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Crowdsensing From the Perspective of Behavioral Economics: An Incentive Mechanism Based on Mental Accounting

https://doi.org/10.1109/jiot.2019.2928035
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Mental accounting matters
inferredcites →https://doi.org/10.1007/978-0-230-39103-1openalex-snapshot
An Introduction to Behavioral Economics
inferredcites →https://doi.org/10.1007/978-3-319-24018-3_2openalex-snapshot
Privacy-Respecting Auctions as Incentive Mechanisms in Mobile Crowd Sensing
inferredcites →https://doi.org/10.1007/bf00122574openalex-snapshot
Advances in prospect theory: Cumulative representation of uncertainty
inferredcites →https://doi.org/10.1007/s10766-018-0559-9openalex-snapshot
Analysis for Behavioral Economics in Social Networks: An Altruism-Based Dynamic Cooperation Model
inferredcites →https://doi.org/10.1007/s11280-011-0120-xopenalex-snapshot
Discovery of unusual regional social activities using geo-tagged microblogs
inferredcites →https://doi.org/10.1016/j.comnet.2017.12.010openalex-snapshot
Heterogeneous incentive mechanism for time-sensitive and location-dependent crowdsensing networks with random arrivals
inferredcites →https://doi.org/10.1016/j.procs.2012.06.165openalex-snapshot
An Incentive-Based Framework for Vehicle-Based Mobile Sensing
inferredcites →https://doi.org/10.1057/978-1-137-52413-3openalex-snapshot
An Introduction to Behavioral Economics
inferredcites →https://doi.org/10.1080/15427560.2012.653293openalex-snapshot
Mental Accounting and False Reference Points in Real Estate Investment Decision Making
inferredcites →https://doi.org/10.1093/jcr/ucv045openalex-snapshot
On the Mental Accounting of Restricted-Use Funds: How Gift Cards Change What People Purchase
inferredcites →https://doi.org/10.1109/access.2017.2783322openalex-snapshot
The Novel Location Privacy-Preserving CKD for Mobile Crowdsourcing Systems
inferredcites →https://doi.org/10.1109/comst.2015.2415528openalex-snapshot
Incentives for Mobile Crowd Sensing: A Survey
inferredcites →https://doi.org/10.1109/iccke.2016.7802154openalex-snapshot
A survey on participant recruitment in crowdsensing systems
inferredcites →https://doi.org/10.1109/icdcs.2018.00066openalex-snapshot
Pay On-Demand: Dynamic Incentive and Task Selection for Location-Dependent Mobile Crowdsensing Systems
inferredcites →https://doi.org/10.1109/infocom.2017.8057111openalex-snapshot
CENTURION: Incentivizing multi-requester mobile crowd sensing
inferredcites →https://doi.org/10.1109/infocom.2018.8486418openalex-snapshot
Sybil-Proof Online Incentive Mechanisms for Crowdsensing
inferredcites →https://doi.org/10.1109/jiot.2015.2409151openalex-snapshot
A Survey of Incentive Techniques for Mobile Crowd Sensing
inferredcites →https://doi.org/10.1109/jiot.2015.2441031openalex-snapshot
Keep Your Promise: Mechanism Design Against Free-Riding and False-Reporting in Crowdsourcing
inferredcites →https://doi.org/10.1109/jiot.2016.2600634openalex-snapshot
A Fair Incentive Mechanism for Crowdsourcing in Crowd Sensing
inferredcites →https://doi.org/10.1109/jiot.2018.2883452openalex-snapshot
An Incentive Mechanism Combined With Anchoring Effect and Loss Aversion to Stimulate Data Offloading in IoT
inferredcites →https://doi.org/10.1109/mass.2017.17openalex-snapshot
Mobile Crowd Sensing via Online Communities: Incentive Mechanisms for Multiple Cooperative Tasks
inferredcites →https://doi.org/10.1109/mcom.2016.7509395openalex-snapshot
Sparse mobile crowdsensing: challenges and opportunities
inferredcites →https://doi.org/10.1109/mcom.2017.1600725cmopenalex-snapshot
A Location-Based Mobile Crowdsensing Framework Supporting a Massive Ad Hoc Social Network Environment
inferredcites →https://doi.org/10.1109/mcom.2017.1600746cmopenalex-snapshot
Sustainable Incentives for Mobile Crowdsensing: Auctions, Lotteries, and Trust and Reputation Systems
inferredcites →https://doi.org/10.1109/mnet.2017.1500151openalex-snapshot
QUOIN: Incentive Mechanisms for Crowd Sensing Networks
inferredcites →https://doi.org/10.1109/percomw.2014.6815172openalex-snapshot
Gamification-based incentive mechanism for participatory sensing
inferredcites →https://doi.org/10.1109/scc.2017.16openalex-snapshot
ParkBid: An Incentive Based Crowdsourced Bidding Service for Parking Reservation
inferredcites →https://doi.org/10.1109/tie.2016.2645138openalex-snapshot
Distributed Algorithms to Compute Walrasian Equilibrium in Mobile Crowdsensing
inferredcites →https://doi.org/10.1109/tifs.2017.2737968openalex-snapshot
A Secure Mobile Crowdsensing Game With Deep Reinforcement Learning
inferredcites →https://doi.org/10.1109/tla.2016.7437227openalex-snapshot
A location-based Incentive Algorithm for Consecutive Crowd Sensing Tasks
inferredcites →https://doi.org/10.1109/tmc.2017.2653774openalex-snapshot
Crowdsourcing Sensing to Smartphones: A Randomized Auction Approach
inferredcites →https://doi.org/10.1109/tmc.2017.2780091openalex-snapshot
Frameworks for Privacy-Preserving Mobile Crowdsensing Incentive Mechanisms
inferredcites →https://doi.org/10.1109/tmc.2018.2861393openalex-snapshot
Personalized Privacy-Preserving Task Allocation for Mobile Crowdsensing
inferredcites →https://doi.org/10.1109/tmc.2018.2877459openalex-snapshot
Online Quality-Aware Incentive Mechanism for Mobile Crowd Sensing with Extra Bonus
inferredcites →https://doi.org/10.1109/tnet.2015.2421897openalex-snapshot
Incentive Mechanisms for Crowdsensing: Crowdsourcing With Smartphones
inferredcites →https://doi.org/10.1109/tpds.2017.2775232openalex-snapshot
MeLoDy: A Long-Term Dynamic Quality-Aware Incentive Mechanism for Crowdsourcing
inferredcites →https://doi.org/10.1109/tst.2016.7442498openalex-snapshot
An integrated incentive framework for mobile crowdsourced sensing
inferredcites →https://doi.org/10.1109/tvt.2016.2587722openalex-snapshot
Frugal Online Incentive Mechanisms for Mobile Crowd Sensing
inferredcites →https://doi.org/10.1109/tvt.2016.2611761openalex-snapshot
Invisible Hand: A Privacy Preserving Mobile Crowd Sensing Framework Based on Economic Models
inferredcites →https://doi.org/10.1145/2632048.2636064openalex-snapshot
Steered crowdsensing
inferredcites →https://doi.org/10.1145/2837029openalex-snapshot
Incentive Mechanism Design for Crowdsourcing
inferredcites →https://doi.org/10.1145/2888398openalex-snapshot
Incentive Mechanisms for Participatory Sensing
inferredcites →https://doi.org/10.1155/2018/4350183openalex-snapshot
Analysis of Behavioral Economics in Crowdsensing: A Loss Aversion Cooperation Model
inferredcites →https://doi.org/10.1504/ijbem.2008.019243openalex-snapshot
The effects of behavioural factors in investment decision-making: a survey of institutional investors operating at the Nairobi Stock Exchange
inferredcites →https://doi.org/10.1504/ijsnet.2017.10007410openalex-snapshot
Cooperative Stackelberg Game Based Optimal Allocation And Pricing Mechanism In Crowdsensing
inferredcites →https://doi.org/10.1504/ijsnet.2018.094696openalex-snapshot
Cooperative Stackelberg game based optimal allocation and pricing mechanism in crowdsensing

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.1002/eng2.70572openalex-snapshot
Pricing Mechanism of Personal Data Trading Based on Multi‐Dimensional Dynamic Model
inferred← citeshttps://doi.org/10.1007/s12083-024-01681-3openalex-snapshot
Truthful double auction based incentive mechanism for participatory sensing systems
inferred← citeshttps://doi.org/10.1016/j.iot.2024.101470openalex-snapshot
Utility-based dual pricing incentive mechanism for multi-stakeholder in mobile crowd sensing
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128993openalex-snapshot
Mobile crowdsourcing based on 5G and 6G: A survey
inferred← citeshttps://doi.org/10.1038/s41598-023-41993-7openalex-snapshot
Boundedly rational bidding decision for land auctions during the transformation of real estate markets
inferred← citeshttps://doi.org/10.1049/gtd2.12953openalex-snapshot
A three‐stage economy optimization method for the aggregator based on electric vehicle user response volumes
inferred← citeshttps://doi.org/10.1109/csce60160.2023.00201openalex-snapshot
BIMEE: Blockchain Based Incentive Mechanism Considering Endowment Effect
inferred← citeshttps://doi.org/10.1109/icc42927.2021.9500670openalex-snapshot
Collaborative Participatory Crowd Sensing Using Reputation and Reliability with Expectation Maximization for IoT Networks
inferred← citeshttps://doi.org/10.1109/jiot.2020.2976778openalex-snapshot
A Learning-Based Credible Participant Recruitment Strategy for Mobile Crowd Sensing
inferred← citeshttps://doi.org/10.1109/jiot.2020.3047105openalex-snapshot
An Incentive Mechanism for Privacy-Preserving Crowdsensing via Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/jiot.2022.3190565openalex-snapshot
Nondeterministic-Mobility-Based Incentive Mechanism for Efficient Data Collection in Crowdsensing
inferred← citeshttps://doi.org/10.1109/tifs.2024.3484946openalex-snapshot
A Practical Federated Learning Framework With Truthful Incentive in UAV-Assisted Crowdsensing
inferred← citeshttps://doi.org/10.1109/tmc.2020.3002586openalex-snapshot
An Incentive Mechanism Based on Behavioural Economics in Location-based Crowdsensing Considering an Uneven Distribution of Participants
inferred← citeshttps://doi.org/10.1109/tmc.2025.3641839openalex-snapshot
Incentive Mechanism for Crowdsensing With User Autonomous Decision-Making Based on Prospect Theory and Ordered Submodularity
inferred← citeshttps://doi.org/10.1155/2021/8601425openalex-snapshot
[Retracted] Legal Protection of Artificial Intelligence Data and Algorithms from the Perspective of Internet of Things Resource Sharing
inferred← citeshttps://doi.org/10.1155/2022/9005517openalex-snapshot
Dynamic Pricing for Dual-Channel Supply Chain considering Consumers with Double-Entry Mental Accounting
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3195682/v1openalex-snapshot
Double Auction Based Incentive Mechanism for Participatory Sensing Systems
inferred← citeshttps://doi.org/10.3390/math11102288openalex-snapshot
Decision Analysis under Behavioral Economics—Incentive Mechanism for Improving Data Quality in Crowdsensing
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