2020
Fatima Alshammari; Khalid Tearo; Aaqib Mohammed; Rita Orji; Kirstie Hawkey; Derek Reilly
MAR: A Study of the Impact of Positive and Negative Reinforcement on Medication Adherence Reminders Proceedings Article
In: Proceedings of SeGAH 2020 , IEEE, 2020.
BibTeX | Tags: gamification, health, mobile, persuasive technology
@inproceedings{AlShammari2020,
title = {MAR: A Study of the Impact of Positive and Negative Reinforcement on Medication Adherence Reminders},
author = {Fatima Alshammari and Khalid Tearo and Aaqib Mohammed and Rita Orji and Kirstie Hawkey and Derek Reilly},
year = {2020},
date = {2020-08-12},
booktitle = {Proceedings of SeGAH 2020 },
publisher = {IEEE},
keywords = {gamification, health, mobile, persuasive technology},
pubstate = {published},
tppubtype = {inproceedings}
}
2018
Rita Orji; Derek Reilly; Kiemute Oyibo; Fidelia A. Orji
Deconstructing persuasiveness of strategies in behaviour change systems using the ARCS model of motivation Journal Article
In: Behaviour and Information Technology, 2018.
Abstract | Links | BibTeX | Tags: ARCS model, behaviour change, personalisation, Persuasive strategies, persuasive technology
@article{orji2018BIT,
title = {Deconstructing persuasiveness of strategies in behaviour change systems using the ARCS model of motivation},
author = {Rita Orji and Derek Reilly and Kiemute Oyibo and Fidelia A. Orji},
doi = {10.1080/0144929X.2018.1520302},
year = {2018},
date = {2018-09-17},
journal = {Behaviour and Information Technology},
abstract = {Persuasive technologies (PTs) motivate behaviour change using various persuasive strategies. However, there is still a dearth of knowledge on how PTs motivate behaviour change and how to design systems to increase their persuasiveness. To provide empirical insight into the mechanism through which PTs persuade, we conducted a large-scale study with 543 participants to investigate the relation between Attention, Relevance, Confidence, and Satisfaction constructs from the ARCS model of motivation and 10 strategies that are commonly used in persuasive systems design. Our results show that the ARCS constructs collectively explain between 82% and 91% of the variance in persuasiveness across the ten strategies. Relevance, followed by Attention, has the strongest association with persuasiveness. The result generalises across gender groups. Therefore, to increase a system’s persuasiveness, designers should focus on designing to increase relevance and to capture user’s attention, while also promoting confidence and a feeling of satisfaction. We contribute to Human–Computer Interaction (HCI) and Persuasive Technology by offering design guidelines for PTs to increase their persuasiveness and hence efficacy.},
keywords = {ARCS model, behaviour change, personalisation, Persuasive strategies, persuasive technology},
pubstate = {published},
tppubtype = {article}
}
Persuasive technologies (PTs) motivate behaviour change using various persuasive strategies. However, there is still a dearth of knowledge on how PTs motivate behaviour change and how to design systems to increase their persuasiveness. To provide empirical insight into the mechanism through which PTs persuade, we conducted a large-scale study with 543 participants to investigate the relation between Attention, Relevance, Confidence, and Satisfaction constructs from the ARCS model of motivation and 10 strategies that are commonly used in persuasive systems design. Our results show that the ARCS constructs collectively explain between 82% and 91% of the variance in persuasiveness across the ten strategies. Relevance, followed by Attention, has the strongest association with persuasiveness. The result generalises across gender groups. Therefore, to increase a system’s persuasiveness, designers should focus on designing to increase relevance and to capture user’s attention, while also promoting confidence and a feeling of satisfaction. We contribute to Human–Computer Interaction (HCI) and Persuasive Technology by offering design guidelines for PTs to increase their persuasiveness and hence efficacy.