Page History

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Evaluation:

We found our users by primarily contacting our relatives and friends. However, we did not know many very-savvy users of location-sharing services. Thus, we asked our TA (Katrina) for advice. She suggested a few potential users (this practice is called Snowball Sampling), out of which we contacted one but did not hear back from that person. We informally contacted another person but that person declined from participating in the study. We then found a user who is very-savvy with mobile technologies and knew a lot about how location-sharing apps worked (through that person’s research). However, that user did not personally use those apps. Thus, we ended up doing a relative re-ordering of our users and considered this user to be our medium-savvy user and promoted our other user (who we initially considered to be medium-savvy) to the status of a very-savvy user.

Though we had to do a relative re-ordering of our study participants, these users are representative of the user population categorization from GR1. User #2 never used any location-sharing apps previously and did not have a working knowledge of the capabilities of such mobile applications. Thus, that user is still a non-savvy user per the corresponding definition in GR1. We had to relax some of the constraints (usage of location-sharing apps) for the medium-savvy user because our User #3 had a mental model of how those apps worked but did not personally use them. User #1 can still be considered a very-savvy user because that user frequently used Google Latitude with family members and had previously used Facebook check-in (albeit rather infrequently).

Briefing:

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