Description
For the past years, a number of researches have shown that most users do not have a habit of reading privacy policies. This fact may occur due to the time spent on reading these policies technical or even users’ lack of interest. On a previous work, in order to facilitate the presentation of privacy policies from online services, a prototype called PPMark was developed in order to read policy texts and show what kind of data was being collected and to what end are were presented in a privacy label format. The goal of this work is to assess the users’ confidence on the information extracted by this prototype. Given the results, the prototype proved that it is easy to use, it can decrease the time spent on reading policies and that users trust the information extracted, thus facilitating the computer human interaction (user x privacy policies).
Recommended Citation
Pontes, Diego Roberto Gonçalves; Zorzo, Sergio Donizetti; and Mello, Jose Santiago Moreira, "Evaluation of the reliability of using the prototype PPMark - a tool to support the computer human interaction in readings the privacy policies - using the GQM and TAM models." (2017). AMCIS 2017 Proceedings. 22.
https://aisel.aisnet.org/amcis2017/InformationSystems/Presentations/22
Evaluation of the reliability of using the prototype PPMark - a tool to support the computer human interaction in readings the privacy policies - using the GQM and TAM models.
For the past years, a number of researches have shown that most users do not have a habit of reading privacy policies. This fact may occur due to the time spent on reading these policies technical or even users’ lack of interest. On a previous work, in order to facilitate the presentation of privacy policies from online services, a prototype called PPMark was developed in order to read policy texts and show what kind of data was being collected and to what end are were presented in a privacy label format. The goal of this work is to assess the users’ confidence on the information extracted by this prototype. Given the results, the prototype proved that it is easy to use, it can decrease the time spent on reading policies and that users trust the information extracted, thus facilitating the computer human interaction (user x privacy policies).