This section provides a list of publications derived from my research conducted in the domains of Mobile Human-Computer Interaction, GeoHCI, Urban Analytics, and related topics. For a comprehensive citation record refer to my public Google Scholar Profile.
2024
Eve Schade, Gian-Luca Savino, Yasemin Gunal, Johannes Schöning
PLoS One, (2024)
Mobile Map Applications for Foldable Devices
Designing Grocery Shopping Experiences for Virtual Reality
Dark Patterns: Manipulative Designstrategien in Digitalen Gesundheitsanwendungen
Thomas Mildner, Gian-Luca Savino, Johannes Schöning, Rainer Malaka
Bundesgesundheitsblatt, (2024)
2023
Exploring the Effects of Decoupling the Design Space for Mobile Navigation Technologies
Gian-Luca Savino
Dissertation, (2023)
Social Transparency in Network Monitoring and Security Systems
MapUncover: Fostering Spatial Exploration through Gamification in Mobile Map Apps
Defending Against the Dark Arts: Recognising Dark Patterns in Social Media
About Engaging and Governing Strategies: A Thematic Analysis of Dark Patterns in Social Networking Services
Entkopplung des Designspaces für mobile Navigationstechnologien
Gian-Luca Savino
CUI@CHI: Inclusive Design of CUIs Across Modalities and Mobilities, (2023)
2022
2021
2020
MapRecorder: analysing real-world usage of mobile map applications
Point Me In the Right Direction: Understanding User Behaviour with As-The-Crow-Flies Navigation
Virtual Smartphone: High Fidelity Interaction with Proxy Objects in Virtual Reality
Gian-Luca Savino
EPO4VR - 1st Workshop on Everyday Proxy Objects for Virtual Reality at CHI, (2020)
2019
2018
MapRecorder: Analyzing Real World Usage of Mobile Map Applications
Gian-Luca Savino, Miriam Sturdee, Simon Runde, Christine Lohmeier, Brent Hecht and Johannes Schöning
Spatial Cognition 2018: Adjunct Proceedings of the International Conference on Spatial Cognition, Honorable Mention Poster Award, & Abstract presented at IC2S2 2018: Adjunct Proceedings of the International Conference on Computational Social Science, (2018)
A Manageable Model for Experimental Research Data: An Empirical Study in the Materials Sciences