Cognitive modeling of age‐related differences in information search behavior

Karanam, Saraschandra; Oostendorp, Herre van; Sanchiz, Mylène; Chevalier, Aline; Chin, Jessie; Fu, Wai-Tat

doi:10.1002/asi.23893

Cited by 6 publications

(1 citation statement)

References 43 publications

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“…The majority of research on IT adoption among aging populations primarily focuses on the perspectives of processing speed theory and resource theory. Previous studies have demonstrated that compared to younger generations, older adults exhibit reduced efficiency in cognitive functions such as memory retention, attention span, problem-solving abilities, comprehension skills, and decision-making capabilities (Phillips and Sternthal, 1977; Ghasemaghaei et al ., 2019; Karanam et al ., 2017; Zhang and Li, 2017). Hence, senior-age employees may encounter challenges when performing ICT-enabled tasks due to a decline in information-processing speed (Tams, 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

Developing urban infrastructure constructions for increasing e-commerce sales: the moderating roles of aging population

Shou,

Jia,

2024

IMDS

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PurposeThe aging population, a higher proportion of older adults (aged 65+), is considered a global and severe problem, while the information systems (IS) literature on detecting the relationship between the aging population and the development of electronic commerce (e-commerce) is limited and insufficient. Hence, the main objective of this paper is to examine whether an aging population can moderate the effect of infrastructure constructions on e-commerce sales and whether an aging population can affect e-commerce sales.Design/methodology/approachTo investigate the relationship between the aging population and e-commerce sales, this study proposes two potential influential mechanisms: moderating the effects of infrastructure development on e-commerce sales and direct influence. Subsequently, a sample of 31 Chinese provinces from 2013 to 2019 is utilized to conduct regression analyses in order to examine these hypotheses.FindingsThe findings suggest that the development of urban transportation infrastructure and network constructions can significantly contribute to the enhancement of e-commerce sales, and the influence cannot be affected by aging population. Furthermore, it is noteworthy that an aging population can have a positive effect on e-commerce sales.Practical implicationsThe findings can inform future infrastructure constructions by assessing the potential of infrastructure projects to boost e-commerce sales and examining whether this effect varies in an aging population context.Originality/valueThe findings substantiate the pivotal role of older adults in the e-commerce industry. Moreover, the obtained results establish a positive relationship between an aging population and e-commerce sales, thereby offering diverse perspectives on existing theories.

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Section: Literature Reviewmentioning

confidence: 99%

Developing urban infrastructure constructions for increasing e-commerce sales: the moderating roles of aging population

Shou,

Jia,

2024

IMDS

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Associating cognitive abilities with naturalistic search behavior

Vuong,

Das,

Ruotsalo

2024

Asso for Info Science & Tech

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Differences in cognitive abilities affect search behaviors, but this has mostly been observed in laboratory experiments. There is limited research on how users search for information in real‐world, naturalistic settings and how real‐world search behaviors relate to cognitive abilities. In this study, we investigated a wide range of behavioral data captured from real‐life search tasks, their association with users' cognitive abilities, and the potential for automatically inferring cognitive abilities from these data. Furthermore, we aimed to determine the data quantity and monitoring duration needed to effectively estimate cognitive abilities from naturalistic behavior. Twenty individuals with βvarying cognitive abilities participated in the experiments in which their everyday search behavior was continuously recorded for 14 days. Their cognitive ability was evaluated through standard tests conducted individually. Data consisted of over 800 h of monitoring, including 2022 queries extracted from 1,442,447 screen frames and associated operating system logs. Using these data, naturalistic search behaviors were associated with cognitive abilities, and predictive models were trained. The results showed that lower selective attention was found to be associated with longer dwelling on selected search results. Faster psychomotor speed and higher fluid intelligence were found to be associated with a greater amount of text read on selected pages. Predictive models exhibited small error rates in predicting cognitive abilities.

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