Methods
Last updated
Last updated
First, we designed the experiment script, which begins with an introduction to the purpose of the study, followed by a series of questions for the participants. We emphasized the importance of protecting user information, ensuring that the experiment was conducted only after obtaining informed consent.
During the experiment, participants completed the questionnaire three times. The first questionnaire, administered before the experiment, collected basic demographic and background information. The second, given at the end of the experiment, allowed participants to express their impressions of the game through a multiple-choice format. Finally, the third questionnaire provided an opportunity for participants to articulate their detailed thoughts and experiences in written form.
Next, to facilitate data collection and analysis, we created a flowchart of the Ingress game, mapping out the possible interfaces resulting from each step of interaction. We then categorized these interfaces into three main groups: the landing page, the main menu, and other miscellaneous screens. This classification provided a structured approach to understanding user interactions within the game.
We use an online annotation tool to annotate and keep track of user's touch.
When conducting the experiment, we require users to complete two sets of tasks.Before, during, and after completing the two sets of tasks, we conduct surveys with the participants to collect qualitative feedback.
The participants will complete the basic tutorial of the game, learning its fundamental concepts and operations.
The participants will complete as many tasks as possible within the given assignments, including both simple and complex tasks.
We collect data by gathering information about the user's click events on the mobile phone screen and storing it as a csv file.
We records and replays touchscreen events on Android devices using ADB(Android Debugging Bridge). It captures touch input data with getevent and replays it using sendevent or mysendevent. The tool is useful for automation testing, UI interaction analysis, and touch data collection. Additionally, a Python script converts event logs into a CSV format for easier analysis.
