Investigating User Perceptions of Persuasive Design Elements that Influence Perceived Credibility

Felix N. Koranteng; Jaap Ham; Isaac Wiafe

doi:10.1007/978-3-030-79460-6_13

Investigating User Perceptions of Persuasive Design Elements that Influence Perceived Credibility

Felix N. Koranteng, Jaap Ham, Isaac Wiafe

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

2 Citaten (Scopus)

2 Downloads (Pure)

Samenvatting

Given the prevalent use of technology for human activities, the determinants of user perceptions of the credibility of technological systems must be understood. This study investigated how user perceptions of persuasive elements that are incorporated in Academic Social Networking Sites (ASNSs) influence the Perceived Credibility of these sites. Specifically, the effects of Personalization, Reduction, Tailoring, Self-Monitoring, Rehearsal, Simulation and Tunneling on Perceived Credibility are examined. An online survey was adopted to examine the research model. Partial Least Square techniques were used to assess the significance of the determinants on Perceived Credibility. Results indicate that Tailoring positively influences Perceived Credibility whereas Personalization has a negative significant effect. Implications for theoretical insights into Perceived Credibility and its determinants and design implication are discussed.

Originele taal-2	Engels
Titel	Persuasive Technology - 16th International Conference, PERSUASIVE 2021, Proceedings
Redacteuren	Raian Ali, Birgit Lugrin, Fred Charles
Uitgeverij	Springer
Pagina's	164-177
Aantal pagina's	14
ISBN van geprinte versie	9783030794590
DOI's	https://doi.org/10.1007/978-3-030-79460-6_13
Status	Gepubliceerd - 2021
Evenement	16th International Conference on Persuasive Technology, PERSUASIVE 2021 - Virtual, Online Duur: 12 apr. 2021 → 14 apr. 2021

Publicatie series

Naam	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12684 LNCS
ISSN van geprinte versie	0302-9743
ISSN van elektronische versie	1611-3349

Congres

Congres	16th International Conference on Persuasive Technology, PERSUASIVE 2021
Stad	Virtual, Online
Periode	12/04/21 → 14/04/21

Bibliografische nota

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

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10.1007/978-3-030-79460-6_13

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Koranteng, F. N., Ham, J., & Wiafe, I. (2021). Investigating User Perceptions of Persuasive Design Elements that Influence Perceived Credibility. In R. Ali, B. Lugrin, & F. Charles (editors), Persuasive Technology - 16th International Conference, PERSUASIVE 2021, Proceedings (blz. 164-177). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12684 LNCS). Springer. https://doi.org/10.1007/978-3-030-79460-6_13

Koranteng, Felix N. ; Ham, Jaap ; Wiafe, Isaac. / Investigating User Perceptions of Persuasive Design Elements that Influence Perceived Credibility. Persuasive Technology - 16th International Conference, PERSUASIVE 2021, Proceedings. redacteur / Raian Ali ; Birgit Lugrin ; Fred Charles. Springer, 2021. blz. 164-177 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Investigating User Perceptions of Persuasive Design Elements that Influence Perceived Credibility",

abstract = "Given the prevalent use of technology for human activities, the determinants of user perceptions of the credibility of technological systems must be understood. This study investigated how user perceptions of persuasive elements that are incorporated in Academic Social Networking Sites (ASNSs) influence the Perceived Credibility of these sites. Specifically, the effects of Personalization, Reduction, Tailoring, Self-Monitoring, Rehearsal, Simulation and Tunneling on Perceived Credibility are examined. An online survey was adopted to examine the research model. Partial Least Square techniques were used to assess the significance of the determinants on Perceived Credibility. Results indicate that Tailoring positively influences Perceived Credibility whereas Personalization has a negative significant effect. Implications for theoretical insights into Perceived Credibility and its determinants and design implication are discussed.",

keywords = "Academic Social Networking Sites, Perceived Credibility, Persuasive design, Tailoring",

author = "Koranteng, {Felix N.} and Jaap Ham and Isaac Wiafe",

note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 16th International Conference on Persuasive Technology, PERSUASIVE 2021 ; Conference date: 12-04-2021 Through 14-04-2021",

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doi = "10.1007/978-3-030-79460-6_13",

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Koranteng, FN , Ham, J & Wiafe, I 2021, Investigating User Perceptions of Persuasive Design Elements that Influence Perceived Credibility. in R Ali, B Lugrin & F Charles (uitgave), Persuasive Technology - 16th International Conference, PERSUASIVE 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12684 LNCS, Springer, blz. 164-177, 16th International Conference on Persuasive Technology, PERSUASIVE 2021, Virtual, Online, 12/04/21. https://doi.org/10.1007/978-3-030-79460-6_13

Investigating User Perceptions of Persuasive Design Elements that Influence Perceived Credibility. / Koranteng, Felix N.; Ham, Jaap; Wiafe, Isaac.
Persuasive Technology - 16th International Conference, PERSUASIVE 2021, Proceedings. uitgave / Raian Ali; Birgit Lugrin; Fred Charles. Springer, 2021. blz. 164-177 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12684 LNCS).

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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AU - Ham, Jaap

AU - Wiafe, Isaac

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N2 - Given the prevalent use of technology for human activities, the determinants of user perceptions of the credibility of technological systems must be understood. This study investigated how user perceptions of persuasive elements that are incorporated in Academic Social Networking Sites (ASNSs) influence the Perceived Credibility of these sites. Specifically, the effects of Personalization, Reduction, Tailoring, Self-Monitoring, Rehearsal, Simulation and Tunneling on Perceived Credibility are examined. An online survey was adopted to examine the research model. Partial Least Square techniques were used to assess the significance of the determinants on Perceived Credibility. Results indicate that Tailoring positively influences Perceived Credibility whereas Personalization has a negative significant effect. Implications for theoretical insights into Perceived Credibility and its determinants and design implication are discussed.

AB - Given the prevalent use of technology for human activities, the determinants of user perceptions of the credibility of technological systems must be understood. This study investigated how user perceptions of persuasive elements that are incorporated in Academic Social Networking Sites (ASNSs) influence the Perceived Credibility of these sites. Specifically, the effects of Personalization, Reduction, Tailoring, Self-Monitoring, Rehearsal, Simulation and Tunneling on Perceived Credibility are examined. An online survey was adopted to examine the research model. Partial Least Square techniques were used to assess the significance of the determinants on Perceived Credibility. Results indicate that Tailoring positively influences Perceived Credibility whereas Personalization has a negative significant effect. Implications for theoretical insights into Perceived Credibility and its determinants and design implication are discussed.

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Koranteng FN , Ham J, Wiafe I. Investigating User Perceptions of Persuasive Design Elements that Influence Perceived Credibility. In Ali R, Lugrin B, Charles F, redacteurs, Persuasive Technology - 16th International Conference, PERSUASIVE 2021, Proceedings. Springer. 2021. blz. 164-177. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-79460-6_13

Investigating User Perceptions of Persuasive Design Elements that Influence Perceived Credibility

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