Understanding End-user Attitudes towards Location Sharing Services

So-called “geosocial” applications allow one to share one's current location with friends, families, or even the public. In order to better understand why people are (or are not) using such applications in their daily life, we drew up a technology acceptance model (TAM) – a model that helps predicts what factors influence a person’s use or non-use of such services. The initial model was based both on prior work in location sharing, as well as on actual service use by 36 participants of a 4-week study we conducted. In a subsequent step, we now plan to verify this model in a much broader survey study.

We are thus seeking a highly motivated student to join us in planning, conducting, and analyzing an international survey study. A good understanding of location sharing technology, as well as basic statistics is required. You will learn how to design and administer survey research using crowdworking services such as Amazon Mechanical Turk or Prolific, as well as understanding the results with the help of analysis software such as SPSS and AtlasTI. Ultimately, the student will join our international research team to analyze and write up the results for submission to a high-profile journal.