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Explainable persuasion for interactive design: The case of online gambling.

Cemiloglu, D., Arden-Close, E., Hodge, S. and Ali, R., 2022. Explainable persuasion for interactive design: The case of online gambling. Journal of Systems and Software, 195, 111517.

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DOI: 10.1016/j.jss.2022.111517

Abstract

Persuasive technology refers to digital means that influence attitude behaviour, and decisions. While the professional design of persuasive interfaces considers user interests and freedom of choice a primary requirement, principles and methods to achieve it are yet to be introduced. In the design of persuasive interfaces, fulfilling conditions of informed consent can help establish transparency and address such ethical issues. This paper defined explainable persuasion, its potential form, and benefits and explored whether explainable persuasion is a user requirement on demand. This paper further examined explainable persuasion design from the user’s perspective and reported on acceptance and rejection factors, as well as possible design tensions and solutions. In this study, we took online gambling as a case study. A total of 250 UK-based users of gambling platforms (age range 18 – 75, 18–75, 127 female) completed our online survey based on principles of persuasion and explainability. Findings showed that players were aware of the use, persuasive intent, and potential harm of various persuasive design techniques used in online gambling platforms (e.g., the use of in-game rewards, reminders, and praise to encourage further gambling). Despite this awareness, they agreed that explainable persuasion can still help users stay in control of their online experience, increase their positive attitude towards the online system, and keep them reminded of the potential side effects of persuasive interfaces. Future research is required to enhance the design and implementation of explainable persuasion in persuasive interfaces.

Item Type:Article
ISSN:0164-1212
Uncontrolled Keywords:explainability; persuasive systems; ethical design; informed consent; online gambling
Group:Faculty of Science & Technology
ID Code:37724
Deposited By: Symplectic RT2
Deposited On:28 Oct 2022 10:39
Last Modified:28 Oct 2022 10:39

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