Rapid technological development drives the development of technology for reducing distracted driving. Acceptance to such technologies is complex and relatively unknown, as it relies on various constructs and different characteristics of the users. Studies on technology acceptance can contribute to product development and policymaking to minimize driver distraction. This work presents a review of empirical research on technology acceptance for distracted-driving reduction technology, referred from 10 published studies within the past 10 years. Models that are evaluated include behavioral science theory such as the Technology Acceptance Model (TAM) and other proposed variables which influence the acceptance and usage of the technologies. Similarities and differences between studies with potential limitations and gaps are analyzed in this work. The results indicate that TAM is the most common model, proven to be a robust and useful tool. Additional factors added are proven to be insightful to complement the existing constructs in TAM. This work concluded less distraction is proven to improve driving performance, but at the cost of user acceptance. Discrepancy in term of studied location is highlighted in this work. Majority of the empirical studies are conducted in U.S. and European populations. Asian regions, despite largely populated with vehicle users, are severely underrepresented.