Quantifying Device Usefulness -- How Useful is an Obsolete Device?
December 15, 2023 Β· Declared Dead Β· π IFIP TC13 International Conference on Human-Computer Interaction
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Craig Goodwin, Sandra Woolley, Ed de Quincey, Tim Collins
arXiv ID
2312.09915
Category
cs.HC: Human-Computer Interaction
Citations
3
Venue
IFIP TC13 International Conference on Human-Computer Interaction
Last Checked
4 months ago
Abstract
Obsolete devices add to the rising levels of electronic waste, a major environmental concern, and a contributing factor to climate change. In recent years, device manufacturers have established environmental commitments and launched initiatives such as supporting the recycling of obsolete devices by making more ways available for consumers to safely dispose of their old devices. However, little support is available for individuals who want to continue using legacy or 'end-of-life' devices and few studies have explored the usefulness of these older devices, the barriers to their continued use and the associated user experiences. With a human-computer interaction lens, this paper reflects on device usefulness as a function of utility and usability, and on the barriers to continued device use and app installation. Additionally, the paper contributes insights from a sequel study that extends on prior work evaluating app functionality of a 'vintage' Apple device with new empirical data on app downloadability and functionality for the same device when newly classified as 'obsolete'. A total of 230 apps, comprising the top 10 free App Store apps for each of 23 categories, were assessed for downloadability and functionality on an Apple iPad Mini tablet. Although only 20 apps (8.7%) could be downloaded directly onto the newly obsolete device, 143 apps (62.2%) could be downloaded with the use of a different non-legacy device. Of these 163 downloadable apps, 131 apps (com-prising 57% of all 230 apps and 80.4% of the downloadable apps) successfully installed, opened, and functioned. This was a decrease of only 4.3% in functional apps (of the 230 total apps) compared to the performance of the device when previously classified as 'vintage'.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Human-Computer Interaction
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Improving fairness in machine learning systems: What do industry practitioners need?
R.I.P.
π»
Ghosted
Identifying Stable Patterns over Time for Emotion Recognition from EEG
R.I.P.
π»
Ghosted
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
R.I.P.
π»
Ghosted
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
R.I.P.
π»
Ghosted
Educational data mining and learning analytics: An updated survey
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted