Basic senior personas

Wöckl, Bernhard; Yildizoglu, Ulcay; Buber, Isabella; Diaz, Belinda Aparicio; Kruijff, Ernst; Tscheligi, Manfred

doi:10.1145/2384916.2384922

Cited by 51 publications

(16 citation statements)

References 15 publications

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“…Personas of older people have been incorporated in health informatics [ 52 , 53 , 54 ]. A project in Europe has developed 30 basic senior personas as a tool for software developers using data derived from the longitudinal survey SHARE (Survey of Health Ageing and Retirement in Europe) [ 55 ]. Taşoz and Afacan developed three personas of older people that were used to explore simulated ageing and the effect on basic activities of daily life [ 56 ].…”

Section: Discussionmentioning

confidence: 99%

Thermal Personalities of Older People in South Australia: A Personas-Based Approach to Develop Thermal Comfort Guidelines

Bennetts

Martins

Hoof

et al. 2020

IJERPH

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An important consideration for future age-friendly cities is that older people are able to live in housing appropriate for their needs. While thermal comfort in the home is vital for the health and well-being of older people, there are currently few guidelines about how to achieve this. This study is part of a research project that aims to improve the thermal environment of housing for older Australians by investigating the thermal comfort of older people living independently in South Australia and developing thermal comfort guidelines for people ageing-in-place. This paper describes the approach fundamental for developing the guidelines, using data from the study participants’ and the concept of personas to develop a number of discrete “thermal personalities”. Hierarchical Cluster Analysis (HCA) was implemented to analyse the features of research participants, resulting in six distinct clusters. Quantitative and qualitative data from earlier stages of the project were then used to develop the thermal personalities of each cluster. The thermal personalities represent different approaches to achieving thermal comfort, taking into account a wide range of factors including personal characteristics, ideas, beliefs and knowledge, house type, and location. Basing the guidelines on thermal personalities highlights the heterogeneity of older people and the context-dependent nature of thermal comfort in the home and will make the guidelines more user-friendly and useful.

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Section: Discussionmentioning

confidence: 99%

Thermal Personalities of Older People in South Australia: A Personas-Based Approach to Develop Thermal Comfort Guidelines

Bennetts

Martins

Hoof

et al. 2020

IJERPH

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“…Other researchers refer to hybrid personas that use mixed methods (Pruitt & Grudin, 2003;Salminen, Şengün et al, 2018). Fundamentally, all methods are based on three main steps: (a) user data collection, (b) segmentation and clustering, and (c) synthesis of the (qualitative or quantitative) data to present user segments and their attributes as persona profiles (Wöckl et al, 2012;Zhu et al, 2019).…”

Section: Rq01: How Have the Ddpd Research Interests And Methodologies Developed Over Time?mentioning

confidence: 99%

“…The introduction of behavioral data took place (Masiero et al, 2011). DDPD also gradually became used for analyzing diverse subpopulations, such as Vietnamese youth (Dang-Pham et al, 2015) and senior European citizens (Wöckl et al, 2012). In such research, the development of personas is applied as a means to an end, rather than being the focus itself.…”

Section: Third Period: Digitalizationmentioning

confidence: 99%

“…Personas, as imaginary people describing real user segments , are considered a powerful technique for user understanding and usercentric design in human-computer interaction (HCI). Personas are relevant and potentially useful for researchers and practitioners facing user-centric decision-making tasks in a variety of industries and application domains, including software development (Aoyama, 2007;Hang Guo & Razikin, 2015), design (Goodman-Deane et al, 2018;Miaskiewicz & Luxmoore, 2017), e-health (Holden et al, 2017;Wöckl et al, 2012), marketing/advertising , cybersecurity (Dupree et al, 2016;Kim et al, 2019), video games (Ishii et al, 2018;Tychsen & Canossa, 2008), online news Watanabe et al, 2017), recommender systems (Hou et al, 2020;Konstantakis et al, 2020), and so on. In the era of personified big data (Spiliotopoulos et al, 2020), personas are particularly useful for segmenting diverse online user populations .…”

Section: Introductionmentioning

confidence: 99%

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A Survey of 15 Years of Data-Driven Persona Development

Salminen

Guan

Jung

et al. 2021

International Journal of Human–Computer Interaction

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Data-driven persona development unifies methodologies for creating robust personas from the behaviors and demographics of user segments. Data-driven personas have gained popularity in human-computer interaction due to digital trends such as personified big data, online analytics, and the evolution of data science algorithms. Even with its increasing popularity, there is a lack of a systematic understanding of the research on the topic. To address this gap, we review 77 datadriven persona research articles from 2005-2020. The results indicate three periods: (1) Quantification (2005)(2006)(2007)(2008), which consists of the first experiments with data-driven methods, (2) Diversification (2009-2014), which involves more pluralistic use of data and algorithms, and ( 3) Digitalization (2015-present), marked by the abundance of online user data and the rapid development of data science algorithms and software. Despite consistent work on data-driven personas, there remain many research gaps concerning (a) shared resources, (b) evaluation methods, (c) standardization, (d) consideration for inclusivity, and (e) risk of losing in-depth user insights. We encourage organizations to realistically assess their data-driven persona development readiness to gain value from data-driven personas.

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“…Potential participant's visual, hearing, motor and cognitive abilities estimated by NICKEL's users comprise the input for NICKEL. The capabilities of the potential participants can be estimated using several possible techniques such as designer experience, target user specifications or methods such as creating scenarios (Blythe & Dearden, 2009) or personas (Wöckl et al, 2012). For example, four different sample personas of older and disabled adults to evaluate NICKEL in the user study (see Appendix C) are used in order to generate human capability inputs for NICKEL.…”

Section: Nickel Structurementioning

confidence: 99%

Needs Investigation Methods Compatible With Key End User Limitation (Nickel): A Tool For Selecting User Centered Needs Elicitation Methods For Older Adults

Roy¹

2023

Preprint

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During the design process older and/or disabled adults are often left out of the needs elicitation process because many of the User Centered Needs Elicitation Methods (UCNEM) are not accessible to these individuals. This thesis explains the development of NICKEL, a decision-support tool which allows users to determine UCNEMs that fit the human capability of the older and/or disabled adult participants in their study. Three levels of the cognitive, visual, hearing and physical human capabilities required for 19 UCNEMs are determined using a survey and focus group with expert designers/researchers. A user study is carried out to determine the usability and usefulness of NICKEL with novice and expert designers/researchers. Major findings indicated that NICKEL is an easy to use and useful tool for users when determining appropriate UCNEMs for older and disabled adults. Future work could include adding other capabilities such as interpersonal skills and adding new methods to NICKEL.

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Basic senior personas

Cited by 51 publications

References 15 publications

Thermal Personalities of Older People in South Australia: A Personas-Based Approach to Develop Thermal Comfort Guidelines

Thermal Personalities of Older People in South Australia: A Personas-Based Approach to Develop Thermal Comfort Guidelines

A Survey of 15 Years of Data-Driven Persona Development

Needs Investigation Methods Compatible With Key End User Limitation (Nickel): A Tool For Selecting User Centered Needs Elicitation Methods For Older Adults

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