to its popular use, the Trust in Automated Systems Survey (Jian, Bisantz, & Drury, 2000). We conducted a study to assess whether the survey could create biased responses, and found evidence the original scale is in fact skewed toward positive ratings. Assessing the literature revealed the survey has been used in unaltered form across at least 100 different reports and remains frequently administered - therefore, the potential impact of this bias may be widespread. Future directions, considerations, and caveats for our assessment, and for using this scale, are discussed.
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U2 - 10.1177/1071181319631201
DO - 10.1177/1071181319631201
M3 - Conference article
AN - SCOPUS:85183921760
SN - 1071-1813
VL - 63
SP - 217
EP - 221
JO - Proceedings of the Human Factors and Ergonomics Society
JF - Proceedings of the Human Factors and Ergonomics Society
IS - 1
T2 - 63rd International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2019
Y2 - 28 October 2019 through 1 November 2019
ER -