Augmented Reality Technologies Selection Using the Task-Technology Fit Model – A Study with ICETS

Abstract

The emergence of Augmented Reality (AR) to enhance online and offline customer experiences is fueling great opportunities and multiple business cases. This paper examines how the AR technologies are selected by the Infosys Center for Emerging Technologies Solutions (ICETS) to develop solutions for various global users. A combination of interviews, emails, questions and a survey methodology was used to understand how the AR set up is selected with the users, where these technologies are being employed, the strengths and limitations, and where there is continued development with partners to mature. The iterative process enabled the mapping of user expectations and values to the technology characterisitcs to select the AR technology for a specific task. The Task Technology Fit (TTF) model was used to explain the theory for how user expectations and technology characteristics can be used to determine fit especially where the technology is still maturing.