Too Overloaded to Use : An Adaptive Network Model of Information Overload during Smartphone App Usage

Emerson Bracy, Henrik Lassila, Jan Treur*

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

Abstrakti

In this paper, a first-order adaptive self-modeling network model is introduced to model information overload in the context of cyclical usage of smartphone apps. The model consists of interacting attention resources and emotional responses to both attention taxation and the app engagements. The model makes use of first-order reification to simulate the agent’s learning of the connections between app engagement and emotional responses, and strategic use of attention resources. Furthermore, external factors, such as context and influence of the environment to use the apps, are included to model the usage decision of the agent. Simulations in two scenarios illustrate that the model captures expected dynamics of the phenomenon.
AlkuperäiskieliEnglanti
OtsikkoComplex Networks and Their Applications XII - Proceedings of The 12th International Conference on Complex Networks and their Applications
AlaotsikkoCOMPLEX NETWORKS 2023
ToimittajatHocine Cherifi, Luis M. Rocha, Chantal Cherifi, Murat Donduran
KustantajaSpringer
LukuHuman Behavior
Sivut67–79
Sivumäärä13
Vuosikerta4
Painos1
ISBN (elektroninen)978-3-031-53503-1
ISBN (painettu)978-3-031-53502-4
DOI - pysyväislinkit
TilaJulkaistu - 29 helmik. 2024
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaInternational Conference on Complex Networks and their Applications - Menton, Ranska
Kesto: 28 marrask. 202330 marrask. 2023
Konferenssinumero: 12
https://complexnetworks.org/

Julkaisusarja

NimiStudies in Computational Intelligence
KustantajaSpringer
ISSN (painettu)1860-949X
ISSN (elektroninen)1860-9503

Conference

ConferenceInternational Conference on Complex Networks and their Applications
Maa/AlueRanska
KaupunkiMenton
Ajanjakso28/11/202330/11/2023
www-osoite

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