Research in human-robot interaction is mostly performed using behavioural experiments, similarly with human-computer interaction experiments. Therefore, we will collect data using true experiments, which, according to Lazar, Feng, and Hochheiser (Lazar, 2017), possess the following characteristics:

• A true experiment is based on at least one testable research hypothesis and aims to validate it.
• There are usually at least two conditions (a treatment condition and a control condition) or groups (a treatment group and a control group).
• The dependent variables are normally measured through quantitative
• measurements.
• The results are analysed through various statistical significance tests.
• A true experiment should be designed and conducted with the goal of removing potential biases.
• A true experiment should be replicable with different participant samples, at different times, in different locations, and by different experimenters.

After collecting data, we use statistical analysis to present our data and evaluate the research hypotheses.

References

Lazar, J. , Feng, J. H., Hochheiser, H.  (2017), Research methods in human-computer interaction: Morgan Kaufmann, 2017.