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2762_Working with Few Samples Methods that Help Analyze Social Attitude and Personal Emotion.
A Lattice-Based Access Control Model for Social Networks
With the recent advances in computing, artificial intelligence (AI) is quickly becoming a key component in the future of advanced applications. In one application in particular, AI has played a major role -that of revolutionizing traditional healthcare assistance. Using embodied interactive agents, or interactive robots, in healthcare scenarios has emerged as an innovative way to interact with patients. As an essential factor for interpersonal interaction, trust plays a crucial role in establishing and maintaining a patient-agent relationship. In this paper, we discuss a study related to healthcare in which we examine aspects of trust between humans and interactive robots during a therapy intervention in which the agent provides corrective feedback. A total of twenty participants were randomly assigned to receive corrective feedback from either a robotic agent or a human agent. Survey results indicate trust in a therapy intervention coupled with a robotic agent is comparable to that of trust in an intervention coupled with a human agent. Results also show a trend that the agent condition has a medium-sized effect on trust. In addition, we found that participants in the robot therapist condition are 3.5 times likely to have trust involved in their decision than the participants in the human therapist condition. These results indicate that the deployment of interactive robot agents in healthcare scenarios has the potential to maintain quality of health for future generations
Credulous Users and Fake News: a Real Case Study on the Propagation in Twitter
Fuzzy duocentric community detection model in social networks
Hardware-Oriented Construction of a Family of Rate-Compatible Raptor Codes
Towards the Design of a Machine Learning-based Consumer Healthcare Platform powered by Electronic Health Records and measurement of Lifestyle through Smartphone Data
ActiveDBC: learning Knowledge-based Information propagation in mobile social networks
2771_Internet of Things and Crowdsourcing - Towards a Multiple Integrating Model Based on the IoT Lab European Research Project.
Machine learned job recommendation
Network and profile based measures for user similarities on social networks
Localizing and Quantifying Damage in Social Media Images
Comparing two methods for crowdsourcing speech transcription
Affinity Propagation on Identifying Communities in Social and Biological Networks
Knowledge mining with genetic programming methods for variable selection in flavor design
A Multitask Learning Approach for Fake News Detection: Novelty, Emotion, and Sentiment Lend a Helping Hand
Neural Gender Prediction in Microblogging with Emotion-aware User Representation
Delay-Aware Incentive Mechanism for Crowdsourcing with Vehicles in Smart Cities
A Proposed Model for Lifestyle Disease Prediction Using Support Vector Machine
A Sufficient Condit ion for Manipulat ion of Envelope Family
Constructing a Cloud Computing Based Social Networks Data Warehousing and Analyzing System
Assessing hotel decision-making of disabled guests: satisfaction correlation study between online comments’ credibility and perceived risk
Optimal Question Answering Routing in Dynamic Online Social Networks
Rhea: Adaptively sampling authoritative content from social activity streams
2787_High-Density Memristor-CMOS Ternary Logic Family.
Analysis of Soil Properties and Climatic Data to Predict Crop Yields and Cluster Different Agricultural Regions of Bangladesh
Adaptive Budget Allocation for Sequential Tasks in Crowdsourcing
How you post is who you are: characterizing Google+ status updates across social groups
Detecting spammers on social networks based on a hybrid model
A semantic model for e-Participation - detailed conceptualization and ontology