An Age-Old Problem: Examining the Discourses of Ageing in HCI and Strategies for Future Research

By John Vines, Gary W. Pritchard, Peter C. Wright, Patrick L. Olivier, Katie Brittain. TCHI, 2015

453 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Demography, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/ff376d8974ca1f00253cce1e6ab47750a9499ba3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Anne Marie Piper
2. Darren Gergle

In Human-Computer Interaction

1. Anne Marie Piper
2. Darren Gergle

Citations in the corpus

• Addressing Age-Related Bias in Sentiment Analysis (2018, background): “…discrimination and age bias are topics that have also begun to receive attention within HCI where work highlights the ways that researchers and designers tend to treat aging as a “problem” with technology as a solution, rather than viewing aging as a complex and natural part of the lifespan [74].”