Data on land use change and socioeconomic dynamics in developing countries are often collected via paper-and-pencil interviewing (PAPI). This article reviews a computer-aided personal interviewing (CAPI) methodology adopted for the fourth wave of a panel survey administered in a remote region of the Brazilian Amazon in 2009. Ruggedized touch-screen laptops were used to address challenges associated with survey administration in this setting as well as limitations associated with the PAPI method. The authors discuss hardware and software considerations, methodological innovations, and tests for mode effects on missing item response rates and enumerator learning effects.