Demo Data from VLDB 2026 / reviewers in the wild / expert
Katrin Heimann
dblp:150/0091
· DBLP profile ↗
3ranked-venue papers
2as first author
2since 2021 · last 2025
0000-0001-6524-7408ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Human-computer interaction and pervasive computing
1 paper |
Design research and methods · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Design research and methods
qualitative analysis |
0.9 | 1 | 2025 | Micro-Phenomenology as a Method for Studying User Experience in Human-Computer Interaction · CHI 2025 |
Methods — techniques the papers use, named apart from their topics
qualitative analysis · 0.9micro-phenomenological interviews · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Micro-Phenomenology as a Method for Studying User Experience in Human-Computer InteractionabstractWe examine how micro-phenomenology, a qualitative research method developed to attend to, articulate, and analyse lived experience in fine detail, can be employed to study the experience of using digital systems. Micro-phenomenological interviews unpack the specific experiences of interviewees in fine-grained detail and have previously been acknowledged as a potent tool for Human-Computer Interaction Research. More recently, the method has been extended to comprise a structured analysis method to systematically analyse the temporal unfolding and qualitative dimensions of experiences captured by the interviews. This is the first paper demonstrating the combined use of interviews and analysis via a case in which they were employed to examine the experience of using WeUsedTo, a website for sharing experiences related to the COVID-19 pandemic. On this basis, we discuss the potentials of the method for eliciting and understanding experiential aspects of interactive systems, particularly pertaining to embodiment, temporality, attention, agency, and the systemic nature of experience. Katrin Heimann, Minke Nouwens, Suneetha Saggurthi, Peter Dalsgård |
CHI | 1 |
| 2023 | Reconstructing early human symbolic evolution using transmission experiments
Kristian Tylén, Aske Svane Qvist, Rebecca Foss Kjeldsen, Sergio Gonzalez de La Higuera Rojo, Katrin Heimann, Nicolas Fay, Niels Nørkjær Johannsen, Felix Riede, Marlize Lombard, Riccardo Fusaroli |
CogSci | 5 |
| 2017 | The adaptive evolution of early human symbolic behavior
Katrin Heimann, Riccardo Fusaroli, Sergio Gonzalez de La Higuera Rojo, Niels Nørkjær Johannsen, Felix Riede, Nicolas Fay, Marlize Lombard, Kristian Tylén |
CogSci | 1 |