Persuasive strategy implementation choices and their effectiveness: towards personalised persuasive systems

被引:6
作者
Oyebode, Oladapo [1 ]
Orji, Rita [1 ]
机构
[1] Dalhousie Univ, Fac Comp Sci, Halifax, NS, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Persuasive system; persuasive strategy; implementation choices; behaviour change; stage of change; personalisation; TRANSTHEORETICAL MODEL; BEHAVIOR-CHANGE; PHYSICAL-ACTIVITY; HEALTH BEHAVIOR; SMARTPHONE APP; SELF-EFFICACY; INTERVENTION; TECHNOLOGIES; GAMIFICATION; MANAGEMENT;
D O I
10.1080/0144929X.2022.2112612
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Persuasive systems motivate behaviour change using persuasive strategies (PS) which are often implemented in various ways. However, whether or not the effectiveness of PS varies depending on implementation choices is yet to be investigated via an empirical study. We conduct a large-scale study of 568 participants to investigate if and how individuals at different Stages of Change (SoC) respond to different implementations of each strategy in the same system. We also explore why the implementations motivate behaviour change using ARCS motivation model. Our results show that people's SoC plays a significant role in the perceived effectiveness of different implementations of the same strategy and that the implementations motivate for different reasons. For instance, people at the precontemplation stage are motivated by reward strategy implemented as badges because it increases their Confidence, while people in the preparation stage prefer reward implemented as points to build their Confidence. Our work links SoC theory with motivation theory and Persuasive Systems Design (PSD) model to offer practical guidelines for tailoring PS implementations to individuals to motivate behaviour change.
引用
收藏
页码:2176 / 2209
页数:34
相关论文
共 174 条
[91]  
Khaled R, 2008, LECT NOTES COMPUT SC, V5033, P224, DOI 10.1007/978-3-540-68504-3_20
[92]  
Khan S., 2020, Technology and Health, P353, DOI DOI 10.1016/B978-0-12-816958-2.00016-2
[93]  
Klein Pauline, 2019, JMIR Hum Factors, V6, pe14023, DOI 10.2196/14023
[94]   Persuasive Technologies in m-Learning for Training Professionals: How to Keep Learners Engaged With Adaptive Triggering [J].
Kljun, Matjaz ;
Krulec, Rok ;
Pucihar, Klen Copic ;
Solina, Franc .
IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES, 2019, 12 (03) :370-383
[95]   NUGU: A Group-based Intervention App for Improving Self-Regulation of Limiting Smartphone Use [J].
Ko, Minsam ;
Yang, Subin ;
Lee, Joonwon ;
Heizmann, Christian ;
Jeong, Jinyoung ;
Lee, Uichin ;
Shin, Daehee ;
Yatani, Koji ;
Song, Junehwa ;
Chung, Kyong-Mee .
PROCEEDINGS OF THE 2015 ACM INTERNATIONAL CONFERENCE ON COMPUTER-SUPPORTED COOPERATIVE WORK AND SOCIAL COMPUTING (CSCW'15), 2015, :1235-1245
[96]  
Koshy Vinay, 2021, CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, DOI 10.1145/3411764.3445598
[97]   Beyond logistic regression: Structural equations modelling for binary variables and its application to investigating unobserved confounders [J].
Kupek E. .
BMC Medical Research Methodology, 6 (1)
[98]  
LaMorte W.W., 2019, TRANSTHEORETICAL MOD
[99]   Development of tailored nutrition information messages based on the transtheoretical model for smartphone application of an obesity prevention and management program for elementary-school students [J].
Lee, Ji Eun ;
Lee, Da Eun ;
Kim, Kirang ;
Shim, Jae Eun ;
Sung, Eunju ;
Kang, Jae-Neon ;
Hwang, Ji-Yun .
NUTRITION RESEARCH AND PRACTICE, 2017, 11 (03) :247-256
[100]   Can a 'rewards-for-exercise app' increase physical activity, subjective well-being and sleep quality? An open-label single-arm trial among university staff with low to moderate physical activity levels [J].
Lemola, Sakari ;
Gkiouleka, Anna ;
Read, Brieze ;
Realo, Anu ;
Walasek, Lukasz ;
Tang, Nicole K. Y. ;
Elliott, Mark T. .
BMC PUBLIC HEALTH, 2021, 21 (01)