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Age and gender in gerontechnology development : Emphasizing the need for an intersectional approach
Katja Antonia Rießenberger1, Florian Fischer2
1Bavarian Research Center for Digital Health and Social Care, Kempten University of Applied Sciences, Albert-Einstein-Straße 6, 87437, Kempten (Allgäu), Germany. katja.riessenberger@hs-kempten.de.
Participatory design (PD) methods can address the digital divide in gerontechnology. Enhancing PD with awareness of age and gender stereotypes promotes inclusive technology development for older adults.
Area of Science:
- Gerontechnology
- Human-Computer Interaction
- Sociology of Technology
Background:
- The digital divide disproportionately affects older adults, influenced by age and gender.
- Gerontechnology design risks perpetuating stereotypes if age and gender are ignored.
- Participatory design (PD) offers a method to counter digital exclusion in technology development.
Purpose of the Study:
- To examine the intersection of age and gender in gerontechnology development.
- To support the advancement of co-creation practices in gerontechnology.
- To analyze how age and gender influence horizontal inequalities in technology design.
Main Methods:
- Investigating the application of participatory design (PD) in gerontechnology.
- Analyzing the social dimensions of age and gender in technology exclusion.
- Utilizing an intersectional approach to understand inequalities in technology development.
Main Results:
- Participatory design (PD) methods are suitable for describing age and gender dynamics.
- Awareness of gendered and ageist patterns is crucial for effective PD.
- Intersectional analysis reveals how gerontechnology reinforces or challenges societal discourses on aging and gender.
Conclusions:
- PD approaches, when critically informed, can effectively address age and gender in technology development.
- An intersectional perspective enhances understanding of inclusivity in gerontechnology.
- Future gerontechnology development must integrate awareness of societal age and gender biases.
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