An analysis of automatic teller machine usage by older adults: a structured interview approach
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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
W A Rogers1, D K Gilbert, E F Cabrera
1Department of Psychology, University of Georgia, Athens 30602-3013, USA.
Abstract:
It is often assumed that automatic teller machines (ATMs) are inherently easy to use and require no training. However, there is evidence to suggest that ATM users do experience difficulty when learning to use the system. The purpose of the present study was to conduct an in-depth analysis of ATM usage by older adults. Our approach consisted of telephone interviews followed by structured individual interviews. The goals were to understand the problems encountered by ATM users, to determine how ATMs might be better designed and to assess the training needs of older individuals. The phone interview data provide information about the relationships between age, sex and ATM usage within the adult sample, as well as information about why some people choose not to use ATMs. The structured interview data provide a more in-depth view of the concerns of both users and non-users, and information about training needs. The training and design implications of the results are discussed.

