Age differences in attention toward decision-relevant information: education matters

A cross-sectional study of the major risk factor at different levels of cognitive performance within Chinese-origin middle-aged and elderly individuals

OBJECTIVE

Senior citizens suffering from cognitive impairment (CI) are on the East Asia rise. Multiple variables could lead to inter-/intra-individual cognition effectiveness variations, though previous research efforts did not consider weighting issues.

METHODS

This study scrutinized 5639 participants meeting required inclusion criteria by the CHARLS. Cognitive capacity was evaluated through Mini-Mental State Examination (MMSE). Considering that MMSE scorings were not following normal distribution, a non-parametric test and multiple linear regression were performed to screen candidate variables linked to cognitive capacity. Such applicability of candidate factors in the cumulative effect and the weighting of the impact on cognitive performance were evaluated by random forest (RF) algorithm.

RESULTS

Age, gender, education, marital status, residence, the type of residence, exercise, socialization level and drinking were correlated to MMSE scorings (p < 0.05). Among them, age, education, gender and sociality were correlated to individual MMSE items (p < 0.05). Regardless of MMSE scores and several MMSE items, age is always a prime factor. However, in the attention and computation item, education is better than age and ranks first.

CONCLUSIONS

This preliminary study prompted age, education, gender, and sociality with varying weightings to be linked to cognitive capacity within a Chinese cohort by differing cognitive aspects. At different levels of cognitive performance, the main risk factors are basically similar, but there are still some differences.

Facial Trustworthiness Influences Age Differences in Visual Attention Toward Credible Versus Non-credible Messages

Background and Objectives

The literature on consumer decision-making and aging suggests that older adults make less optimal buying decisions than younger adults do, partly because older adults tend to perceive salespersons' faces as more trustworthy. This study aims to directly test the difference in the effect of perceived facial trustworthiness on buying intention between younger and older adults. It also aims to reveal the underlying mechanisms of this age-related difference by testing whether a more trustworthy face disrupts older adults' attention toward credible (vs. non-credible) information to a higher degree compared with younger adults.

Research Design and Methods

A sample of 92 younger (aged 18-37 years) and 83 older (aged 60-82 years) adults viewed advertisements for 32 products while their eye movements were captured by an eye tracker to measure their fixation duration (as an indicator of attention). The advertisements varied in terms of the credibility of the content and the trustworthiness of the salesperson's face.

Results

Both age groups showed higher buying intentions for products featured in advertisements with higher credibility and facial trustworthiness. When facial trustworthiness was lower, both age groups showed greater attentional preferences for credible over non-credible content. However, this distinction in attention disappeared in older but not younger adults with an increase in facial trustworthiness.

Discussion and Implications

Our findings suggest that although facial trustworthiness generally increases buying intention of both younger and older adults, it only reduces older (but not younger) adults' attentional discrimination between credible and non-credible content. This paper offers a novel and promising mechanism for the increase in fraud vulnerability in late adulthood.

Effects of anger and sadness on attentional patterns in decision making: an eye-tracking study

Past research examining the effect of anger and sadness on decision making has associated anger with a relatively more heuristic decision-making approach. However, it is unclear whether angry and sad individuals differ while attending to decision-relevant information. An eye-tracking experiment (N=87) was conducted to examine the role of attention in links between emotion and decision making. Angry individuals looked more and earlier toward heuristic cues while making decisions, whereas sad individuals did not show such bias. Implications for designing persuasive messages and studying motivated visual processing were discussed.