Observational research is becoming more and more popular in consumer science and market research. From on-site behavioral observations in supermarkets to advanced multimodal lab studies.
A child development researcher can encounter quite a few challenges when wanting to measure multiple data streams. How do you make that run as smoothly as possible plus integrate all data seamlessly?
The advantages of using multimodal data over a single modality are that it reveals deeper insights and also if one modality fails there can be enough redundancy in the data to still make sense of it.