A Holistic and Multidimensional Methodology Proposal for a Persona with Total Visual Impairment Archetype on the Web
Abstract
:1. Introduction
2. Materials and Methodology
3. Theorical Context
3.1. Web Accessibility and People with Disabilities
People with Visual Impairment: Total Visual Impairment and the Web
- Age-related macular degeneration;
- Cataract;
- Corneal opacity;
- Diabetic retinopathy;
- Glaucoma;
- Refractive error; and
- Trachoma.
3.2. User Experience (UX) and Usability
3.3. Biometrics/Neuroscience
Galvanic Skin Response (GSR)
3.4. Persona Archetype and Disabled Persona
Disabled Persona
4. Research Methodology Proposal for a Persona with Total Visual Impairment
4.1. Research Phase
Instrumentation and Stimuli
- Sociodemographic data: gender, age, years of experience as accessibility consultant.
- Internet Usage data: frequency of use, devices, screen reader, operating system.
- Internet Experiences and Goals as internet user data: objectives on the web, needs on the web, satisfaction, achievement of goals, frustrations, relievers.
- Internet Expertise as accessibility expert data: levels of accessibility and conformance on the web, errors and barriers, facilitators, accessibility needs, improvements, WCAG: implementation, efficiency, and coverage.
- A sample expert questionnaire is included in Appendix A.
- Sociodemographic data: gender, age, city, visual impairment.
- Internet Usage data: years of internet usage, frequency of use, devices, screen reader, operating system, browser, level of expertise on the web, reasons, and motivations of usage.
- Internet Experiences and Goals data: objectives on the web, needs on the web, satisfaction, achievement of goals, obstacles, frustrations, relievers, accessibility, improvements.
- A sample user questionnaire is included in Appendix B.
- Manual expert audit;
- Automatic web accessibility tools (such as WAVE (available online: https://wave.webaim.org/ (accessed on 25 March 2024)), aXe Tools (available online: https://www.deque.com/axe/ (accessed on 25 March 2024)), Accessibility Insights (available online: https://accessibilityinsights.io/docs/web/overview/ (accessed on 25 March 2024)), etc.)
- Declaration of conformance with WCAG on the website.
- Task completion times;
- Task success (considering a task completed when it is successfully performed within the provided time frame);
- Perceived difficulty/efficiency;
- Perceived workload;
- Level of frustration;
- Satisfaction;
- Emotions, positive or negative affect;
- Comments and keywords relevant to the investigation.
4.2. Persona Design Phase
- Sociodemographic data: includes an inspiring photograph or image, a fictitious name, age, city, assistive technologies, occupation or background, and other personal relevant information.
- This information responds to a representative target user, which is invented but realistic, as mentioned in Section 3.4.
- Biography: includes a brief realistic description of the user.
- Preferences and Motivations: describes what drives the user’s decisions on the web.
- Goals and Needs: includes the specific user’s objectives and needs to be reach on the web and general goals or needs related to them.
- Frustration: identifies specific frustrations encountered by users when interacting with the web.
- Problems and Barriers: issues that the user faces on the web more frequently.
- Quote: provides a brief quote summarizing the essence of this persona.
- Social and technological habits: offers context to the persona’s social and technological behaviors.
5. Discussion and Conclusions
- More effective and accessible designs that consider the needs of all users regardless of their abilities and skills that improve their user experience and better meet their expectations.
- Provide designers, developers, and stakeholders with a tool that allows them to know and empathize with users to develop universally usable products and/or services from which all people benefit.
- Facilitate the development of websites that are not only accessible from a technical point of view but also providing and guaranteeing a satisfactory experience for people with visual impairments that allows them to achieve their objectives, complementing the current international accessibility standards (WCAG).
- Increase companies’ results thanks to the increase in the target audience and due to the increase in the efficiency of the design processes, reducing costs derived from support and redesigning and also reaching more legal compliance.
- And finally, reach more open and inclusive societies toward universal accessibility.
6. Limitations of the Study
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A. Expert Questionnaire
- 1.
- Gender
- 2.
- Age
- 3.
- Years of Experience as a Digital Accessibility ConsultantOptions:
- Less than 1 year
- 1–5 years
- More than 5 years
- Internet Usage:
- 4.
- How often do you use the internet daily?Options:
- Little or nothing
- Somewhat frequent
- Neither much nor little
- Frequent
- Very frequent (Likert scale from 1 to 5)
- 5.
- As an internet user, what devices do you typically use to browse websites?Select all that apply.Options:
- Personal Computer
- Mobile
- Tablet
- Others: Which ones?
- 6.
- As a user, what screen reader do you use in your daily life?Select all that apply.Options:
- Voice Over
- Jaws
- Others: Which ones?
- 7.
- As an internet user, what operating systems do you use?Select all that apply.Options:
- iOS
- Mac
- Windows
- Android
- Others: Which ones?
- 8.
- Rate from 0 to 10 how much digital or online technology contributes to improving your daily life.Internet Experiences:
- 9.
- As an internet user, why do you use the internet?
- 10.
- As an internet user, what do you use the internet for?
- 11.
- As an internet user, what are the websites you use most frequently?Select all that apply.Options:
- Work
- Shopping
- Administrative Procedures
- Information
- Leisure
- Others
- 12.
- As an internet user, from 0 to 10, how satisfying do you consider your online experiences to be?
- 13.
- As an internet user, from 0 to 10, how efficient do you consider your online experiences to be in achieving your goals?
- 14.
- As an internet user, indicate the elements that cause you the most frustration in your online experiences.
- 15.
- As an internet user, indicate what are the greatest satisfactions that you find on the web/in your online experiences?Digital accessibility expertise:
- 16.
- As a web accessibility expert, from 0 to 10, what do you consider the general level of accessibility of web pages for people with total visual impairment?
- 17.
- As a web accessibility expert, what are the barriers or obstacles (of accessibility) that you most frequently encounter on audited websites?
- 18.
- As a web accessibility expert, what are the facilitators that you most frequently encounter on audited websites?
- 19.
- As a web accessibility expert, what do you consider to be the biggest problem preventing websites from meeting the needs of users with total visual impairment?
- 20.
- As a web accessibility expert, how do you think websites could be improved to be more accessible?
- 21.
- As a web accessibility expert, what do you consider the level of suitability of screen readers for websites and the needs of people with total visual impairment?
- 22.
- As a web accessibility expert, from 0 to 10, what do you consider the coverage level of WCAG 2.1 regarding the accessibility needs of people with total visual impairment?Option: If the expert answered 7 or less to this question:
- 23.
- As a web accessibility expert, what do you consider to be the biggest problem preventing WCAG 2.1 from meeting the needs of people with total visual impairment?
- 24.
- As a web accessibility expert, how do you think WCAG 2.1 could be improved to better adapt/cover more accessibility needs?
- 25.
- As a web accessibility expert, what do you consider necessary to provide a better online experience for users with total visual disabilities?
- Thank you very much, your participation contributes to building a better world for all.
Appendix B. Users Questionnaire
- Questions:
- Sociodemographic:
- 1.
- Age
- 2.
- Gender
- 3.
- City of residence
- 4.
- Are you legally blind?
- Yes
- No
Internet Usage and Habits: - 5.
- Are you a user of websites or web pages on the internet?
- Yes
- No
Options: If the user answered Yes: - 6.
- How long have you been using the internet?Options:
- Less than 1 year
- Between 1 year–5 years
- More than 5 years
- 7.
- How often do you use the internet daily?Options:
- None
- Little
- Some
- Quite a bit
- A lot
- 8.
- What devices do you usually use to browse the internet?Select all that apply.Options:
- Mobile
- PC
- Tablet
- Others: Which ones?
- 9.
- What operating systems do you usually use to browse the internet?Select all that apply.Options:
- Windows
- Mac
- iOS
- Android
- 10.
- Which internet browser do you use most frequently?Select all that apply.Options:
- Safari
- Chrome
- Edge
- Others
- 11.
- Do you use screen readers to browse the internet?Options:
- Yes
- No
If the user answered “Yes”:Which ones:Select all that apply:- Voice Over
- Jaws
- Others
- 12.
- What do you consider your level of experience and proficiency with the internet and websites?Options:
- Beginner
- Intermediate
- Advanced
- Expert
- 13.
- Rate from 0 to 10 how much digital or online technology contributes to improving your daily life.
- 14.
- Briefly tell us, why do you use the internet? (Goal)
- 15.
- What do you usually use the internet for? (Motivation)Select all that apply.Options:
- Work
- Shopping
- Administrative Procedures
- Information
- Leisure
- Social media
- Others
Internet Experiences - 16.
- From 0 to 10, rate the level of satisfaction in using websites on the internet (where 0 is the lowest rating and 10 is the highest).
- 17.
- From 0 to 10, rate the level of internet and website accessibility in general for achieving complete and satisfactory experiences in the use of people with total visual impairments on the internet (where 0 is the lowest rating and 10 is the highest).
- 18.
- How often do you successfully complete the task or objective you were using the internet for?Options:
- Never or almost never
- Rarely
- Sometimes
- Often
- Almost always
- Always
- 19.
- List some obstacles you encounter in your internet browsing (This includes both frequency and intensity of the obstacle).
- 20.
- List the elements that frustrate you the most in your internet browsing.
- 21.
- List some elements that help/facilitate your internet browsing.
- 22.
- List the elements that bring you the most joy or satisfaction in your internet browsing.
- 23.
- Rate from 0 to 10 the level of efficiency of screen readers to support navigation and use of websites on the internet.Options:
- None
- Low
- Medium
- Good
- Very good
- 24.
- Lastly, how do you think websites, or the internet could be improved to offer more satisfying experiences to users with total visual disabilities?
- Thank you very much, your participation contributes to building a better world for all.
Appendix C. Post-Questionnaire
- From 1 to 5, what is the level of difficulty encountered on this website?
- From 1 to 5, what is the perceived level of accessibility on this website?
- From 1 to 5, how appealing did you find the pages of this website?
- From 1 to 5, how quickly did you find what you were looking for on this site?
- From 1 to 5, what is your satisfaction level with the use of this website?
- From 1 to 5, what is the level of obstacles or barriers on this website?
- From 1 to 5, how much did you feel you had control over this website?
- From 1 to 5, what is the level of elements that facilitated your navigation on this website?
- From 1 to 5, are the contents of this website easy to understand?
- From 1 to 5, when I perform an action, does it produce the expected outcome?
- From 1 to 5, did you feel you knew exactly where you were always on the website?
- From 1 to 5, do you consider that you have achieved the pursued objectives?
- From 1 to 5, did you feel autonomous/self-sufficient when using this website?
- From 1 to 5, how much did you like this website?
- From 1 to 5, is the structure of this website simple/easy to understand?
- From 1 to 5, is it easy to navigate this website?
References
- Nogueira, T.; Ferreira, D.J.; de Carvalho, S.T.; de Oliveira Berretta, L.; Guntijo, M.R. Comparing sighted and blind users task performance in responsive and non-responsive web design. Knowl. Inf. Syst. 2019, 58, 319–339. [Google Scholar] [CrossRef]
- Silva, J.S.E.; Gonçalves, R.; Branco, F.; Pereira, A.; Au-Yong-Oliveira, M.; Martins, J. Accessible software development: A conceptual model proposal. Univers. Access Inf. Soc. 2019, 18, 703–716. [Google Scholar] [CrossRef]
- Theofanos, M.F.; Redish, J. Bridging the Gap: Between accessibility and usability. Interactions 2003, 10, 36–51. [Google Scholar] [CrossRef]
- Yi, Y.J. Web accessibility of healthcare Web sites of Korean government and public agencies: A user test for persons with visual impairment. Univers. Access Inf. Soc. 2018, 19, 41–56. [Google Scholar] [CrossRef]
- World Wide Web Consortium (W3C). Available online: https://www.w3.org/WAI/fundamentals/accessibility-intro/ (accessed on 25 March 2024).
- Aizpurua, A.; Harper, S.; Vigo, M. Exploring the relationship between web (accessibility and user experience. Int. J. Hum. Comput. Stud. 2016, 91, 13–23. [Google Scholar] [CrossRef]
- Lazar, J.; Olalere, A.; Wentz, B. Investigating the accessibility and usability of job application web sites for blind users. J. Usability Stud. 2012, 7, 68–87. [Google Scholar]
- Lopes, R.; Gomes, D.; Carriço, L. Web Not For All: A Large Scale Study of Web Accessibility. In Proceedings of the International Cross-Disciplinary Conference on Web Accessibility, Raleigh, CA, USA, 26–27 April 2010; W4A. [Google Scholar] [CrossRef]
- Pribeanu, C.; Fogarassy-Neszly, P.; Pătru, A. Municipal web sites accessibility and usability for blind users: Preliminary results from a pilot study. Univers. Access Inf. Soc. 2014, 13, 339–349. [Google Scholar] [CrossRef]
- Pascual, A.; Ribera, M.; Granollers, T.; Coiduras, J.L. Impact of accessibility barriers on the mood of blind, low-vision and sighted users. Procedia Comput. Sci. 2014, 27, 431–440. [Google Scholar] [CrossRef]
- Schmutz, S.; Sonderegger, A.; Sauer, J. Implementing Recommendations From Web Accessibility Guidelines: Would They Also Provide Benefits to Nondisabled Users. Hum. Factors 2016, 19, 611–629. [Google Scholar] [CrossRef]
- World Health Organization (WHO) & World Bank. Available online: https://apps.who.int/iris/handle/10665/44575 (accessed on 24 October 2023).
- Botelho, F.H. Accessibility to digital technology: Virtual barriers, real opportunities. Assist. Technol. 2021, 33 (Suppl. 1), 27–34. [Google Scholar] [CrossRef]
- Nielsen Norman Group. Available online: https://www.nngroup.com/articles/false-consensus/ (accessed on 24 March 2024).
- Just Ask: Integrating Accessibility Throughout Design. Uiaccess. Available online: http://uiaccess.com/accessucd/personas.html (accessed on 23 March 2024).
- Lee, J.H.; Kim, Y.M.; Rhiu, I.; Yun, M.H. A persona-based approach for identifying accessibility issues in elderly and disabled users’ interaction with home appliances. Appl. Sci. 2021, 11, 368. [Google Scholar] [CrossRef]
- Nielsen Norman Group. Available online: https://www.nngroup.com/articles/accessibility-is-not-enough/?lm=accessible-design-for-users-with-disabilities (accessed on 23 March 2024).
- Organización Nacional de Ciegos Españoles (ONCE). Available online: https://www.once.es/dejanos-ayudarte/la-discapacidad-visual (accessed on 11 May 2024).
- World Health Organization (WHO). Available online: https://www.who.int/publications/i/item/9789241516570 (accessed on 11 May 2024).
- Leporini, B.; Paternò, F. Applying Web Usability Criteria for Vision-Impaired Users: Does It Really Improve Task Performance? Int. J. Hum. Comput. Interact. 2008, 24, 17–47. [Google Scholar] [CrossRef]
- Power, C.; Freire, A.P.; Petrie, H.L. Guidelines are Only Half of the Story: Accessibility Problems Encountered by Blind Users on the Web. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Austin, TX, USA, 5–10 May 2012; pp. 433–442. [Google Scholar] [CrossRef]
- Lazar, J.; Beavan, P.; Brown, J.; Coffey, D.; Nolf, B.; Poole, R.; Wenger, B. Investigating the accessibility of state government web sites in Maryland. In Designing Inclusive Interactions: Inclusive Interactions Between People and Products in Their Contexts of Use; Springer: Berlin/Heidelberg, Germany, 2010; pp. 69–78. [Google Scholar]
- Petrie, H.; Hamilton, F.; King, N. Tension, What Tension? Website accessibility and visual design. In Proceedings of the 2004 International Cross-Disciplinary Workshop on Web Accessibility (W4A), New York, NY, USA, 18 May 2004; pp. 13–18. [Google Scholar]
- Lazar, J.; Allen, A.; Kleinman, J.; Malarkey, C. What frustrates screen reader users on the web: A study of 100 blind users. Int. J. Hum. Comput. Interact. 2007, 22, 247–269. [Google Scholar] [CrossRef]
- Creswell, J.W. Qualitative Inquiry & Research Design and Mixed Methods Research; SAGE Publications: Thousand Oaks, CA, USA, 2017. [Google Scholar]
- Kula, I.; Branaghan, R.J.; Atkinson, R.K.; Roscoe, R.D. Assessing user experience via biometric sensor affect detection. In Human Performance Technology: Concepts, Methodologies, Tools, and Applications; IGI Global: Hershey, PA, USA, 2018; pp. 698–714. [Google Scholar]
- Yesilada, Y.; Brajnik, G.; Vigo, M.; Harper, S. Exploring perceptions of web accessibility: A survey approach. Behav. Inf. Technol. 2015, 34, 119–134. [Google Scholar] [CrossRef]
- Yesilada, Y.; Brajnik, G.; Harper, S. Barriers common to mobile and disabled web users. Interact. Comput. 2011, 23, 525–542. [Google Scholar] [CrossRef]
- Forrester. Available online: https://www.forrester.com/report/The+Six+Steps+For+Justifying+Better+UX/-/E-RES117708 (accessed on 23 March 2024).
- Nielsen Norman Group. Available online: https://www.nngroup.com/articles/persona/ (accessed on 23 March 2024).
- Zubair, M.S.; Brown, D.; Hughes-Roberts, T.; Bates, M. A method of creating personae for children with autism spectrum condition: Application and revision. J. Enabling Technol. 2019, 13, 112–122. [Google Scholar] [CrossRef]
- Goodman, J.; Clarkson, P.J.; Langdon, P. Providing information about older and disabled users to designers. In Proceedings of the HCI, the Web and the Older Population, Workshop at HCI, London, UK, 12 September 2006. [Google Scholar]
- Schulz, T.; Skeide Fuglerud, K. Creating personas with disabilities. In Proceedings of the Computers Helping People with Special Needs: 13th International Conference, ICCHP 2012, Linz, Austria, 11–13 July 2012; Part II 13. pp. 145–152. [Google Scholar]
- Goris, S.J.A.G. Utilidad y tipos de revisión de literatura. Ene 2015, 9, 2. [Google Scholar] [CrossRef]
- Serrano, E. Accesibilidad vs usabilidad web: Evaluación y correlación. Investig. Bibl. 2009, 23, 61–103. [Google Scholar]
- Web Accessibility Initiative (WAI). Available online: https://www.w3.org/WAI/standards-guidelines/wcag/es (accessed on 23 March 2024).
- United Nations. Available online: https://www.un.org/es/about-us/universal-declaration-of-human-rights (accessed on 10 March 2024).
- International Organization for Standardization (ISO). Available online: https://www.iso.org/obp/ui/#iso:std:iso-iec:40500:ed-1:v1:en (accessed on 24 March 2024).
- European Telecommunications Standards Institute (ETSI). Available online: https://www.etsi.org/deliver/etsi_en/301500_301599/301549/03.02.01_60/en_301549v030201p.pdf (accessed on 24 March 2024).
- Section 508. Available online: https://www.section508.gov/ (accessed on 24 March 2024).
- Mátrai, R.K. How to make an electronic library accessible. Electron. Libr. 2018, 36, 620–632. [Google Scholar] [CrossRef]
- Petrie, H.; Kheir, O. The relationship between accessibility and usability of websites. In Proceedings of the 2007 Conference on Human factors in Computing Systems, San Jose, CA, USA, 28 April–3 May 2007; pp. 397–406. [Google Scholar] [CrossRef]
- Organización Nacional de Ciegos Españoles (ONCE). Available online: https://www.once.es/ (accessed on 11 May 2024).
- The International Agency for the Prevention of Blindness (IAPB). Available online: https://www.iapb.org/learn/vision-atlas/ (accessed on 11 May 2024).
- Schmutz, S.; Sonderegger, A.; Sauer, J. Effects of accessible website design on nondisabled users: Age and device as moderating factors. Ergonomics 2018, 61, 697–709. [Google Scholar] [CrossRef]
- Hassan-Montero, Y.; Fernández, F.J.M. Propuesta de adaptación de la metodología de diseño centrado en el usuario para el desarrollo de sitios web accesibles. Rev. Española De Doc. Científica 2004, 27, 330–344. [Google Scholar]
- Disability Rights Commission. The Web: Access and Inclusion for Disabled People; Disability Rights Commission: London, UK, 2004. [Google Scholar]
- Huber, W.; Vitouch, P. Usability and accessibility on the internet: Effects of accessible web design on usability. In Proceedings of the Computers Helping People with Special Needs: 11th International Conference, ICCHP 2008, Linz, Austria, 9–11 July 2008; pp. 482–489. [Google Scholar] [CrossRef]
- Lazar, J.; Dudley-Sponaugle, A.; Greenidge, K.D. Improving web accessibility: A study of webmaster perceptions. Comput. Hum. Behav. 2004, 20, 269–288. [Google Scholar] [CrossRef]
- Microsoft. Engineering Software for Accessibility; Microsoft: Redmond, WA, USA, 2010. [Google Scholar]
- Slatin, J.M. The art of ALT: Toward a more accessible Web. Comput. Compos. 2001, 18, 73–81. [Google Scholar] [CrossRef]
- Nielsen Norman Group. Available online: https://www.nngroup.com/articles/beyond-accessibility-treating-users-with-disabilities-as-people/ (accessed on 5 November 2023).
- Schmitt, B. Experience marketing: Concepts, frameworks and consumer insights. Found. Trends® Mark. 2011, 5, 55–112. [Google Scholar] [CrossRef]
- Hassenzahl, M.; Tractinsky, N. User experience—A research agenda. Behav. Inf. Technol. 2006, 25, 91–97. [Google Scholar] [CrossRef]
- Van Boven, L.; Gilovich, T. To do or to have? That is the question. J. Personal. Soc. Psychol. 2003, 85, 1193. [Google Scholar] [CrossRef] [PubMed]
- Nielsen Norman Group. Available online: https://www.nngroup.com/articles/usability-101-introduction-to-usability/ (accessed on 23 March 2024).
- Sauer, J.; Sonderegger, A.; Schmutz, S. Usability, user experience and accessibility: Towards an integrative model. Ergonomics 2020, 63, 1207–1220. [Google Scholar] [CrossRef] [PubMed]
- Nielsen, J. Usability Engineering; Academic Press: San Diego, CA, USA, 1993. [Google Scholar]
- Lin, T.; Omata, M.; Hu, W.; Imamiya, A. Do physiological data relate to traditional usability indexes? In Proceedings of the 17th Australasian Computer-Human Interaction Conference, Canberra, Australia, 21–25 November 2005; pp. 1–10. [Google Scholar]
- D‘Mello, S.K.; Kory, J. A review and meta-analysis of multimodal affect detection systems. ACM Comput. Surv. (CSUR) 2015, 47, 1–36. [Google Scholar] [CrossRef]
- Mandryk, R.L.; Inkpen, K.M.; Calvert, T.W. Using psychophysiological techniques to measure user experience with entertainment technologies. Behav. Inf. Technol. 2006, 25, 141–158. [Google Scholar] [CrossRef]
- Yao, L.; Liu, Y.; Li, W.; Zhou, L.; Ge, Y.; Chai, J.; Sun, X. Using physiological measures to evaluate user experience of mobile applications. In Proceedings of the 11th International conference on engineering psychology and cognitive ergonomics, Crete, Greece, 22–27 June 2014; Springer: Cham, Switzerland, 2014; pp. 301–310. [Google Scholar]
- Foglia, P.; Prete, C.A.; Zanda, M. Relating GSR signals to traditional usability metrics: Case study with an anthropomorphic web assistant. In Proceedings of the 2008 IEEE Instrumentation and Measurement Technology Conference, Victoria, BC, Canada, 12–15 May 2008; IEEE: Piscataway, NJ, USA, 2008; pp. 1814–1818. [Google Scholar] [CrossRef]
- Kocaleva, M.; Stojanova, A.; Koceska, N. Using physiological parameters for evaluating User Experience. In Proceedings of the VII International Conference of Information Technology and Development of Education, ITRO 2017, Zrejanin, Serbia, 27–29 December 2017; pp. 228–232. [Google Scholar]
- Picard, R.W.; Healey, J. Affective wearables. Pers. Technol. 1997, 1, 231–240. [Google Scholar] [CrossRef]
- Ekman, P.; Levenson, R.W.; Friesen, W.V. Autonomic nervous system activity distinguishes among emotions. Science 1983, 221, 1208–1210. [Google Scholar] [CrossRef] [PubMed]
- Nielsen, J.; Pernice, K. Eyetracking Web Usability; New Riders Pub.: New York, NY, USA, 2010. [Google Scholar]
- Vicente, K.J.; Hayes, B.C.; Williges, R.C. Assaying and isolating individual differences in searching a hierarchical file system. Hum. Factors 1987, 29, 349–359. [Google Scholar] [CrossRef] [PubMed]
- Cohn, J.F.; De la Torre, F. Automated face analysis for affective computing. In The Oxford Handbook of Affective Computing; Oxford University Press: New York, NY, USA, 2014; pp. 131–150. [Google Scholar] [CrossRef]
- Podsakoff, P.M.; MacKenzie, S.B.; Lee, J.Y.; Podsakoff, N.P. Common method biases in behavioral research: A critical review of the literature and recommended remedies. J. Appl. Psychol. 2003, 88, 879. [Google Scholar] [CrossRef] [PubMed]
- Vermeeren, A.P.; Law, E.L.C.; Roto, V.; Obrist, M.; Hoonhout, J.; Väänänen-Vainio-Mattila, K. User experience evaluation methods: Current state and development. In Proceedings of the 6th Nordic Conference on Human-Computer Interaction 2010, Reykjavik, Iceland, 16–20 October 2010; pp. 521–530. [Google Scholar] [CrossRef]
- Bruun, A. It’s not complicated: A study of non-specialists analyzing GSR sensor data to detect UX related events. In Proceedings of the 10th Nordic Conference on Human-Computer Interaction, Oslo, Norway, 29 September–3 October 2018; pp. 170–183. [Google Scholar] [CrossRef]
- Cowley, B.; Filetti, M.; Lukander, K.; Torniainen, J.; Henelius, A.; Ahonen, L.; Barral, O.; Kosunen, I.; Valtonen, T.; Huotilainen, M.; et al. The psychophysiology primer: A guide to methods and a broad review with a focus on human–computer interaction. Found. Trends® Hum. Comput. Interact. 2016, 9, 151–308. [Google Scholar] [CrossRef]
- Alonso, J.L.N.; Lucas, J.M.A. Psicología de la Competición; Wanceulen Editorial Deportiva. S.L.: Sevilla, Spain, 2004. [Google Scholar]
- Vallejo Ruiloba, J. Introducción a la Psicopatología y a la Psiquiatría; Salvat: Barcelona, Spain, 1992. [Google Scholar]
- Nacke, L.; Lindley, C.A. Flow and immersion in first-person shooters: Measuring the player’s gameplay experience. In Proceedings of the 2008 Conference on Future Play: Research, Play, Share, Toronto, ON, Canada, 3–5 November 2008; pp. 81–88. [Google Scholar] [CrossRef]
- Dawson, M.E.; Schell, A.M.; Filion, D.L. The electrodermal system. In Handbook of Psychophysiology, 3rd ed.; Cacioppo, J.T., Tassinary, L.G., Berntson, G.G., Eds.; Cambridge University Press: Cambridge, UK, 2007; pp. 159–181. [Google Scholar] [CrossRef]
- Bach, D.R.; Friston, K.J. Model-based analysis of skin conductance responses: Towards causal models in psychophysiology. Psychophysiology 2013, 50, 15–22. [Google Scholar] [CrossRef] [PubMed]
- Boucsein, W. Electrodermal Activity; Springer Science & Business Media: New York, NY, USA, 1992. [Google Scholar]
- Healey, J.A. Wearable and Automotive Systems for Affect Recognition from Physiology. Ph.D. Thesis, Massachusetts Institute of Technology, Cambridge, MA, USA, 2000. [Google Scholar]
- Ohme, R.; Reykowska, D.; Wiener, D.; Choromanska, A. Analysis of neurophysiological reactions to advertising stimuli by means of EEG and galvanic skin response measures. J. Neurosci. Psychol. Econ. 2009, 2, 21. [Google Scholar] [CrossRef]
- Fairclough, S.H. Fundamentals of physiological computing. Interact. Comput. 2009, 21, 133–145. [Google Scholar] [CrossRef]
- Calvo, R.A.; D’Mello, S.K.; Gratch, J.; Kappas, A. The Oxford Handbook of Affective Computing; Oxford University Press: New York, NY, USA, 2014. [Google Scholar]
- Ghergulescu, I.; Muntean, C.H. A novel sensor-based methodology for learner’s motivation analysis in game-based learning. Interact. Comput. 2014, 26, 305–320. [Google Scholar] [CrossRef]
- Ward, R.D.; Marsden, P.H. Physiological responses to different WEB page designs. Int. J. Hum. Comput. Stud. 2003, 59, 199–212. [Google Scholar] [CrossRef]
- Cooper, A. The Inmates Are Running the Asylum: Why High-Tech Products Drive Us Crazy and How to Restore the Sanity; Sams Publishing: Carmel, IN, USA, 1999. [Google Scholar]
- Blokmvist, S. Persona–an overview. The User as a personality. Using Personas as a tool for design. Theoretical perspectives in Human-Computer Interaction at IPLab, KTH; 3 Septiembre 2002. Available online: https://www.researchgate.net/publication/242401053_Persona_-_an_overview_Extract_from_the_paper_The_User_as_a_personality_Using_Personas_as_a_tool_for_design_Position_paper_for_the_course_workshop_Theoretical_perspectives_in_Human-Computer_Interaction (accessed on 23 March 2024).
- Calabria, T. An introduction to personas and how to create them. KM Column. 2. Steps to designs. 2004. Available online: https://www.studocu.com/en-us/document/indiana-university-purdue-university-indianapolis/info-resources-services/calabria-personas-example-and-practice-for-human-computer-interaction-persona-assignment/19810284 (accessed on 23 March 2024).
- Pruitt, J.; Grudin, J. Personas: Practice and theory. In Proceedings of the 2003 Conference on Designing the User Experiences, DUX03, San Francisco, CA, USA, 6–7 June 2003; pp. 1–15. [Google Scholar] [CrossRef]
- Garreta, M.; Mor, E. Diseño Centrado en el Usuario; Universidad Oberta de Catalunya: Barcelona, Spain, 2011; Available online: http://hdl.handle.net/10609/9861 (accessed on 27 March 2024).
- Goodwin, K. Designing for the Digital Age: How to Create Human-Centered; Products and Services: Wiley, NJ, USA, 2009. [Google Scholar]
- Adlin, T.; Pruitt, J. The Essential Persona Lifecycle: Your Guide to Building and Using Personas; Morgan Kaufmann: Burlington, MA, USA, 2006. [Google Scholar]
- Pruitt, J.; Adlin, T. The Persona Lifecycle: Keeping People in Mind Throughout Product Design; Morgan Kaufmann: Burlington, MA, USA, 2006. [Google Scholar]
- Forrester Research. Available online: https://www.forrester.com/report/The-ROI-Of-Personas/RES55359 (accessed on 27 March 2024).
- Cooper, D. Challenging Diversity; Cambridge University Press: Cambridge, UK, 2004. [Google Scholar] [CrossRef]
- Grudin, J.; Pruitt, J. Personas, participatory design and product development: An infrastructure for engagement. In Proceedings of the 7th Biennial Participatory Design Conference 2002, Malmø, Sweden, 23–25 June 2002; 2002; pp. 144–152. [Google Scholar]
- Kitchin, R. The researched opinions on research: Disabled people and disability research. Disabil. Soc. 2000, 15, 25–47. [Google Scholar] [CrossRef]
- Brooke, J. SUS: A Quick and Dirty Usability Scale. In Usability Evaluation in Industry; Digital Equipment Co Ltd.: London, UK, 1996. [Google Scholar]
- Hassenzahl, M.; Burmester, M.; Koller, F. AttrakDiff: Ein Fragebogen zur Messung wahrgenommener hedonischer und pragmatischer Qualität. In Mensch & Computer 2003: Interaktion in Bewegung; Vieweg + Teubner Verlag: Wiesbaden, Germany, 2003; pp. 187–196. [Google Scholar]
- Kirakowski, J.; Cierlik, B. Measuring the usability of web sites. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Los Angeles, CA, USA, 1 October 1998; SAGE Publications: Thousand Oaks, CA, USA, 1998; Volume 42, pp. 424–428. [Google Scholar] [CrossRef]
- Laugwitz, B.; Held, T.; Schrepp, M. Construction and evaluation of a user experience questionnaire. In Proceedings of the HCI and Usability for Education and Work: 4th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, Graz, Austria, 20–21 November 2008; Springer: Berlin/Heidelberg, Germany, 2008; pp. 63–76. [Google Scholar]
- Matthews, O.; Davies, A.; Vigo, M.; Harper, S. Unobtrusive arousal detection on the web using pupillary response. Int. J. Hum. -Comput. Stud. 2020, 136, 102361. [Google Scholar] [CrossRef]
- National Aeronautics and Space Administration (NASA). Available online: https://humansystems.arc.nasa.gov/groups/TLX/ (accessed on 9 May 2024).
- Nielsen, J.; Landauer, T.K. A mathematical model of the finding of usability problems. In Proceedings of the INTERACT’93 and CHI’93 Conference on Human Factors in Computing Systems, Amsterdam, The Nederlands, 24–29 April 1993; pp. 206–213. [Google Scholar]
- Petrie, H.; Precious, J. Measuring user experience of websites: Think aloud protocols and an emotion word prompt list. In Proceedings of the Computer Human Interactions, CHI’10 Extended Abstracts on Human Factors in Computing Systems, Atlanta, GA, USA, 10–15 April 2010; pp. 3673–3678. [Google Scholar]
- Watson, D.; Clark, L.A.; Tellegen, A. Development and validation of brief measures of positive and negative affect: The PANAS scales. J. Personal. Soc. Psychol. 1988, 54, 1063. [Google Scholar] [CrossRef] [PubMed]
- Nielsen Norman Group. Available online: https://www.nngroup.com/articles/thinking-aloud-the-1-usability-tool/ (accessed on 23 March 2024).
Theorical Dimensions | Documents | Methodology Phase |
---|---|---|
ACCESIBILITY & PEOPLE WITH DISABILITIES | Aizpurua et al. (2016) [6] | RESEARCH PHASE |
Botelho (2021) [13] | ||
Disability Rights Commission (2004) [47] | ||
European Telecommunications Standards Institute (ETSI) (n.d.) [39] | ||
Hassan-Montero & Fernández (2004) [46] | ||
Henry (2006) [15] | ||
Huber & Vitouch (2008) [48] | ||
International Organization for Standardization (ISO) (n.d.) [38] | ||
Lazar et al. (2004) [49] | ||
Lazar et al. (2007) [24] | ||
Lazar et al. (2010) [22] | ||
Leporini & Paternò (2008) [20] | ||
Mátrai (2018) [41] | ||
Microsoft (2010). Engineering software for accessibility (2010) [50] | ||
Nielsen Norman Group (2001) [52] | ||
Nogueira et al. (2019) [1] | ||
Pascual et al. (2014) [10] | ||
Petrie & Kheir (2007) [42] | ||
Petrie, Hamilton & King (2004) [23] | ||
Power, Freire & Petrie (2012) [21] | ||
Schmutz, Sonderegger & Sauer (2016) [11] | ||
Schmutz, Sonderegger & Sauer (2018) [11] | ||
Serrano (2009) [35] | ||
Slatin (2001) [51] | ||
Theofanos & Redish (2003) [3] | ||
United Nations (n.d.) [37] | ||
United States Rehabilitation Act (n.d.) [40] | ||
Web Accessibility Initiative (WAI) (n.d.) [36] | ||
World Wide Web Consortium (W3C) (n.d.) [5] | ||
USER EXPERIENCE & USABILITY | Brooke (1996) [98] | |
Hassenzahl & Tractinsky (2006) [54] | ||
Hassenzahl et al. (2003) [99] | ||
Kirakowski & Cierlik (1998) [100] | ||
Laugwitz et al. (2008) [101] | ||
Matthews et al. (2020) [102] | ||
National Aeronautics and Space Administration (NASA) (n.d.) [103] | ||
Nielsen & Landauer (1993) [104] | ||
Nielsen (1993) [58] | ||
Nielsen Norman Group (1993) [58] | ||
Nielsen Norman Group (2012) [56] | ||
Petrie &Precious (2010) [105] | ||
Sauer, Sonderegger & Schmutz (2020) [57] | ||
Schmitt (2011) [53] | ||
Van Boven & Gilovich (2003) [55] | ||
Watson et al. (1988) [106] | ||
NEUROSCIENCE | Bruun (2018) [72] | |
Cohn & De la Torre (2014) [69] | ||
Cowley et al. (2016) [73] | ||
D’Mello, & Kory (2015) [60] | ||
Ekman, Levenson & Friesen (1983) [66] | ||
Foglia et al. (2008) [63] | ||
Kocaleva et al. (2017) [64] | ||
Kula et al. (2018) [26] | ||
Lin et al. (2005) [59] | ||
Mandryk et al. (2006) [61] | ||
Nacke & Lindley (2008) [76] | ||
Nielsen & Pernice (2010) [67] | ||
Núñez Alonso & Martín-Albo Lucas (2004) [74] | ||
Picard & Healey (1997) [65] | ||
Podsakoff et al. (2003) [70] | ||
Vallejo Ruiloba (1992) [75] | ||
Vermeeren et al. (2010) [71] | ||
Vicente, Hayes & Williges (1987) [68] | ||
Yao et al. (2014) [62] | ||
Zubair et al. (2019) [31] | ||
GSR | Bach & Friston (2013) [78] | |
Boucsein (1992) [79] | ||
Bruun (2018) [72] | ||
Calvo et al. (2014) [83] | ||
Dawson et al. (2007) [77] | ||
Ekman, Levenson & Friesen (1983) [66] | ||
Fairclough (2009) [82] | ||
Foglia et al. (2008) [62] | ||
Ghergulescu & Muntean (2014) [84] | ||
Healey (2000) [80] | ||
Kula et al. (2018) [26] | ||
Mandryk et al. (2006) [61] | ||
Ohme et al. (2009) [81] | ||
Ward & Marsden (2003) [85] | ||
Yao et al. (2014) [63] | ||
PERSONA | Adlin & Pruitt (2006) [92] | DESIGN PHASE |
Blokmvist (2002) [87] | ||
Calabria (2004) [88] | ||
Cooper (1999) [86] | ||
Forrester Research (2010) [94] | ||
Garreta & Mor (2011) [90] | ||
Goodwin (2009) [91] | ||
Pruitt & Adlin (2006) [93] | ||
Pruitt & Grudin (2003) [89] | ||
Sauer, Sonderegger & Schmutz (2020) [57] | ||
Zubair et al. (2019) [31] | ||
DISABLED PERSONA | Cooper (2004) [86] | |
Goodman et al. (2006) [32] | ||
Grudin & Pruitt (2002) [96] | ||
Kitchin (2000) [97] | ||
Henry (2006) [15] | ||
Lee et al. (2021) [16] | ||
Sauer, Sonderegger & Schmutz (2020) [57] | ||
Schulz & Fuglerud (2012) [33] | ||
Zubair et al. (2019) [31] |
TECHNIQUE | QUANTITATIVE DATA | QUALITATIVE DATA | OBJECTIVE DATA | SUBJECTIVE DATA | |
---|---|---|---|---|---|
USER BASED | User testing | * | * | * | |
Checklist | * | * | * | ||
Thinking-aloud technique | * | * | |||
Questionnaires | * | * | |||
User reports and complaints | * | * | |||
Psychophysiology | * | * | |||
EXPERT BASED | User observation | * | * | * | |
Heuristic evaluation | * | * | |||
Automatic checking | * | * | |||
Cognitive Walkthrough | * | * |
Research Method | Stimuli | Instruments | Research Themes |
---|---|---|---|
(i) Literature Summary | Documents | Summary | Web accessibility errors frustrating to blind users |
(ii) Expert Questionnaire | Question Form | PC | Common accessibility errors, WCAG |
(iii) User Questionnaire | Question Form | PC | Habits, Needs, Frustration, Satisfaction, Objectives, Motivations |
(iv) Thinking-Aloud Test | 2–3 tasks × 8 websites (2 0 level, 2 A level, 2 AA level, 2 AAA level) | PC | Needs, Frustration, Satisfaction, Success, |
(v) Contextual Observation | Recordings, Notes | Needs, Frustration, Satisfaction, Success | |
(v) GSR | GSR Device | Arousal |
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Marin-Alvarez, E.; Carcelen-Garcia, S.; Galmes-Cerezo, M. A Holistic and Multidimensional Methodology Proposal for a Persona with Total Visual Impairment Archetype on the Web. Societies 2024, 14, 102. https://doi.org/10.3390/soc14070102
Marin-Alvarez E, Carcelen-Garcia S, Galmes-Cerezo M. A Holistic and Multidimensional Methodology Proposal for a Persona with Total Visual Impairment Archetype on the Web. Societies. 2024; 14(7):102. https://doi.org/10.3390/soc14070102
Chicago/Turabian StyleMarin-Alvarez, Esther, Sonia Carcelen-Garcia, and María Galmes-Cerezo. 2024. "A Holistic and Multidimensional Methodology Proposal for a Persona with Total Visual Impairment Archetype on the Web" Societies 14, no. 7: 102. https://doi.org/10.3390/soc14070102
APA StyleMarin-Alvarez, E., Carcelen-Garcia, S., & Galmes-Cerezo, M. (2024). A Holistic and Multidimensional Methodology Proposal for a Persona with Total Visual Impairment Archetype on the Web. Societies, 14(7), 102. https://doi.org/10.3390/soc14070102