Paper Info
Title
Comparing Perception of Disclosure of Different Types of Information Related to Automated Tools
Abstract
Transparency has been identified as an important influence on users' perception of algorithm-based automated tools. Research in algorithmic transparency has mostly focused on two types of information: disclosure related to the personal data collected from users and explanation of how algorithms work. However, the development and use of automated tools also involve other types of information that could be the subject of disclosure. In this study, we compare perception of providing information about data provenance and human involvement, in addition to personal data processing and algorithm explanation. We conducted a user experiment and compared the disclosure of these four types of information, for two types of automated apps that process personal information. The results indicate that disclosure of information about data provenance and human involvement is perceived to be as important as personal data processing information. In addition, the relative importance of explanations about the algorithm, compared to other types of information, depended on the type of app. Finally, perception of the usefulness and accessibility of the information did not vary between types of information or app, but participants considered they would be able to understand explanations about the algorithm more than other types of information.
Year
DOI
Venue
2022
10.5220/0010901200003120
PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS SECURITY AND PRIVACY (ICISSP)
Keywords
DocType
Citations 
Algorithmic Transparency, Automated Tools, Personal Data, User Study
Conference
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Vanessa Bracamonte101.69
Takamasa Isohara200.34