Adaptive & dynamic interfaces for automated teller machines using clusters

Abstract

Using an ATM has become an essential part for the ATM cardholders. As it dispenses cash not only in the same city or country but also throughout the world in multiple currencies dependent upon ATM card brand such as VISA, Mastercard, CUP, American Express etc. Now a days ATM offers a diverse set of transactions and services; which calls for complexity to an ATM's interface and design. Navigation menus are getting more and more complex in nature and require customers to step through complex menus to perform a single transaction each time. Although ATMs offer static interface designs for own bank cardholders, which results in displaying all the transaction set available, where some of them are irrelevant and time consuming. Furthermore, every bank has their own unique ATM design interface which creates problems to customers interacting with different navigation menus. Hence, it could be useful to enhance the ATM interface by focusing on target audience and their demographics, which may include their geographical location, education level, gender, age group, professions and frequency of performed transactions. Designing an effective and adaptive interface enhances customer satisfaction towards ATM usage, unlike waiting in a queue while an elderly or novice is trying to understand the ATM's menu complexity or going through navigational menus to perform the same transaction each time [1]. In this paper, the authors have proposed Adaptive and Dynamic ATM interfaces in the light of frequent transactions for the group of people with similar transactional behavior.