The new technologies in personality assessment: A review.

Abstract

This article reviews various new approaches to assessing personality. They are divided into five areas: big data, wearable technology, gamification, video-résumés, and automated personality testing. These are briefly described and the available evidence for their psychometric properties considered. At this stage there is more absence of evidence of the psychometric properties of these new approaches than evidence of absence of their validity. There is limited, but growing, research on each of these methods that may offer new and improved ways of assessing personality. Test publishers and consultants report that their clients, interested in assessment, are eager to exploit the new technologies irrespective of there being good evidence of their reliability and validity.

Recruiting, selecting, retaining, and monitoring successful investment managers: A review of a scattered literature

“…With this in mind, the focus associated with selecting an IM should be on matching IM trait characteristics to the needs of clients and current market conditions. Current developments in assessment through Big Data may also be useful here (Ihsan & Furnham, 2018). Thus, accessing data from the web and looking at an individual's business and personal network and communication history could yield important additional data to improve selection.…”

Dissemination and Implementation of THK-ANEKA and SAW-Based Stake Model Evaluation Website

“…Item-20 was about the website accuracy in calculating the SAW method and showed the right recommendations. This research had succeeded in being a solution to the limitations of Ihsan and Furnham"s research [21]; Boitshwarelo, Reedy, and Billany"s research [22]; Kyllonen and Kell"s research [23]; Mariš"s research [24]; and Elmahdi, Al-Hattami, and Fawzi"s research [25]. The solution was the Stake model evaluation website implementation at Vocational Schools of IT in Bali.…”

“…Several previous studies had provided a stimulus and effect for the realization of this research. It was like the research conducted in 2018 by Ihsan and Furnham [21], which www.ijacsa.thesai.org showed the existence of several technologies that can be used as a source for assessing personality. Some of the technologies referred to included: social media, wearable technology, mobile phone, gamification, video resume, and automated personality testing.…”

Bringing Back the Person into Behavioural Personality Science Using Big Data

“…These developments offer new possibilities for experience sampling methods (ESMs) that are suitable for implementing an idiographic approach, and contribute to identifying patterns of behaviour within an individual over time and within contexts (Conner, Tennen, Fleeson, & Barrett, 2009). In addition, Ihsan and Furnham (2018) expect the Internet of Things to lead to increased amounts of data gathered from individuals or households (Atzori, Iera, & Morabito, 2014). As many as 50 billion items are expected to be connected to the Internet of Things by 2020, making it a challenging task to process, mine and analyse this large amount of data (Mahendra, Kishore, & Prathima, 2019).…”

“…Even though it is not solely the younger generation that uses social media, there still is the risk of Big Data research with ‘modern’ technology is overly focused on young samples. In the same line, other groups may be underrepresented in social media data: rural or low‐income‐area residences, residences in developing countries and (digitally) illiterate groups are at risk of being overlooked in (online) Big Data research (Ihsan & Furnham, 2018; Sprague, Ester, & Serences, 2014; Wenzel & Van Quaquebeke, 2018). Additionally, political orientations, technological attitudes and religious beliefs (Hargittai & Hinnant, 2008) might explain why some ‘people may not engage in activities that ultimately produce Big Data’ (Wenzel & Van Quaquebeke, 2018, p. 6).…”