Reddy, G., Blackler, A., Mahar, D., & Popovic, V. (2010). The effects of cognitive ageing on use of complex interfaces. Proceedings of the 22nd Conference of the Computer-Human Interaction Special Interest Group of Australia on Computer-Human Interaction, 180-183. doi:10.1145/1952222.1952259
Many older adults find it difficult to use modern products because of their function and interface design. Past research shows that the decline in cognitive functioning as you get older affects your speed and accuracy when using complex technological products, but another study shows that effectively using a product is not generation-specific or different depending on your age.
Therefore, the authors of this paper wanted to look deeper at how cognitive aging and prior technology experience affect using such complex interfaces.
37 subjects between ages 18 and 83 participated in the experiment. First, they were given an information package, consent form, eye acuity test, and a questionnaire on their technology experience. Then they were given trials that involved tasks with a body fat analyzer. Task time, errors, body language, and facial expressions were recorded at this time. After, the subjects were given a post test on their technological experience, and used an application to measure “different aspects of cognitive function” (p. 181).
The researchers found a significant negative correlation between experience with technology and task time. Younger people were more likely to be tech-savvy and take less time.
There was also a strong negative correlation between sustained attention, task time, and errors. Older adults were less able to sustain attention.
Lastly, older adults tended to make more errors than the younger participants and also took longer to recover from errors. The authors state that this opposes the Processing-speed Theory proposed by Salthouse (1996), which suggests that there would be minimal differences between older and younger performance if given unlimited amount of time. The experiment had no time restrictions, and therefore the findings contradict this.
Again, due to the subject being elderly and technology, this does relate to my thesis. I thought that the contradiction to the Processing-speed theory was an interesting find and that the experiment resulted good ground work on how complex systems are more difficult for older adults due to cognitive aging. I also thought it was surprising that they had older subjects (aged 60-83) that had decent experience with technology. Although the graph they supplied made it obvious that the time it took to complete tasks were higher than that of younger participants. Maybe the older participants just felt the need to take their time, and the younger ones just wanted to get out of there? A possible threat to internal validity, I suppose.