TY - GEN
T1 - Using accelerometer and gyroscope data in common mobile devices to assess credibility
AU - Valacich, Joseph S.
AU - Byrd, Michael D.
AU - Kumar, Manasvi
AU - Jenkins, Jeffrey L.
AU - Kim, David
AU - Williams, Parker A.
N1 - Publisher Copyright:
© 2020 26th Americas Conference on Information Systems, AMCIS 2020. All rights reserved.
PY - 2020
Y1 - 2020
N2 - An observational study examined the efficacy of using accelerometer and gyroscope (i.e., orientation) data from standard mobile devices to assess response credibility. Study participants played twenty rounds of a card game where they self-reported whether they won or lost each round. Participants received a base payment but could gain increased “bonus” payments by cheating. After the card game, participants were asked a “Yes-No” question whether they cheated while their orientation data was captured. We predicted that people concealing information about an adverse behavior (i.e., cheating), would result in differences in both absolute magnitude changes in acceleration and in rotation, as compared to truthful people. We developed six measures to capture absolute magnitude changes using orientation data. Supporting our hypotheses, cheaters had greater values of acceleration/rotation rates than non-cheaters. The implications of these results for future research and practice, as well as the limitations of this study, are discussed.
AB - An observational study examined the efficacy of using accelerometer and gyroscope (i.e., orientation) data from standard mobile devices to assess response credibility. Study participants played twenty rounds of a card game where they self-reported whether they won or lost each round. Participants received a base payment but could gain increased “bonus” payments by cheating. After the card game, participants were asked a “Yes-No” question whether they cheated while their orientation data was captured. We predicted that people concealing information about an adverse behavior (i.e., cheating), would result in differences in both absolute magnitude changes in acceleration and in rotation, as compared to truthful people. We developed six measures to capture absolute magnitude changes using orientation data. Supporting our hypotheses, cheaters had greater values of acceleration/rotation rates than non-cheaters. The implications of these results for future research and practice, as well as the limitations of this study, are discussed.
KW - Accelerometer
KW - Amazon's Mechanical Turk
KW - Behavioral Analytics
KW - Credibility Assessment
KW - Gyroscope
KW - Human-Computer Interaction
KW - Mobile Phone
UR - http://www.scopus.com/inward/record.url?scp=85097721774&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85097721774&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85097721774
T3 - 26th Americas Conference on Information Systems, AMCIS 2020
BT - 26th Americas Conference on Information Systems, AMCIS 2020
PB - Association for Information Systems
T2 - 26th Americas Conference on Information Systems, AMCIS 2020
Y2 - 10 August 2020 through 14 August 2020
ER -