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Susceptibility of Graduate Assistants to Social Influence Persuasive Strategies

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10391))

Abstract

Persuasive Technology which leverages technology to accomplish the art of persuasion has been successfully used to motivate people into adopting desirable target behaviours in many domains including workplaces. This success informed the decision to use persuasive technology to promote workplace engagement and collaboration among Graduate Assistants. This will result in a more effective and efficient learning process for students as well as creating a sense of relatedness among Graduate Assistants. An effective way of implementing Persuasive Technology is to tailor persuasive strategies to user groups and/or individuals. This study was therefore carried out to investigate the persuasive strategies Graduate Assistants are most susceptible to. A survey was conducted with 55 Graduate Assistants from the University of Saskatchewan. A Three-Way Mixed ANOVA with persuasive strategy as a within-subjects factor and Gender and Continent of Origin as a between-subjects factors was run. The results showed that in general, Graduate Assistants are most susceptible to Trustworthiness, followed by Reward and Competition and least susceptible to Social Learning and Social Comparison. Also, African and Asian females were found to be more susceptible to Trustworthiness than North American females. Also, African males were more susceptible to Social Learning than North American males. Designers must therefore consider Gender and Continent of Origin when choosing Social Learning and Trustworthiness as persuasive strategies to promote collaboration among Graduate Assistants.

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Acknowledgements

This research was supported by the NSERC Engage and Discovery grants to the second author.

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Correspondence to Humu-Haida Selassie .

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Selassie, HH., Vassileva, J. (2017). Susceptibility of Graduate Assistants to Social Influence Persuasive Strategies. In: Gutwin, C., Ochoa, S., Vassileva, J., Inoue, T. (eds) Collaboration and Technology. CRIWG 2017. Lecture Notes in Computer Science(), vol 10391. Springer, Cham. https://doi.org/10.1007/978-3-319-63874-4_10

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  • DOI: https://doi.org/10.1007/978-3-319-63874-4_10

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  • Publisher Name: Springer, Cham

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