Abstract
The aging of populations worldwide has emerged as an important focus of research and policy. Concomitantly, capturing the daily life of elders is becoming a major task for researchers and service providers. In a mobile internet environment, traditional methods are not adequate to support contextualized information behavior research on the elderly. Based on a comparison of six methods from four perspectives (context, time, user, and data), this paper introduces the mobile experience sampling method (mESM) as an effective approach to the study of elders’ everyday information behaviors. An overview of mESM is presented, and a general three-stage framework is proposed to discuss its implementation. We also offer suggestions to improve the efficacy of mESM in addressing the real conditions and characteristics of the elderly and discuss the method’s advantages, disadvantages and related problems from the perspectives of researchers, elders, and policymakers. Overall, we find mESM to be an ideal longitudinal method for capturing the contextualized day-to-day information behavior of elders.
Published Version
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