02. Literature Research - kevinc45/TimTam GitHub Wiki

2.1. Young Adult in the Problem Space

It was found that ninety-seven per cent of people aged 18-29, hence young adults, are smartphone users (Pew Research Center, 2024), and it becomes addictive, especially for this age group. There are risks of Nomophobia (Anshari et al., 2019)and FOMO (Hou et al., 2022), which occur when you cannot check your phone. Additionally, dopamine is released when these young adults finally check their phones and check their notifications. Something that Csikszentmihalyi (1990) "blamed" for creating the feeling of wanting to replicate those experiences as in flow theory. Something that we call an addiction these days. However, it is not without the factor that young adults adapt to the newest technology way much better than other age groups (Olson et al., 2011).

2.2. Road Usage and Mobile Phone

WHO (2023) reported that twenty-one per cent % of road fatalities involve pedestrians. Additionally, the National Roads and Motorists' Association (2019) revealed that thirty-six per cent of pedestrians are distracted by smartphones when crossing the road in the New South Wales area, resulting in 1,900 pedestrians being killed or hospitalised each year until 2018.

Crossing the road while using a smartphone feels like an automated task because our brains have been programmed to completely understand how walking works (Clark, 2015). People understand what would happen if they moved their right feet or their left feet, which is that they will move forward. This encourages young adults, the age group with the most productivity, to multitask (Chang, 2017; Hwang et al., 2014).

There is also a feeling of safety on a signalised crosswalk, which makes pedestrians rely, perhaps too much, on infrastructure (Aghabayk et al., 2021; Larue & Watling, 2022). When pedestrians see the light turn on and it tells them to cross, they will stop looking for incoming vehicles because they are programmed to think that the vehicles will stop and adore the traffic lights.

There is a contrast in what happens when pedestrians cross while using their smartphones. Gruden et al. (2021) found increased crossing time when using smartphones. In contrast, the research done by Dhoke and Choudhary (2023) said that pedestrians disobey road crossing rules because they want to arrive as soon as possible. The conflict of arriving quicker or later to cross adds a more dangerous aspect to crossing while using a smartphone. It gets even worse when the pedestrian plays on a mobile phone while walking, impairing cognitive function and making pedestrians miss what is happening around them (Haga et al., 2015).

2.3. Existing Solutions

There are two main categories of existing solutions: infrastructural and technological. Infrastructural solutions include installing eye-catching signs at intersections or crosswalks and using flashing lights to grab the attention of pedestrians distracted by their phones.


Figure 1. In-Ground Flashing Lights (Larue et al., 2021)


Figure 2. Signs on Crosswalks (Jain et al., 2015)

Technological solutions include GPS-based systems that detect when users use their phones at intersections or sensors attached to shoes that can sense the terrain and send warning notifications. These technologies usually must be integrated with smartphone apps to deliver these alerts. However, these solutions have some challenges: Infrastructural solutions can be expensive to implement, and technological solutions may raise ethical and privacy concerns.


Figure 3. “WalkSafe” Application (Wang et al., 2012)

For example, the "WalkSafe" app in Figure 3 automatically turns on the phone's camera when the user is talking on their phone at an intersection. The app vibrates or sends sound notifications to remind users if a car is detected. However, using cameras to detect surroundings can lead to privacy concerns. Additionally, the app only activates when users make calls, which might be less useful for young adults who use their phones for activities like social media, gaming, or listening to music. These apps may also be inaccurate and can drain the phone's battery, which might discourage users from using them.

References

  • Aghabayk, K., Esmailpour, J., Jafari, A., & Shiwakoti, N. (2021). Observational-based study to explore pedestrian crossing behaviors at signalized and unsignalized crosswalks. Accident Analysis & Prevention, 151, 105990. https://doi.org/10.1016/j.aap.2021.105990
  • Anshari, M., Alas, Y., & Sulaiman, E. (2019). Smartphone addictions and nomophobia among youth. Vulnerable Children and Youth Studies, 14(3), 242–247. https://doi.org/10.1080/17450128.2019.1614709
  • Chang, Y. (2017). Why Do Young People Multitask With Multiple Media? Explicating the Relationships Among Sensation Seeking, Needs, and Media Multitasking Behavior. Media Psychology, 20(4), 685–703. https://doi.org/10.1080/15213269.2016.1247717
  • Clark, D. J. (2015). Automaticity of walking: Functional significance, mechanisms, measurement and rehabilitation strategies. Frontiers in Human Neuroscience, 9. https://doi.org/10.3389/fnhum.2015.00246
  • Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience (1. HarperPerennial ed). HarperPerennial.
  • Dhoke, A., & Choudhary, P. (2023). Is there a relationship between time pressure and pedestrian non-compliance? A systematic review. Transportation Research Part F: Traffic Psychology and Behaviour, 93, 68–89. https://doi.org/10.1016/j.trf.2023.01.001
  • Gruden, C., Ištoka Otković, I., & Šraml, M. (2021). Safety Analysis of Young Pedestrian Behavior at Signalized Intersections: An Eye-Tracking Study. Sustainability, 13(8), 4419. https://doi.org/10.3390/su13084419
  • Haga, S., Sano, A., Sekine, Y., Sato, H., Yamaguchi, S., & Masuda, K. (2015). Effects of using a Smart Phone on Pedestrians’ Attention and Walking. Procedia Manufacturing, 3, 2574–2580. https://doi.org/10.1016/j.promfg.2015.07.564
  • Hou, M., Chen, S., & Cheng, J. (2022). The effect of risk perception and other psychological factors on mobile phone use while crossing the street among pedestrians. Accident Analysis & Prevention, 170, 106643. https://doi.org/10.1016/j.aap.2022.106643
  • Hwang, Y., Kim, H., & Jeong, S.-H. (2014). Why do media users multitask?: Motives for general, medium-specific, and content-specific types of multitasking. Computers in Human Behavior, 36, 542–548. https://doi.org/10.1016/j.chb.2014.04.040
  • Jain, S., Borgiattino, C., Ren, Y., Gruteser, M., Chen, Y., & Chiasserini, C. F. (2015). LookUp: Enabling Pedestrian Safety Services via Shoe Sensing. Proceedings of the 13th Annual International Conference on Mobile Systems, Applications, and Services, 257–271. https://doi.org/10.1145/2742647.2742669
  • Larue, G. S., & Watling, C. N. (2022). Prevalence and dynamics of distracted pedestrian behaviour at railway level crossings: Emerging issues. Accident Analysis & Prevention, 165, 106508. https://doi.org/10.1016/j.aap.2021.106508
  • Larue, G. S., Watling, C. N., Black, A., & Wood, J. M. (2021). Improving the safety of distracted pedestrians with in-ground flashing lights. A railway crossing field study. Journal of Safety Research, 77, 170–181. https://doi.org/10.1016/j.jsr.2021.02.014
  • National Roads and Motorists’ Association (NRMA). (2019). ‘Smombies’ on our streets: NRMA Pedestrian Report (Road Safety Series, pp. 1–11). National Roads and Motorists’ Association (NRMA). https://www.mynrma.com.au/media/press-releases/nrma-pedestrian-report
  • Olson, K. E., O’Brien, M. A., Rogers, W. A., & Charness, N. (2011). Diffusion of Technology: Frequency of use for Younger and Older Adults. Ageing International, 36(1), 123–145. https://doi.org/10.1007/s12126-010-9077-9
  • Pew Research Center. (2024, January 31). Mobile Fact Sheet. Pew Research Center. https://www.pewresearch.org/internet/fact-sheet/mobile/
  • Wang, T., Cardone, G., Corradi, A., Torresani, L., & Campbell, A. T. (2012). WalkSafe: A pedestrian safety app for mobile phone users who walk and talk while crossing roads. Proceedings of the Twelfth Workshop on Mobile Computing Systems & Applications - HotMobile ’12, 1. https://doi.org/10.1145/2162081.2162089
  • World Health Organization (WHO). (2023). Global status report on road safety 2023 (Global Report, p. 96). World Health Organization. https://www.who.int/publications/i/item/9789240086517
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