TY - JOUR
T1 - I want to talk to a real person
T2 - theorising avoidance in the acceptance and use of automated technologies
AU - Christy, Katheryn R.
AU - Jensen, Jakob D.
AU - Britt, Brian
AU - Scherr, Courtney L.
AU - Jones, Christina
AU - Brown, Natasha R.
N1 - Funding Information:
This research was supported, in part, by an R25 grant from the National Cancer Institute [grant number R25 CA 090314].
Funding Information:
This research was supported, in part, by an R25 grant from the National Cancer Institute [grant number R25 CA 090314]. Katheryn R. Christy is a post-doctoral research associate in the Department of Communication at the University of Utah. Jakob D. Jensen (PhD, University of Illinois, 2007) is an associate professor in the Department of Communication and the Department of Health Promotion and Education at the University of Utah. Brian Britt is an assistant professor in the Department of Communication at South Dakota State University. Courtney L. Scherr is an assistant professor in the School of Communication at Northwestern University. Christina Jones is an assistant professor in the Department of Communication at the Ball State University. Natasha R. Brown is an assistant professor in the Department of Communication at Indiana University?Northwest. None of the authors have any financial interest or benefit arising from the direction application of this research.
Publisher Copyright:
© 2017, © Operational Research Society 2017.
PY - 2019/1/2
Y1 - 2019/1/2
N2 - Automated communication systems are increasingly common in mobile and ehealth contexts. Yet, there is a reason to believe that some high-risk segments of the population might be prone to avoid automated systems even though they are often designed to reach these groups. To facilitate research in this area, avoidance of automated communication (AAC) is theorised–and a measurement instrument validated–across two studies. In study 1, an AAC scale was found to be unidimensional and internally reliable as well as negatively correlated with comfort, perceptions, and intentions to use technology. Moreover, individuals with social phobia had lower AAC scores which was consistent with the idea that they preferred non-human interaction facilitated by automated communication. In study 2, confirmatory factor analysis supported the unidimensional structure of the measure and the instrument once again proved to be reliable. Individuals with lower AAC had greater intentions to utilise automated communication, EHRs, and an automated virtual nurse programme. AAC is a disposition that predicts significant variance in intentions and comfort with various automated communication technologies. Avoidance increases with age but may be mitigated by systems that allow participants to opt-out or immediately interact with a live person.
AB - Automated communication systems are increasingly common in mobile and ehealth contexts. Yet, there is a reason to believe that some high-risk segments of the population might be prone to avoid automated systems even though they are often designed to reach these groups. To facilitate research in this area, avoidance of automated communication (AAC) is theorised–and a measurement instrument validated–across two studies. In study 1, an AAC scale was found to be unidimensional and internally reliable as well as negatively correlated with comfort, perceptions, and intentions to use technology. Moreover, individuals with social phobia had lower AAC scores which was consistent with the idea that they preferred non-human interaction facilitated by automated communication. In study 2, confirmatory factor analysis supported the unidimensional structure of the measure and the instrument once again proved to be reliable. Individuals with lower AAC had greater intentions to utilise automated communication, EHRs, and an automated virtual nurse programme. AAC is a disposition that predicts significant variance in intentions and comfort with various automated communication technologies. Avoidance increases with age but may be mitigated by systems that allow participants to opt-out or immediately interact with a live person.
KW - Avoidance
KW - automated communication
KW - electronic health record
KW - humancomputer interaction
KW - virtual nurse
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U2 - 10.1080/20476965.2017.1406568
DO - 10.1080/20476965.2017.1406568
M3 - Article
C2 - 31178990
AN - SCOPUS:85055526214
VL - 8
SP - 31
EP - 43
JO - Health Systems
JF - Health Systems
SN - 2047-6965
IS - 1
ER -