Effect of experience sampling schedules on response rate and recall accuracy of objective self-reports

N van Berkel, J Goncalves, L Lovén, D Ferreira… - International Journal of …, 2019 - Elsevier
Abstract The Experience Sampling Method is widely used to collect human labelled data in
the wild. Using this methodology, study participants repeatedly answer a set of questions …

[HTML][HTML] Fitbit for learning: Towards capturing the learning experience using wearable sensing

MN Giannakos, K Sharma, S Papavlasopoulou… - International Journal of …, 2020 - Elsevier
The assessment of learning during class activities mostly relies on standardized
questionnaires to evaluate the efficacy of the learning design elements. However …

Recommendations for conducting longitudinal experience sampling studies

N van Berkel, V Kostakos - Advances in longitudinal HCI research, 2021 - Springer
Abstract The Experience Sampling Method is used to collect participant self-reports over
extended observation periods. These self-reports offer a rich insight into the individual lives …

Context-informed scheduling and analysis: improving accuracy of mobile self-reports

N van Berkel, J Goncalves, P Koval, S Hosio… - Proceedings of the …, 2019 - dl.acm.org
Mobile self-reports are a popular technique to collect participant labelled data in the wild.
While literature has focused on increasing participant compliance to self-report …

The influence of concurrent mobile notifications on individual responses

LD Turner, SM Allen, RM Whitaker - International Journal of Human …, 2019 - Elsevier
Notifications on mobile devices punctuate our daily lives to provide information and prompt
for further engagement. Investigations into the cognitive processes involved in consuming …

Human accuracy in mobile data collection

N van Berkel, J Goncalves, K Wac, S Hosio… - International Journal of …, 2020 - Elsevier
The collection of participant data 'in the wild'is widely employed by Human-Computer
Interaction researchers. A variety of methods, including experience sampling, mobile …

[HTML][HTML] EchidnaCSI–improving monitoring of a cryptic species at continental scale using citizen science

A Stenhouse, T Perry, F Grützner, M Lewis… - Global Ecology and …, 2021 - Elsevier
Short-beaked echidna (Tachyglossus aculeatus) are a cryptic and iconic monotreme found
throughout the continent of Australia. Despite observational records spanning many years …

[PDF][PDF] Data quality and quantity in mobile experience sampling

N van Berkel - 2019 - researchgate.net
The widespread availability of technologically-advanced mobile devices has brought
researchers the opportunity to observe human life in day-to-day circumstances. Rather than …

Crowdsourcing

M Budde - Springer Handbook of Atmospheric Measurements, 2021 - Springer
Aside from classical meteorological measurements from a wide variety of weather stations,
so-called crowdsourcing approaches have been applied to the collection of meteorological …

MHC'18: International Workshop on Mobile Human Contributions: Opportunities and Challenges

N van Berkel, S Hosio, J Goncalves, K Wac… - Proceedings of the …, 2018 - dl.acm.org
Ubicomp/HCI researchers are increasingly using smartphones to collect human-labelled
data'in the wild'. While this allows for the collection of a wide range of interesting data in …