activity
20182023
most citedDesigning Trustworthy User Interfaces

18 citations · 54 across the 8 of their papers we have counts for

collaborators

8 papers

cs.HC2023

Data Owner Benefit-Driven Design of People Analytics

Patrik Zander, Valentin Zieglmeier

With increasingly digitalized workplaces, the potential for sophisticated analyses of employee data rises. This increases the relevance of people analytics (PA), which are tools fo…

cs.HC2023★ 11 cited

Rethinking People Analytics With Inverse Transparency by Design

Valentin Zieglmeier, Alexander Pretschner

Employees work in increasingly digital environments that enable advanced analytics. Yet, they lack oversight over the systems that process their data. That means that potential ana…

cs.CR2023★ 8 cited

Decentralized Inverse Transparency With Blockchain

Valentin Zieglmeier, Gabriel Loyola Daiqui, Alexander Pretschner

Employee data can be used to facilitate work, but their misusage may pose risks for individuals. Inverse transparency therefore aims to track all usages of personal data, allowing…

cs.HC2022★ 8 cited

Increasing Employees' Willingness to Share: Introducing Appeal Strategies for People Analytics

Valentin Zieglmeier, Maren Gierlich-Joas, Alexander Pretschner

Increasingly digital workplaces enable advanced people analytics (PA) that can improve work, but also implicate privacy risks for employees. These systems often depend on employees…

cs.HC2022★ 18 cited

Designing Trustworthy User Interfaces

Valentin Zieglmeier, Antonia Maria Lehene

Interface design can directly influence trustworthiness of a software. Thereby, it affects users' intention to use a tool. Previous research on user trust has not comprehensively a…

cs.CR2021★ 5 cited

GDPR-Compliant Use of Blockchain for Secure Usage Logs

Valentin Zieglmeier, Gabriel Loyola Daiqui

The unique properties of blockchain enable central requirements of distributed secure logging: Immutability, integrity, and availability. Especially when providing transparency abo…

cs.SE2021

Trustworthy Transparency by Design

Valentin Zieglmeier, Alexander Pretschner

Individuals lack oversight over systems that process their data. This can lead to discrimination and hidden biases that are hard to uncover. Recent data protection legislation trie…

cs.CR2018★ 4 cited

A Real-Time Remote IDS Testbed for Connected Vehicles

Valentin Zieglmeier, Severin Kacianka, Thomas Hutzelmann +1

Connected vehicles are becoming commonplace. A constant connection between vehicles and a central server enables new features and services. This added connectivity raises the likel…