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Wasja Brunotte

Publications and source records attributed to Wasja Brunotte.

2 recordsLinked to original sources

Privacy Explanations - A Means to End-User Trust

Software systems are ubiquitous, and their use is ingrained in our everyday lives. They enable us to get in touch with people quickly and easily, support us in gathering information, and help us perform our daily tasks. In return, we provide these systems with a large amount of personal information, often unaware that this is jeopardizing our privacy. End users are typically unaware of what data is collected, for what purpose, who has access to it, and where and how it is stored. To address this issue, we looked into how explainability might help to tackle this problem. We created privacy explanations that aim to help to clarify to end users why and for what purposes specific data is required. We asked end users about privacy explanations in a survey and found that the majority of respondents (91.6 \%) are generally interested in receiving privacy explanations. Our findings reveal that privacy explanations can be an important step towards increasing trust in software systems and can increase the privacy awareness of end users. These findings are a significant step in developing privacy-aware systems and incorporating usable privacy features into them, assisting users in protecting their privacy.

cs.SE

Exploring Explainability: A Definition, a Model, and a Knowledge Catalogue

The growing complexity of software systems and the influence of software-supported decisions in our society awoke the need for software that is transparent, accountable, and trustworthy. Explainability has been identified as a means to achieve these qualities. It is recognized as an emerging non-functional requirement (NFR) that has a significant impact on system quality. However, in order to incorporate this NFR into systems, we need to understand what explainability means from a software engineering perspective and how it impacts other quality aspects in a system. This allows for an early analysis of the benefits and possible design issues that arise from interrelationships between different quality aspects. Nevertheless, explainability is currently under-researched in the domain of requirements engineering and there is a lack of conceptual models and knowledge catalogues that support the requirements engineering process and system design. In this work, we bridge this gap by proposing a definition, a model, and a catalogue for explainability. They illustrate how explainability interacts with other quality aspects and how it may impact various quality dimensions of a system. To this end, we conducted an interdisciplinary Systematic Literature Review and validated our findings with experts in workshops.

cs.SE