scholarly journals User Preference of Different Artificial Intelligence Level in Vehicle System

Author(s):  
Jun Ma ◽  
Yuanyang Zuo ◽  
Zaiyan Gong
Informatics ◽  
2020 ◽  
Vol 7 (3) ◽  
pp. 28
Author(s):  
Carl Strathearn ◽  
Minhua Ma

Realistic humanoid robots (RHRs) with embodied artificial intelligence (EAI) have numerous applications in society as the human face is the most natural interface for communication and the human body the most effective form for traversing the manmade areas of the planet. Thus, developing RHRs with high degrees of human-likeness provides a life-like vessel for humans to physically and naturally interact with technology in a manner insurmountable to any other form of non-biological human emulation. This study outlines a human–robot interaction (HRI) experiment employing two automated RHRs with a contrasting appearance and personality. The selective sample group employed in this study is composed of 20 individuals, categorised by age and gender for a diverse statistical analysis. Galvanic skin response, facial expression analysis, and AI analytics permitted cross-analysis of biometric and AI data with participant testimonies to reify the results. This study concludes that younger test subjects preferred HRI with a younger-looking RHR and the more senior age group with an older looking RHR. Moreover, the female test group preferred HRI with an RHR with a younger appearance and male subjects with an older looking RHR. This research is useful for modelling the appearance and personality of RHRs with EAI for specific jobs such as care for the elderly and social companions for the young, isolated, and vulnerable.


2020 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Shengzhe Liang

Cognitive optical network is the intermediate to combine artificial intelligence technology with network, and also the important network technology to promote network intelligence level constantly. In the paper, it analyzes the cognitive optical network structure with the application of artificial intelligence technology by starting from the basic conditions of cognitive network and cognitive optional network on the basis of fully understanding the connotation of cognitive network and cognitive optical network, and explores its self-governance functions, so as to better realize the self-optimization and self-configuration of network.


2017 ◽  
Vol 6 (2) ◽  
pp. 110-133 ◽  
Author(s):  
Tousif Osman ◽  
Maisha Mahjabeen ◽  
Shahreen Shahjahan Psyche ◽  
Afsana Imam Urmi ◽  
J.M. Shafi Ferdous ◽  
...  

The research introduces an adaptive food searching and recommending engine by taste and user preference using fuzzy logic. In contrast with existing system where food is searched by predefined keywords, this system searches food by its taste and users' preference which allows the system to provide better results. As food taste cannot be measured and user's preference is relative to each user, the authors have used concepts of artificial intelligence (AI) and fuzzy logic to better understand and deal the abstractness of these parameters. Along with food taste the authors have considered restaurant's environment, location, review and user's budget as searching parameters. The system includes a fuzzy database where food items of different restaurants with the specific parameters have been stored and gets updated by user feedback. System also maintains a user profile for individual user to adapt with individual user's choice of preference.


Author(s):  
David L. Poole ◽  
Alan K. Mackworth

Sign in / Sign up

Export Citation Format

Share Document