Human Centered Analysis of Digital Technology and Community Social Well Being

Fitra Putri Oganda; Pratibha Pandey; Syifa Wulandari; Sipah Audiah; Yasir Mustafa Kareem

Authors

Fitra Putri Oganda Casindo Group https://orcid.org/0000-0002-4590-0657
Pratibha Pandey Chandigarh University https://orcid.org/0000-0001-7029-8517
Syifa Wulandari State University of Jakarta
Sipah Audiah Casindo Group https://orcid.org/0009-0008-3024-474X
Yasir Mustafa Kareem Eesp Incorporation https://orcid.org/0009-0008-5096-2300

Keywords:

Digital Technology, Social Well-Being, Local Communities, Human-Centered, Community

Abstract

The increasing integration of gamification into mobile applications has transformed digital platforms into interactive environments that shape users emotional experiences. Within the framework of positive computing, gamified mobile applications are increasingly designed not only to enhance engagement but also to foster psychological well-being. This study investigates how gamified mobile applications function as drivers of user happiness in positive computing environments. A quantitative research design was employed using survey data collected from 120 active users of gamified mobile applications across diverse demographic backgrounds. Key gamification elements rewards, challenges, feedback mechanisms, and social interaction were modeled as predictive constructs of user happiness. Happiness levels were measured using a validated well-being scale, and the proposed relationships were examined through structural equation modeling (SEM). The findings indicate that gamified mobile applications exert a significant positive influence on user happiness, with reward systems and social interaction emerging as the strongest contributors. These results suggest that gamification operates as an affective design mechanism that enhances enjoyment, intrinsic motivation, and perceived social connectedness. The study contributes to the positive computing literature by providing empirical evidence that thoughtfully designed gamified systems can promote emotional well-being beyond functional performance outcomes. Practically, the findings offer strategic guidance for developers and policymakers seeking to design mobile applications that prioritize sustainable happiness and human-centered digital innovation.

References

[1] J. Shen, L. Iandoli, and M. Aguirre-Urreta, “Human-centered design for individual and social well-being: editorial preface,” AIS Transactions on Human-Computer Interaction, vol. 14, no. 4, pp. 446–460, 2022.

[2] S. Vial, S. Boudhraa, and M. Dumont, “Human-centered design approaches in digital mental health interventions: exploratory mapping review,” JMIR mental health, vol. 9, no. 6, p. e35591, 2022.

[3] S. Neumann, J. Bleja, T. Kruger, and U. Grossmann, “Participating citizens= smart citizens? applying the human-centered design approach on a digital care platform,” Digital Government: Research and Practice, vol. 4, no. 3, pp. 1–13, 2023.

[4] F. L. Cooke, M. Dickmann, and E. Parry, “Building sustainable societies through human-centred human resource management: Emerging issues and research opportunities,” pp. 1–15, 2022.

[5] S. Wijono, U. Rahardja, H. D. Purnomo, N. Lutfiani, and N. A. Yusuf, “Leveraging machine learning models to enhance startup collaboration and drive technopreneurship,” Aptisi Transactions on Technopreneurship (ATT), vol. 6, no. 3, pp. 432–442, 2024.

[6] N. Rane, “Chatgpt and similar generative artificial intelligence (ai) for smart industry: role, challenges and opportunities for industry 4.0, industry 5.0 and society 5.0,” Challenges and Opportunities for Industry, vol. 4, 2023.

[7] M. Del Giudice, V. Scuotto, B. Orlando, and M. Mustilli, “Toward the human–centered approach. a revised model of individual acceptance of ai,” Human Resource Management Review, vol. 33, no. 1, p. 100856, 2023.

[8] M. C. Tavares, G. Azevedo, and R. P. Marques, “The challenges and opportunities of era 5.0 for a more humanistic and sustainable society a literature review,” Societies, vol. 12, no. 6, p. 149, 2022.

[9] A. Thieme, M. Hanratty, M. Lyons, J. Palacios, R. F. Marques, C. Morrison, and G. Doherty, “Designing human-centered ai for mental health: Developing clinically relevant applications for online cbt treatment,” ACM Transactions on Computer-Human Interaction, vol. 30, no. 2, pp. 1–50, 2023.

[10] Y. Durachman, A. S. Bein, E. P. Harahap, T. Ramadhan, and F. P. Oganda, “Technological and islamic environments: Selection from literature review resources,” International Journal of Cyber and IT Service Management (IJCITSM), vol. 1, no. 1, pp. 37–47, 2021.

[11] L. Monteiro-Krebs, B. Zaman, D. Geerts, and S. E. Caregnato, “Every word you say: algorithmic mediation and implications of data-driven scholarly communication,” AI & SOCIETY, vol. 38, no. 2, pp. 1003–1012, 2023.

[12] B. Zarouali, S. C. Boerman, H. A. Voorveld, and G. van Noort, “The algorithmic persuasion framework in online communication: conceptualization and a future research agenda,” Internet Research, vol. 32, no. 4, pp. 1076–1096, 2022.

[13] M. B. McVee, K. N. Silvestri, K. A. Schucker, and A. Cun, “Positioning theory, embodiment, and the moral orders of objects in social dynamics: How positioning theory has neglected the body and artifactual knowing,” Journal for the Theory of Social Behaviour, vol. 51, no. 2, pp. 192–214, 2021.

[14] J. G. Caron, A. J. Benson, R. Steins, L. McKenzie, and M. W. Bruner, “The social dynamics involved in recovery and return to sport following a sport-related concussion: A study of three athlete-teammatecoach triads,” Psychology of Sport and Exercise, vol. 52, p. 101824, 2021.

[15] M. Mishra, S. Desul, C. A. G. Santos, S. K. Mishra, A. H. M. Kamal, S. Goswami, A. M. Kalumba, R. Biswal, R. M. Da Silva, C. A. C. Dos Santos et al., “A bibliometric analysis of sustainable development goals (sdgs): a review of progress, challenges, and opportunities,” Environment, development and sustainability, vol. 26, no. 5, pp. 11 101–11 143, 2024.

[16] T. S. Goh, D. Jonas, B. Tjahjono, V. Agarwal, and M. Abbas, “Impact of ai on air quality monitoring systems: A structural equation modeling approach using utaut,” Sundara Advanced Research on Artificial Intelligence, vol. 1, no. 1, pp. 9–19, 2025.

[17] N. McNamara, C. Stevenson, S. Costa, M. Bowe, J. Wakefield, B. Kellezi, I. Wilson, M. Halder, and E. Mair, “Community identification, social support, and loneliness: The benefits of social identification for personal well-being,” British Journal of Social Psychology, vol. 60, no. 4, pp. 1379–1402, 2021.

[18] N. A. Vyalykh, O. A. Nor-Arevyan, O. Y. Posukhova, O. S. Mosienko, and A. I. Cherevkova, “Methodological matrix for sociological study of social well-being of the professional medical community during a complex epidemiological situation,” Revista Turismo Estudos e Praticas-RTEP/GEPLAT/UERN ´ , no. 01, pp. 1–12, 2021.

[19] A. Ruangkanjanases, A. Khan, O. Sivarak, U. Rahardja, and S.-C. Chen, “Modeling the consumers’ flow experience in e-commerce: The integration of ecm and tam with the antecedents of flow experience,” Sage Open, vol. 14, no. 2, p. 21582440241258595, 2024.

[20] H. Yu, I. Zahidi, C. M. Fai, D. Liang, and D. Ø. Madsen, “Elevating community well-being in mining areas: the proposal of the mining area sustainability index (masi),” Environmental Sciences Europe, vol. 36, no. 1, pp. 1–12, 2024.

[21] Q. Fu and X. Zhang, “Promoting community resilience through disaster education: Review of community based interventions with a focus on teacher resilience and well-being,” PLoS one, vol. 19, no. 1, p. e0296393, 2024.

[22] Q.-C. Wang, X. Liu, I. Y. Jian, E.-J. Zhang, Y.-T. Hou, K. W. M. Siu, and Y.-B. Li, “Community resilience in city emergency: Exploring the roles of environmental perception, social justice and community attachment in subjective well-being of vulnerable residents,” Sustainable Cities and Society, vol. 97, p. 104745, 2023.

[23] Building Digital UK & Department of Digital, Culture, Media and Sport, “Beyond the digital divide: Realising wellbeing through a digital needs hierarchy,” Building Digital UK/Department of Digital, Culture, Media and Sport, United Kingdom, Tech. Rep., Nov 2024. [Online]. Available: https://www.gov.uk/government/publications/beyond-the-digital-divide/beyond-the-digital-divide-realising-wellbeing-through-a-digital-needs-hierarchy

[24] J. L. Stienmetz, A. Liu, and I. P. Tussyadiah, “Impact of perceived peer to peer accommodation development on community residents’ well-being,” Current Issues in Tourism, vol. 25, no. 21, pp. 3481–3499, 2022.

[25] Z. Baktir and F. Watson, “Trust-driven entrepreneurship for community well-being of refugees and their local hosts,” Journal of Macromarketing, vol. 41, no. 2, pp. 251–266, 2021.

[26] G. Nicola and R. Setiawan, “Creating competitive advantage through digital innovation: Insights from startupreneurs in e-commerce,” Startupreneur Business Digital (SABDA Journal), vol. 3, no. 2, pp. 131–140, 2024.

[27] J. Munson and J. Scholnick, “Wealth and well-being in an ancient maya community: A framework for studying the quality of life in past societies,” Journal of Archaeological Method and Theory, vol. 29, no. 1, pp. 1–30, 2022.

[28] L. Chen and Z. Zhang, “Community participation and subjective well-being of older adults: The roles of sense of community and neuroticism,” International journal of environmental research and public health, vol. 19, no. 6, p. 3261, 2022.

[29] D. Hossan, Z. Dato’Mansor, and N. S. Jaharuddin, “Research population and sampling in quantitative study,” International Journal of Business and Technopreneurship (IJBT), vol. 13, no. 3, pp. 209–222, 2023.

[30] P. A. Sunarya, U. Rahardja, S. C. Chen, Y.-M. Lic, and M. Hardini, “Deciphering digital social dynamics: A comparative study of logistic regression and random forest in predicting e-commerce customer behavior,” Journal of Applied Data Sciences, vol. 5, no. 1, pp. 100–113, 2024.

[31] M. R. Aulia, Z. Lubis, I. Effendi et al., “Leveraging quality management and partnership programs for technopreneurial success: Exploring their impact on msme performance,” Aptisi Transactions on Technopreneurship (ATT), vol. 5, no. 2, pp. 157–168, 2023.

[32] S. Elkefi, D. Trapani, and S. Ryan, “The role of digital health in supporting cancer patients’ mental health and psychological well-being for a better quality of life: A systematic literature review,” International Journal of Medical Informatics, vol. 176, p. 105065, 2023.

[33] U. Rahardja and Q. Aini, “Evaluating the effectiveness of digital marketing campaigns through conversion rates and engagement levels using anova and chi-square tests,” Journal of Digital Market and Digital Currency, vol. 2, no. 1, pp. 26–45, 2025.

[34] S. A. Mazhar, R. Anjum, A. I. Anwar, and A. A. Khan, “Methods of data collection: A fundamental tool of research,” Journal of Integrated Community Health, vol. 10, no. 1, pp. 6–10, 2021.

[35] R. Widayanti, M. H. R. Chakim, C. Lukita, U. Rahardja, and N. Lutfiani, “Improving recommender systems using hybrid techniques of collaborative filtering and content-based filtering,” Journal of Applied Data Sciences, vol. 4, no. 3, pp. 289–302, 2023.

[36] A. Pambudi, N. Lutfiani, M. Hardini, A. R. A. Zahra, and U. Rahardja, “The digital revolution of startup matchmaking: Ai and computer science synergies,” in 2023 Eighth International Conference on Informatics and Computing (ICIC). IEEE, 2023, pp. 1–6.

[37] M. Nii Laryeafio and O. C. Ogbewe, “Ethical consideration dilemma: systematic review of ethics in qualitative data collection through interviews,” Journal of Ethics in Entrepreneurship and Technology, vol. 3, no. 2, pp. 94–110, 2023.

[38] M. Merino, J. F. Tornero-Aguilera, A. Rubio-Zarapuz, C. V. Villanueva-Tobaldo, A. Mart´ın-Rodr´ıguez, and V. J. Clemente-Suarez, “Body perceptions and psychological well-being: a review of the impact of ´ social media and physical measurements on self-esteem and mental health with a focus on body image satisfaction and its relationship with cultural and gender factors,” in Healthcare, vol. 12, no. 14. MDPI, 2024, p. 1396.

[39] J. Siswanto, V. A. Goeltom, I. N. Hikam, E. A. Lisangan, and A. Fitriani, “Market trend analysis and databased decision making in increasing business competitiveness,” Sundara Advanced Research on Artificial Intelligence, vol. 1, no. 1, pp. 1–8, 2025.

[40] N. Ahmad, F. A. Alias, and N. A. Razak, “Understanding population and sample in research: Key concepts for valid conclusions,” Sigcs: E-Learning, vol. 6, pp. 19–24, 2023.

[41] K. Bozkus, “Organizational culture change and technology: Navigating the digital transformation,” in Organizational culture-Cultural change and technology. IntechOpen, 2023.

[42] H. O. Khogali and S. Mekid, “The blended future of automation and ai: Examining some long-term societal and ethical impact features,” Technology in Society, vol. 73, p. 102232, 2023.

[43] M. F. Almufareh, S. Kausar, M. Humayun, and S. Tehsin, “A conceptual model for inclusive technology: advancing disability inclusion through artificial intelligence,” Journal of Disability Research, vol. 3, no. 1, p. 20230060, 2024.

[44] B. Alojaiman, “Technological modernizations in the industry 5.0 era: A descriptive analysis and future research directions,” Processes, vol. 11, no. 5, p. 1318, 2023.

[45] L. Schelenz and M. Pawelec, “Information and communication technologies for development (ict4d) critique,” Information Technology for Development, vol. 28, no. 1, pp. 165–188, 2022.

[46] K. Aruleba and N. Jere, “Exploring digital transforming challenges in rural areas of south africa through a systematic review of empirical studies,” Scientific African, vol. 16, p. e01190, 2022.