Positive computing

Positive computing is a technological design perspective that embraces psychological well-being and ethical practice, aiming at building a digital environment to support happier and healthier users. Positive computing develops approaches that incorporates psychology, education, neuroscience, and HCI with technological development, bridging technology with mental health.

Background

The design of a tool impacts the people who use it. Small design implications of technologies can have their effects amplified when used by many people. Technology researchers typically focus primarily on technical aspects, paying less attention to the ethical impact and ethical considerations of their products. However, researchers from other fields such as psychology and philosophy studied these matters extensively and provided a wealth of methodologies to assess users' well-being, with thousands of quality-of-life assessment methods and validating studies.

Positive computing draws many ideas from positive psychology, a domain of psychology that focuses on societal well-being and improving quality of life.

Well-being in technology and technology research

The recognition of the impact of technology and inventions on people's lives has moved technology professionals to rethink the technology that people use and to seek a realignment of companies' goals with the social good.

Technologies can be loosely classified into four groups according to their influence on the psychological aspects:

What is positive

In Calvo's and Peter's seminal book on positive computing, they list the following as positive aspects to which we should aim when designing technologies: positive emotions, motivation, engagement, flow, self-awareness, self-compassion, mindfulness, empathy, compassion, and altruism. An encompassing term for general human welfare and happiness is eudaimonia which is extensively studied in positive psychology and which is inquired along different dimensions such as self-discovery, the sense of purpose and meaning in life, the involvement in activities, the investment in the pursuit of excellence, the self-perception of one's own potentials.

Autonomy, competence and relatedness

There are three basic psychological needs according to Self-determination theory (SDT): autonomy, competence, and relatedness, which can be briefly described as the feeling of psychological liberty and self-motivation, the feeling of having control and mastery, and the feeling of connection to others.

Solutions

Design to address the basic psychological needs

The three previously mentioned basic psychological needs are measurable and well-defined characteristics that make them excellent as design targets.

To support autonomy, the design process needs to provide control over multiple options, provide meaningful rationales behind choices, enable the customization of the experience, and avoid controlling language.

Competence is also well-studied for game design, and the three main design factors supporting it are the appropriateness of the level of presented challenges, the presence of positive feedback, and the opportunities to learn and master the tasks at hand.

Relatedness-supportive environments need to be designed to provide meaningful and responsive interactions with others, respect human emotions, avoid disrupting social relationships, and provide opportunities for social connections.

Responsible design process

Infographic describing the responsible design process in its main components: discover, defined, develop, deliver, evaluate

Responsible design, not to be confused with responsive design, comes from the integration of ethical analysis with well-being–supportive design into engineering practice. In particular, it features the double diamond design process model adding a post-launch evaluation phase. The responsible design process consists then of five stages:

Positive Computing in AI

Malo Bourgon, COO of MIRI, stated that research in artificial intelligence should consider best practices from the computer security community when testing their systems for safety and security before they are released for wide adoption. Government legislation, business practices, and stronger education of AI and its consequences to society are also proposed. These solutions implement the principles of positive computing into AI, making sure that it serves humanity in a positive way.[how?]

Scientific venues

See also

References

Notes

  1. ↑ Calvo, A. Rafael; Peters, Dorian. Introduction to Positive Computing: Technology that Fosters Wellbeing. Conference on Human Factors in Computing Systems. doi:10.1145/2702613.2706674.
  2. ↑ "Positive Computing". Archived from the original on 28 June 2021. Retrieved 15 June 2021.
  3. 1 2 3 John Torous (19 September 2016). "Positive Computing and Designing for Mental Health". Psychiatric Times (Podcast). MJH Life Sciences. Retrieved 15 June 2021.
  4. 1 2 Jasanoff, Sheila (30 August 2016). The Ethics of Invention: Technology and the Human Future (First ed.). New York, NY. p. W. W. Norton Company. ISBN 978-0-393-07899-2. Archived from the original on 18 June 2021. Retrieved 17 June 2021.{{cite book}}: CS1 maint: location missing publisher (link)
  5. ↑ Wolpe, Paul Root (2006). "Reasons Scientists Avoid Thinking about Ethics". Cell. 125 (6): 1023–1025. doi:10.1016/j.cell.2006.06.001. ISSN 0092-8674. PMID 16777590. S2CID 33170314.
  6. ↑ Pequeno, Nila Patrícia Freire; Cabral, Natália Louise de Araújo; Marchioni, Dirce Maria; Lima, Severina Carla Vieira Cunha; Lyra, Clélia de Oliveira (2020). "Quality of life assessment instruments for adults: a systematic review of population-based studies". Health and Quality of Life Outcomes. 18 (1): 208. doi:10.1186/s12955-020-01347-7. ISSN 1477-7525. PMC 7329518. PMID 32605649.
  7. ↑ "Definition, Measures, Applications, & Facts". Encyclopedia Britannica. Archived from the original on 2021-01-29. Retrieved 2021-03-06.
  8. ↑ Calvo & Peters 2014.
  9. ↑ Nyabul, P. O.; Situma, J. W. (2014). "The Meaning of Eudemonia in Aristotle's Ethics". International Journal. 2 (3): 65–74.
  10. ↑ Kjell, Oscar N. E. (2011). "Sustainable Well-Being: A Potential Synergy between Sustainability and Well-Being Research". Review of General Psychology. 15 (3): 255–266. doi:10.1037/a0024603. ISSN 1089-2680. S2CID 54685023. Archived from the original on 2023-08-13. Retrieved 2023-08-13.
  11. 1 2 3 4 Peters, Dorian (2020-08-06). "3 Keys to meaningful engagement & support for wellbeing in tech". Ethics of Digital Experience - Medium. Archived from the original on 2021-06-24. Retrieved 18 June 2021.
  12. 1 2 Peng, Wei; Lin, Jih-Hsuan; Pfeiffer, Karin A.; Winn, Brian (2012). "Need Satisfaction Supportive Game Features as Motivational Determinants: An Experimental Study of a Self-Determination Theory Guided Exergame". Media Psychology. 15 (2): 175–196. doi:10.1080/15213269.2012.673850. ISSN 1521-3269. S2CID 14534575.
  13. ↑ Ryan, Richard M.; Rigby, C. Scott; Przybylski, Andrew (2006). "The Motivational Pull of Video Games: A Self-Determination Theory Approach". Motivation and Emotion. 30 (4): 344–360. doi:10.1007/s11031-006-9051-8. ISSN 0146-7239. S2CID 53574707.
  14. ↑ Burke, Moira; Marlow, Cameron; Lento, Thomas (2010). "Social network activity and social well-being". Proceedings of the 28th international conference on Human factors in computing systems - CHI '10. p. 1909. doi:10.1145/1753326.1753613. ISBN 9781605589299. S2CID 207178564.
  15. ↑ "Responsible Design Process". Positive Computing. Archived from the original on 24 June 2021. Retrieved 18 June 2021.
  16. ↑ Peters, Dorian; Vold, Karina; Robinson, Diana; Calvo, Rafael A. (2020). "Responsible AI—Two Frameworks for Ethical Design Practice". IEEE Transactions on Technology and Society. 1 (1): 34–47. doi:10.1109/TTS.2020.2974991. hdl:10044/1/77602. ISSN 2637-6415. S2CID 212704361.
  17. ↑ "IEEE SA - Ethically Aligned Design, Version 1, Translations and Reports". IEEE. Version 1, Overview. Archived from the original on 24 June 2021. Retrieved 18 June 2021.{{cite web}}: CS1 maint: location (link)
  18. ↑ Kaplan, Andreas; Haenlein, Michael (January 2020). "Rulers of the world, unite! The challenges and opportunities of artificial intelligence". Business Horizons. 63 (1): 37–50. doi:10.1016/j.bushor.2019.09.003.

Bibliography

Further reading