Mobile Ethnography offers less control
Unlike traditional ethnography, where researchers have more control over the research environment, mobile ethnography relies on participants' natural settings. This lack of control can make it difficult to standardize data collection conditions.
While mobile ethnography captures real-world behaviors, it may not always provide a complete context for those behaviors. Researchers may miss important contextual factors that affect participants' actions and decisions.
Despite the ability to conduct follow-up interviews, researchers may still miss opportunities for in-depth probing and clarification compared to more traditional ethnographic methods where they are physically present in the research setting. The researcher has to rely on the participant’s ability to present the insights needed, and reminders are often needed to ensure they report to given tasks.
Small sample sizes
Mobile ethnography typically involves a small sample size, and the findings may not be representative of a broader population. Researchers must be cautious when making generalizations based on limited participant data. However, compared to traditional ethnographic studies, mobile ethnography has the advantage of being much more cost and time efficient, something that often allows for increased sample sizes.
Smaller sample sizes also comes with the risk that those participate may not be fully representative of the target group, leading to potentially skewed findings.
Privacy and Ethical Concerns: Collecting data from participants' mobile devices raises privacy and ethical considerations. Researchers must ensure that they obtain informed consent, protect participants' personal information, and handle sensitive data responsibly.
Participant Burden: Depending on the study's duration and complexity, mobile ethnography can become burdensome for participants, leading to dropouts or incomplete data. Researchers must carefully consider the demands placed on participants.
Data Overload: Collecting a wide range of data types, such as photos, videos, text, and voice recordings, can lead to data overload. Managing, organizing, and analyzing this diverse data can be time-consuming and complex.
Interpretation Challenges: Analyzing qualitative data from mobile ethnography can be subjective and challenging. Researchers must develop robust analytical methods to extract meaningful insights from the collected data.
In conclusion, while mobile ethnography offers valuable insights in to participants' natural behaviors and experiences, it is essential for researchers to be aware of its limitations and challenges. Careful planning, ethical considerations, and methodological rigor are necessary to mitigate these cons and ensure the validity and usefulness of the research findings.
