Primary User Datasets of the SATA-LRS, a modular steerable hand-held laparoscopic surgical instrument

This experiment involved the first user-interaction with the novel SATA-LRS instrument. For this, two experiments have been conducted with a total of 10 subjects.
The first experiment required the subject to dis- and re-assemle the instrument a total of 7 times. 
The second exeriment required the use of the instrument in a test set-up involving a simulating environment with an active element controlled by an arduino that both gave commands to the user as well as collected data.
Users were expected to make contact with an electric element using the instrument. The commands as to which element were given by the Arduino system.

This dataset contains the gathered observations of the two experiments for subjects 5 to 14, archived in foders S5 to S14.
Each folder contains three files: the Arduino output used in the test set-up in Task_2, the data collected from Task_1, and the observations made in Task_2.

The data in Task_1 follows the repetitions each subject had to make from R1 to R7. The first column indicates the number of instructions the subject required. The second column indicates the total time the repetition required.
The observations in Task_2 contain both notes to the data collection for later modification of the raw-data, as well as personal notes on the interaction of the subject with the task and instrument used.
These observations follow a code including C# for the connection count and P# for the particular port the user had to interact with.

The same convention is used in the arduino output which cycles through a script of countdown, port indication command, and a data collection summary which shows: the indicated port, the read port, the total time between indication and reading of a port in ms, the connection count.
This last collection summary is the data collected by the arduino and is considered the raw-data of Task_2.

The main folder contains the Task_1_Data.xlsx, which is a collection of the data of Task_1 from each subject folder. Sheet2 also contains the gender and age of each particiant.
Matlab files Task-1_DataWorker and Task-2_DataWorker each contain the matlab script used to summarize and visualize the raw-data, as well as to find an array of results for each test.

