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User acceptance towards intelligent personal assistants (IPAs): Identifying the motives behind user acceptance towards mobile IPA permissions

Lidvall, Victoria LU and Niklasson, Therese LU (2017) INFM10 20171
Department of Informatics
Abstract
Within the mobile age, it has become critical to protect users’ privacy from privacy-invasive apps that access and collect personal information unnecessary for the apps function and, companies who share and sell user data. The advancements in mobile technology have led to the creation of voice-activated intelligent personal assistants (IPAs) which have been linked to privacy
issues among users due to the extent of personal information that can be accessed. Since mobile IPAs collect information through consented permissions, it is the users themselves who make the decision to accept or deny information access implying that their acceptance behavior may put their privacy at risk for information misuse. The study explores and identifies... (More)
Within the mobile age, it has become critical to protect users’ privacy from privacy-invasive apps that access and collect personal information unnecessary for the apps function and, companies who share and sell user data. The advancements in mobile technology have led to the creation of voice-activated intelligent personal assistants (IPAs) which have been linked to privacy
issues among users due to the extent of personal information that can be accessed. Since mobile IPAs collect information through consented permissions, it is the users themselves who make the decision to accept or deny information access implying that their acceptance behavior may put their privacy at risk for information misuse. The study explores and identifies motives behind users’ acceptance towards permissions for data collection within mobile IPAs through
the adoption the Unified Theory of Acceptance and Use of Technology model (UTAUT) and additional personal concerns identified in the literature review. With eight experienced users of mobile IPAs interviewed, 10 motives behind users’ acceptance towards permissions are identified, and two additional constructs Application trust and Mobile privacy are suggested as being part of the UTAUT model in the context of mobile IPAs as the model does not fully consider these two when it comes to user intention and behavior towards system use. (Less)
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author
Lidvall, Victoria LU and Niklasson, Therese LU
supervisor
organization
course
INFM10 20171
year
type
H1 - Master's Degree (One Year)
subject
keywords
User acceptance, intelligent personal assistants, UTAUT model, motives, awareness, user privacy concerns]
report number
INF17-010
language
English
id
8912842
date added to LUP
2017-06-21 12:54:46
date last changed
2017-06-21 12:54:46
@misc{8912842,
  abstract     = {Within the mobile age, it has become critical to protect users’ privacy from privacy-invasive apps that access and collect personal information unnecessary for the apps function and, companies who share and sell user data. The advancements in mobile technology have led to the creation of voice-activated intelligent personal assistants (IPAs) which have been linked to privacy
issues among users due to the extent of personal information that can be accessed. Since mobile IPAs collect information through consented permissions, it is the users themselves who make the decision to accept or deny information access implying that their acceptance behavior may put their privacy at risk for information misuse. The study explores and identifies motives behind users’ acceptance towards permissions for data collection within mobile IPAs through
the adoption the Unified Theory of Acceptance and Use of Technology model (UTAUT) and additional personal concerns identified in the literature review. With eight experienced users of mobile IPAs interviewed, 10 motives behind users’ acceptance towards permissions are identified, and two additional constructs Application trust and Mobile privacy are suggested as being part of the UTAUT model in the context of mobile IPAs as the model does not fully consider these two when it comes to user intention and behavior towards system use.},
  author       = {Lidvall, Victoria and Niklasson, Therese},
  keyword      = {User acceptance,intelligent personal assistants,UTAUT model,motives,awareness,user privacy concerns]},
  language     = {eng},
  note         = {Student Paper},
  title        = {User acceptance towards intelligent personal assistants (IPAs): Identifying the motives behind user acceptance towards mobile IPA permissions},
  year         = {2017},
}