Skill Specific Spoken Dialogues Based Personalized ATM Design to Maximize Effective Interaction for Visually Impaired Persona

Making machines for visually impaired persons is very challenging because they do not receive any useful information through SIGHT. The perception of background activities can be a good supportive mechanism for visually impaired users. In this work we focus on ATMs and propose a new ATM design, i.e., skill specific spoken dialogues based ATM (3s ATM). The personalized ATM design fulfills the requirements of visually impaired people while provisioning services for normal users also. Our proposed ATM is designed to assimilate into conventional ATMs and enable the effective interaction of visually impaired users with the machine. We first analyze the conventional ATM system through heuristics index to simulate its standardized design. For peer evaluation, visually impaired participants carry out the task analysis for simulated systems, i.e., both conventional ATM and 3s ATM. We found that 3s ATM design achieves 47% higher learnablility and 76% better usability than conventional ATMs. Thus we can achieve the machine compliance by overlooking the barriers and needs of the visually impaired persons in design stage.