activity
20222024
most citedGeneralization and Personalization of Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries

48 citations · 97 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024

LayerShuffle: Enhancing Robustness in Vision Transformers by Randomizing Layer Execution Order

Matthias Freiberger, Peter Kun, Anders Sundnes Løvlie +1

Due to their architecture and how they are trained, artificial neural networks are typically not robust toward pruning or shuffling layers at test time. However, such properties wo…

cs.HC2024★ 21 cited

Algorithmic Ways of Seeing: Using Object Detection to Facilitate Art Exploration

Louie Søs Meyer, Johanne Engel Aaen, Anitamalina Regitse Tranberg +4

This Research through Design paper explores how object detection may be applied to a large digital art museum collection to facilitate new ways of encountering and experiencing art…

cs.HC2024★ 3 cited

Exploring diversity perceptions in a community through a Q&A chatbot

Peter Kun, Amalia De Götzen, Miriam Bidoglia +2

While diversity has become a debated issue in design, very little research exists on positive use-cases for diversity beyond scholarly criticism. The current work addresses this ga…

cs.CV2023

Fooling Contrastive Language-Image Pre-trained Models with CLIPMasterPrints

Matthias Freiberger, Peter Kun, Christian Igel +2

Models leveraging both visual and textual data such as Contrastive Language-Image Pre-training (CLIP), are the backbone of many recent advances in artificial intelligence. In this…

cs.HC2023★ 25 cited

Complex Daily Activities, Country-Level Diversity, and Smartphone Sensing: A Study in Denmark, Italy, Mongolia, Paraguay, and UK

Karim Assi, Lakmal Meegahapola, William Droz +19

Smartphones enable understanding human behavior with activity recognition to support people's daily lives. Prior studies focused on using inertial sensors to detect simple activiti…

cs.HC2022★ 48 cited

Generalization and Personalization of Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries

Lakmal Meegahapola, William Droz, Peter Kun +24

Mood inference with mobile sensing data has been studied in ubicomp literature over the last decade. This inference enables context-aware and personalized user experiences in gener…