[1] A. S. Nyamawe and E. C. Mbosso, “Road Safety: Adoption of ICT for Tracking
Vehicles' Over-speeding in Tanzania,” Int. J. Comput. Appl., vol. 96, no. 16,
pp. 12–15, 2014, doi: 10.5120/16877-6876.
[2] B. Agyemang, Abledu G. K., and R. Semevoh, “Regression Analysis of Road
Traffic Accidents and Population Growth in Ghana. International Journal of
Business and Social Research (IJBSR), 3(10).,” no. November 2013, 2013, doi:
10.18533/ijbsr.v3i10.290.
[3] M. Javadi, S. M. Hashemi, and P. Parvizi, “Traffic violation detection system based
on RFID,” Int. J. Mech. Aerospace, Ind. Mechatron. Manuf. Eng., vol. 2, no. 7, pp.
290–293, 2013.
[4] S. Salahat, A. Al-Janahi, L. Weruaga, and A. Bentiba, “Speed Estimation from
Smart Phone In-Motion Camera for the Next Generation of Self-Driven Intelligent
Vehicles,” IEEE Veh. Technol. Conf., vol. 2017-June, no. June, 2017, doi:
10.1109/VTCSpring.2017.8108281.
[5] A. Morimoto, A. Wang, and N. Kitano, “A conceptual framework for road traffic
safety considering differences in traffic culture through international comparison,”
IATSS Res., vol. 46, no. 1, pp. 3–13, 2022, doi: 10.1016/j.iatssr.2021.11.012.
[6] H. Malik and A. Rakotonirainy, “The need of intelligent driver training systems
for road safety,” Proc. 19th Int. Conf. Syst. Eng. ICSEng 2008, no. September, pp.
183–188, 2008, doi: 10.1109/ICSEng.2008.87.
[7] J. Hamari, J. Koivisto, and T. Pakkanen, “Do persuasive technologies persuade?
- A review of empirical studies,” Lect. Notes Comput. Sci. (including Subser. Lect.
Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 8462 LNCS, pp. 118–136, 2014,
doi: 10.1007/978-3-319-07127-5_11.
[8] D. Lockton, “Persuasive Technology and Digital Design for Behaviour Change,”
SSRN Electron. J., no. August 2012, 2012, doi: 10.2139/ssrn.2125957.
[9] I. Wiafe, K. Nakata, S. Moran, and S. R. Gulliver, “Considering user attitude and
behaviour in persuasive systems design: THE 3D-RAB model,” 19th Eur. Conf. Inf.
Syst. ECIS 2011, no. January, 2011.
[10] H. Dhiman, C. Wächter, M. Fellmann, and C. Röcker, “Intelligent Assistants:
Conceptual Dimensions, Contextual Model, and Design Trends,” Bus. Inf. Syst.
Eng., vol. 64, no. 5, pp. 645–665, 2022, doi: 10.1007/s12599-022-00743-1.
[11] P. van Gent, H. Farah, N. van Nes, and B. van Arem, “A conceptual model for
persuasive in-vehicle technology to influence tactical level driver behaviour,”
Transp. Res. Part F Traffic Psychol. Behav., vol. 60, no. January, pp. 202–216, 2019,
doi: 10.1016/j.trf.2018.10.004.
[12] P. Ruer, C. Gouin-Vallerand, and E. F. Vallières, “Persuasive strategies to improve
driving behaviour of elderly drivers by a feedback approach,” Lect. Notes Comput.
Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 9638,
pp. 110–121, 2016, doi: 10.1007/978-3-319-31510-2_10.
[13] I. Wiafe, J. D. Abdulai, F. Katsriku, J. A. Kumi, F. N. Koranteng, and P. Boakye-
Sekyerehene, “Controlling driver over-speeding with a persuasive and intelligent
road marking system,” Adv. Transp. Stud., vol. 50, pp. 19–30, 2020, doi:
10.4399/97888255317322.
[14] M. P. Pratt, S. R. Geedipally, B. Dadashova, L.Wu, and M. Shirazi, “Familiar versus
Unfamiliar Drivers on Curves: Naturalistic Data Study,” Transp. Res. Rec., vol.
2673, no. 6, pp. 225–235, 2019, doi: 10.1177/0361198119846481.
[15] H. Oagaz, B. Schoun, and M. H. Choi, “Performance Improvement and Skill Transfer
in Table Tennis Through Training in Virtual Reality,” IEEE Trans. Vis. Comput.
Graph., vol. 28, no. 12, pp. 4332–4343, 2022, doi: 10.1109/TVCG.2021.3086403.
[16] H. Oinas-Kukkonen and M. Harjumaa, “Persuasive systems design: Key issues,
process model, and system features,” Commun. Assoc. Inf. Syst., vol. 24, no. 1, pp.
485–500, 2009, doi: 10.17705/1cais.02428.
[17] A. O. Ekpezu, H. Oinas-Kukkonen, and I. Wiafe, “Investigating the Determinants
of Compliance Intention in Behavior Change Support Systems,” in AMCIS 2023
Proceedings, 2023, vol. 17, pp. 1–10, doi: https://aisel.aisnet.org/amcis2023/sig_
adit/sig_adit/17.
[18] M. M. Alhammad, I. Wiafe, and S. R. Gulliver, “Exploring the Impact of Persuasive
Features on Customer Satisfaction Levels of E-Commerce Websites Based on the
Kano Model,” in PERSUASIVE 2021. Lecture Notes in Computer Science, 2021, vol.
12684, pp. 11–13, doi: 10.4037/aacnacc2022378.
[19] I. Wiafe and K. Nakata, “A semiotic analysis of persuasive technology: An application
to obesity management,” in ICISO 2010 - Proceedings of the 12th International
Conference on Informatics and Semiotics in Organisations, IFIP WG8.1 Working
Conference, 2010, no. January, pp. 157–164, doi: 10.5220/0003269201570164.
[20] I. Wiafe, F. N. Koranteng, F. A. Kastriku, and G. O. Gyamera, “Assessing the
impact of persuasive features on user’s intention to continuous use: the case of
academic social networking sites,” Behav. Inf. Technol., vol. 41, no. 4, pp. 712–730,
2022, doi: 10.1080/0144929X.2020.1832146.
[21] N. Arora, G. Malik, and D. Chawla, “Factors Affecting Consumer Adoption of
Mobile Apps in NCR: A Qualitative Study,” Glob. Bus. Rev., vol. 21, no. 1, pp.
176–196, 2020, doi: 10.1177/0972150919876748.
[22] P. Karppinen et al., “Persuasive user experiences of a health Behavior Change
Support System: A 12-month study for prevention of metabolic syndrome,” Int. J.
Med. Inform., vol. 96, pp. 51–61, 2016, doi: 10.1016/j.ijmedinf.2016.02.005.
[23] J. G. Gonzalez, D. Casado-Mansilla, and D. López-de-Ipiña, “Analysis of driver’s
reaction behavior using a persuasion-based IT artefact,” Sustain., vol. 12, no. 17,
pp. 1–16, 2020, doi: 10.3390/SU12176857.
[24] S. Helvaci, A. Senova, G. Kar, and S. Gören, “Improving driver behavior using
gamification,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell.
Lect. Notes Bioinformatics), vol. 10995 LNCS, pp. 193–204, 2018, doi: 10.1007/978-
3-319-97163-6_16.
[25] C. Wang, M. A. Quddus, and S. G. Ison, “The effect of traffic and road characteristics
on road safety: A review and future research direction,” Saf. Sci., vol. 57, pp.
264–275, 2013, doi: 10.1016/j.ssci.2013.02.012.
[26] D. M. Shaffer, A. B. Maynor, and W. L. Roy, “The visual perception of lines
on the road,” Percept. Psychophys., vol. 70, no. 8, pp. 1571–1580, 2008, doi:
10.3758/PP.70.8.1571.
[27] M. Risteska, D. Kanaan, B. Donmez, and H. Y. Winnie Chen, “The effect of
driving demands on distraction engagement and glance behaviors: Results from
naturalistic data,” Saf. Sci., vol. 136, no. December 2020, p. 105123, 2021, doi:
10.1016/j.ssci.2020.105123.
[28] F. N. Koranteng, I. Wiafe, F. A. Katsriku, and R. Apau, “Understanding trust
on social networking sites among tertiary students: An empirical study in
Ghana,” Appl. Comput. Informatics, vol. 19, no. 3–4, pp. 209–225, 2023, doi:
10.1016/j.aci.2019.07.003.
[29] R. B. Cialdini and N. J. Goldstein, “Social influence: Compliance and conformity,”
Annu. Rev. Psychol., vol. 55, no. February 2004, pp. 591–621, 2004, doi:
10.1146/annurev.psych.55.090902.142015.
[30] I. Park, S. Lee, and D. Lee, “Virtual Audience Providing AI-Generated Emotional
Reactions to Enhance Self-Disclosure in Self-Introduction,” Int. J. Hum. Comput.
Interact., vol. 39, no. 13, pp. 2702–2713, 2022, doi: 10.1080/10447318.2022.2085338.
[31] N. Shevchuk, K. Degirmenci, and H. Oinas-Kukkonen, “Adoption of gamified
persuasive systems to encourage sustainable behaviors: Interplay between perceived
persuasiveness and cognitive absorption,” 40th Int. Conf. Inf. Syst. ICIS
2019, pp. 1–17, 2019.
[32] S. Deterding, D. Dixon, R. Khaled, and L. Nacke, “From game design elements
to gamefulness: Defining ‘gamification,”’ Proc. 15th Int. Acad. MindTrek Conf.
Envisioning Futur. Media Environ. MindTrek 2011, no. September, pp. 9–15, 2011,
doi: 10.1145/2181037.2181040.
[33] S. Khashe, B. Becerik-Gerber, G. Lucas, and J. Gratch, “Persuasive effects of
immersion in virtual environments for measuring pro-environmental behaviors,”
ISARC 2018 - 35th Int. Symp. Autom. Robot. Constr. Int. AEC/FM Hackathon Futur.
Build. Things, no. Isarc, 2018, doi: 10.22260/isarc2018/0167.
[34] J. Qian, D. J. McDonough, and Z. Gao, “The effectiveness of virtual reality exercise
on individual’s physiological, psychological and rehabilitative outcomes:
A systematic review,” Int. J. Environ. Res. Public Health, vol. 17, no. 11, pp. 1–17,
2020, doi: 10.3390/ijerph17114133.
[35] M. A. Buhler and A. Lamontagne, “Circumvention of Pedestrians while Walking
in Virtual and Physical Environments,” IEEE Trans. Neural Syst. Rehabil. Eng., vol.
26, no. 9, pp. 1813–1822, 2018, doi: 10.1109/TNSRE.2018.2865907.
[36] D. J. Harris, J. M. Bird, P. A. Smart, M. R. Wilson, and S. J. Vine, “A Framework
for the Testing and Validation of Simulated Environments in Experimentation
and Training,” Front. Psychol., vol. 11, no. March, pp. 1–10, 2020, doi: 10.3389/fpsyg.
2020.00605.
[37] J. H. D. Menck, H. Lechte, T. B. Lembcke, A. B. Brendel, and L. M. Kolbe, “Towards
Design Principles for Experimental Simulations in Virtual Reality - Learning
from Driving Simulators,” Proc. Annu. Hawaii Int. Conf. Syst. Sci., vol. 2023-Janua,
pp. 1303–1312, 2023.
[38] P. Fischer et al., “The racing-game effect: Why do video racing games increase
risk-taking inclinations?,” Personal. Soc. Psychol. Bull., vol. 35, no. 10, pp. 1395–
1409, 2009, doi: 10.1177/0146167209339628.
[39] I. Wiafe, K. Nakata, and S. Gulliver, “Categorizing users in behavior change
support systems based on cognitive dissonance,” Pers. ubiquitous Comput., vol.
18, no. 7, pp. 1677–1687, 2014.
[40] C. Horvath, I. Lewis, and B. Watson, “The beliefs which motivate young male
and female drivers to speed: A comparison of low and high intenders,” Accid.
Anal. Prev., vol. 45, pp. 334–341, 2012, doi: 10.1016/j.aap.2011.07.023.
[41] I. Wiafe, M. M. Alhammad, K. Nakata, and S. R. Gulliver, “Analyzing the persuasion
context of the persuasive systems design model with the 3D-RAB model,”
Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes
Bioinformatics), vol. 7284 LNCS, no. June, pp. 193–202, 2012, doi: 10.1007/978-3-
642-31037-9_17.
[42] Y. W. Chow, W. Susilo, J. G. Phillips, J. Baek, and E. Vlahu-Gjorgievska, “Video
games and virtual reality as persuasive technologies for health care: An overview,”
J. Wirel. Mob. Networks, Ubiquitous Comput. Dependable Appl., vol. 8, no. 3, pp.
18–35, 2017, doi: 10.22667/JOWUA.2017.09.30.018.
[43] T. Rosenbloom, A. Perlman, and A. Shahar, “Women drivers’ behavior in wellknown
versus less familiar locations,” J. Safety Res., vol. 38, no. 3, pp. 283–288,
2007, doi: 10.1016/j.jsr.2006.10.008.