output
20132026
most citedThe STRANDS Project: Long-Term Autonomy in Everyday Environments

197 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.CYShow all

6 papers · 1 filter

cs.CY2026

Digital Twins for Small Towns and Rural Regions: Data Integration, Simulation and Visualisation Across Three Use Cases in Lower Austria

Thomas Delissen, Lukas Daniel Klausner, Maximilian Lackner +2

Smart city and digital twin concepts hold considerable potential for improving local governance and planning, yet practical implementations have almost exclusively focused on large…

cs.CY2025★ 1 cited

Small Towns, Big Questions: Methodological Insights into Use Case Selection for Digital Twins in Small Towns

Lucy Temple, Gabriela Viale Pereira, Laura Kaltenbrunner +1

Selecting appropriate use cases for implementing digital solutions in small towns is a recurring challenge for smart city projects. This paper presents a transdisciplinary methodol…

cs.CY2024★ 8 cited

Unravelling the Use of Digital Twins to Assist Decision- and Policy-Making in Smart Cities

Lucy Temple, Gabriela Viale Pereira, Lukas Daniel Klausner

This short paper represents a systematic literature review that sets the basis for the future development of a framework for digital twin-based decision support in the public secto…

cs.CY2023★ 3 cited

Smart Cities and Digital Twins in Lower Austria

Gabriela Viale Pereira, Lukas Daniel Klausner, Lucy Temple +3

Smart city solutions require innovative governance approaches together with the smart use of technology, such as digital twins, by city managers and policymakers to manage the big…

cs.CY2018★ 52 cited

Context Data Categories and Privacy Model for Mobile Data Collection Apps

Felix Beierle, Vinh Thuy Tran, Mathias Allemand +5

Context-aware applications stemming from diverse fields like mobile health, recommender systems, and mobile commerce potentially benefit from knowing aspects of the user's personal…

cs.CY2018★ 16 cited

TYDR - Track Your Daily Routine. Android App for Tracking Smartphone Sensor and Usage Data

Felix Beierle, Vinh Thuy Tran, Mathias Allemand +5

We present the Android app TYDR (Track Your Daily Routine) which tracks smartphone sensor and usage data and utilizes standardized psychometric personality questionnaires. With the…