Persuasive technologies for sustainable mobility: State of the art and emerging trends
In recent years, persuasive interventions for inducing sustainable mobility behaviours have
become an active research field. This review paper systematically analyses existing …
become an active research field. This review paper systematically analyses existing …
Key elements of mobility apps for improving urban travel patterns: A literature review
In recent decades cities have applied a number of policy measures aimed at reducing car
use and increasing public transportation (PT) patronage. Persuasive strategies to change …
use and increasing public transportation (PT) patronage. Persuasive strategies to change …
Gac: A deep reinforcement learning model toward user incentivization in unknown social networks
In recent years, many applications have deployed incentive mechanisms to promote users'
attention and engagement. Most incentive mechanisms determine specific incentive values …
attention and engagement. Most incentive mechanisms determine specific incentive values …
Analysis of the Impact of Knowledge on Sustainable Travel Choices: an Empirical Study with Informational Videos and Gamified Quizzes
Carbon emissions from transport are increasing on a global scale with transport accounting
for the largest portion. While there is greater awareness of climate change, few people are …
for the largest portion. While there is greater awareness of climate change, few people are …
Identifying influential users in unknown social networks for adaptive incentive allocation under budget restriction
In recent years, recommenze the social influence among users to enhance the effect of
incentivization. Through incentivizing influential users directly, their followers in the social …
incentivization. Through incentivizing influential users directly, their followers in the social …
Nudging Towards Responsible Recommendations: a Graph-Based Approach to Mitigate Belief Filter Bubbles
Personalized recommendation systems homogenize user preferences, causing an extreme
belief imbalance and aggravating user bias. This phenomenon is known as the filter bubble …
belief imbalance and aggravating user bias. This phenomenon is known as the filter bubble …
Towards persuasive recommender systems
A Alslaity, T Tran - 2019 IEEE 2nd international conference on …, 2019 - ieeexplore.ieee.org
The primary objective of recommender systems, in a general sense, is to recommend items
to users rather than to persuade users to get those items. Hence, a recommender system is …
to users rather than to persuade users to get those items. Hence, a recommender system is …
Learning Influential Relationships for Implicit Influence Maximization in Unknown Networks
Social networks have been a common medium for spreading information among users.
Inspired by this phenomenon, business companies consider 'hiring'some influential users in …
Inspired by this phenomenon, business companies consider 'hiring'some influential users in …
[PDF][PDF] Learning policies for effective incentive allocation in unknown social networks
Most existing incentive allocation approaches rely on sufficient information about users'
attributes, such as their preferences, followers in the social network, and activities, to …
attributes, such as their preferences, followers in the social network, and activities, to …
Adaptive incentive allocation for influence-aware proactive recommendation
Most recommendation systems are designed for seeking users' demands and preferences,
whereas impotent to affect users' decisions for realizing the system-level objective. In this …
whereas impotent to affect users' decisions for realizing the system-level objective. In this …