Selected Publications

Through communication technology, users find themselves constantly connected to others to such an extent that they routinely develop a mind-set of connectedness. This mind-set has been defined as online vigilance. Although there is a large body of research on media use and well-being, the question of how online vigilance impacts well-being remains unanswered. In this preregistered study, we combine experience sampling and smartphone logging to address the relation of online vigilance and affective well-being in everyday life. Seventy-five Android users answered eight daily surveys over five days (N = 1,615) whilst having their smartphone use logged. Thinking about smartphone-mediated social interactions (i.e., the salience dimension of online vigilance) was negatively related to affective well-being. However, it was far more important whether those thoughts were positive or negative. No other dimension of online vigilance was robustly related to affective well-being. Taken together, our results suggest that online vigilance does not pose a serious threat to affective well-being in everyday life.
Media Psychology, 2020

In the last 10 years, many canonical findings in the social sciences appear unreliable. This so-called “replication crisis” has spurred calls for open science practices, which aim to increase the reproducibility, replicability, and generalizability of findings. Communication research is subject to many of the same challenges that have caused low replicability in other fields. As a result, we propose an agenda for adopting open science practices in Communication, which includes the following seven suggestions: (1) publish materials, data, and code; (2) preregister studies and submit registered reports; (3) conduct replications; (4) collaborate; (5) foster open science skills; (6) implement Transparency and Openness Promotion Guidelines; and (7) incentivize open science practices. Although in our agenda we focus mostly on quantitative research, we also reflect on open science practices relevant to qualitative research. We conclude by discussing potential objections and concerns associated with open science practices.
Journal of Communication, 2020

Smartphones have been shown to distract people from their main tasks (e.g., studying, working), but the psychological mechanisms underlying these distractions are not clear yet. In a preregistered experiment, we tested whether the distracting nature of smartphones stems from their high associated (social) reward value. Participants (N = 117) performed a visual search task while they were distracted by (a) high social reward apps (e.g., Facebook app icon + notification sign), (b) low social reward apps (e.g., Facebook app icon), and © no social reward apps (e.g., Weather app icon). We expected that high social reward app icons would slow down search, especially when people were deprived of their smartphones. Surprisingly, high social reward (vs. low or no social reward) apps did not impair visual search performance, yet in a survey (N = 158) participants indicated to perceive these icons as more rewarding. Our results demonstrate that even if people perceive social smartphone apps as more rewarding than nonsocial apps, this may not manifest in behavior.
Collabra: Psychology, 2019

Recent Posts

What this post is about There’s quite the fuzz about ‘objective’ measures of technology use. When we study the effects of tech use on well-being, we often just ask people to report how much they used tech. Turns out, people aren’t really good at estimating their tech use. When we compare their subjective estimates to logged tech use (hence ‘objective’), the correlation between the two is rather low as this meta-analysis reports.


What this post is about Creating data Creating a violin plot (with wrong errors bars) Creating another plot (with error bars that’re still wrong) The last plot (this time correct) What this post is about Personally, I find violin plots with error bars a great way to present repeated-measures data from experiments, as they show the data distribution as well as the uncertainty surrounding the mean. However, there is some confusion (at least for me) about how to correctly calculate error bars for within-subjects designs.


What this post is about Reference Manager Note-taking Keep track of the literature Follow blogs Join Twitter Give podcasts a try Familiarize yourself with preregistration and open science Learn R Freshen up your stats Closing remarks What this post is about The new academic semester is almost upon us, and that means lots of new grad students. As I’m entering the fourth and final year of my own PhD, this got me thinking: What tools would I have liked to know about when I started?


Thanks for popping by my website. I just created it, so expect to see the first post soon.



2018 / 2019

  • Research Project 3: Thesis, Bachelor Psychology (Supervisor)

2017 / 2018

  • Introduction to Psychology: Part B, Bachelor Psychology (Workgroup Instructor)
  • Research Project 3: Experiments, Bachelor Communication Science (Lecturer)
  • Research Project 3: Thesis, Bachelor Psychology (Supervisor)
  • Minor Research Master Project, Research Master Behavioral Science (Supervisor)
  • Research Topics in Communication Science, Bachelor Communication Science (Lecturer)