43,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in über 4 Wochen
  • Broschiertes Buch

Written language level used by software developers in their design is one of the important factors that affect easy-to-use banking Automated Teller machine (ATM) system interfaces (SI). ATM SI for the Nigerian populace is not easy-to-use because some software developers of banking ATM systems in Nigeria lack strategies to create easy-to-use ATM SI that can meet the needs of the illiterate, semiliterate, or literate users. These challenges prompted the study "User Interface Challenges of Banking ATM Systems in Nigeria" by Felix Chukwuma Aguboshim. In his study, the author adopted the technology…mehr

Produktbeschreibung
Written language level used by software developers in their design is one of the important factors that affect easy-to-use banking Automated Teller machine (ATM) system interfaces (SI). ATM SI for the Nigerian populace is not easy-to-use because some software developers of banking ATM systems in Nigeria lack strategies to create easy-to-use ATM SI that can meet the needs of the illiterate, semiliterate, or literate users. These challenges prompted the study "User Interface Challenges of Banking ATM Systems in Nigeria" by Felix Chukwuma Aguboshim. In his study, the author adopted the technology acceptance model (TAM) as the conceptual framework. The TAM, therefore, provided the foundation for the qualitative single case study design adopted and how it was approached. Four major strategies emerged: the importance of user-centered design strategies, the importance of user feedback as essential interface design, the value of pictorial images and voice prompts, and the importance of well-defined interface development process. The findings are beneficial for the future development of strategies to create easy-to-use ATM SI and other user interface technology dependent systems.
Autorenporträt
Dr Felix Chukwuma Aguboshim est titulaire d'un doctorat en technologie de l'information de l'Université Walden, Minneapolis, MN55401, États-Unis. Il est expert en technologies de l'information, analyste de systèmes informatiques et ingénieur en logiciels.