AIMC Topic: Consumer Behavior

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Machine learning-based sales forecasting during crises: Evidence from a Turkish women's clothing retailer.

Science progress
BACKGROUND: Retail involves directly delivering goods and services to end consumers. Natural disasters and epidemics/pandemics have significant potential to disrupt supply chains, leading to shortages, forecasting errors, price increases, and substan...

Evaluating ChatGPT 4.0's User Satisfaction Among Doctors Across Different Medical Departments.

Studies in health technology and informatics
In an era increasingly focused on integrating Artificial Intelligence (AI) into healthcare, the utility and user satisfaction of AI applications like ChatGPT have become pivotal research areas. This study, conducted in Greece, engaged 193 doctors fro...

Exploring the Influential Factors of Consumers' Willingness Toward Using COVID-19 Related Chatbots: An Empirical Study.

Medical archives (Sarajevo, Bosnia and Herzegovina)
BACKGROUND: Consumers' willingness to use health chatbots can eventually determine if the adoption of health chatbots will succeed in delivering healthcare services for combating COVID-19. However, little research to date has empirically explored inf...

Learning the Personalized Intransitive Preferences of Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Most of the previous studies on the user preferences assume that there is a personal transitive preference ranking of the consumable media like images. For example, the transitivity of preferences is one of the most important assumptions in the recom...

Prediction of user preference over shared-control paradigms for a robotic wheelchair.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
The design of intelligent powered wheelchairs has traditionally focused heavily on providing effective and efficient navigation assistance. Significantly less attention has been given to the end-user's preference between different assistance paradigm...

Validation of the ULCEAT methodology by applying it in retrospect to the Roboticbed.

Studies in health technology and informatics
BACKGROUND: In answer to the increasing demand for care by the Japanese oldest portion of the population, an extensive programme of life support robots is under development, advocated by the Japanese government. Roboticbed (RB) is developed to facili...