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Charley Moore

Chronological feed of everything captured from Charley Moore.

article / 1d ago

Charley Moore - Principal Post

Charley Moore. Cues and Views. Legal tech entrepreneur Charley Moore, in brief. Date. July 15, 2025. charleymoore.com... /charleymoore.

article / 1d ago

Profile - Charley Moore

Charley Moore leads the artificial intelligence applications company Invictus AI and levels the playing field for access to AI agents that autonomously complete ...

article / 1d ago

Charley Moore

Charley Moore helped usher in a new era of legal accessibility, democratizing the law for those with limited funds and previously restricted legal options.

article / 1d ago

Charley Moore - Charley Moore

An innovative business leader based in San Francisco, Charley Moore is the founder and chief executive officer of the artificial intelligence applications ...

paper / 1d ago

New Normal in higher education for the post-COVID-19 world: Reimagining and reexamining factors for student success in online learning

As the novel coronavirus began to rapidly spread worldwide in March 2020, emergency transitions to the remote education processes were adopted in all institutions so as not to interrupt students’ learning. In this study, we intended to investigate to what extent do factors of online course design and student learning impact students’ success after online student characteristics are controlled. Online survey data were collected from 182 undergraduate and graduate students enrolled in at least one fully online course(s). The results revealed that a student’s online learning experience was a critical factor in determining the students’ attitudes when facing future online courses that were diverse and required autonomy, as well as the student’s ability to adapt to challenges from online courses that might utilize multiple information and communication technology (ICT) tools. Moreover, time management, course design/structure and quality facilitation, and emotional presence were consistently found to be significant determinants of student’s online learning success.

paper / 1d ago

Eyes don't lie: Eye tracking reveals whether an eyewitness saw the crime.

Past research has suggested that eye movements can be used to uncover perpetrators of a crime to some extent (around 65 % accuracy). We extended this work to examine whether similar or better results could be obtained for eyewitnesses by employing a data-driven eye-tracking approach. We expect that participants who saw the crime before: (1) look more at where the crime happened, (2) differ in the frame-by-frame viewing location, and (3) differ in the frame-by-frame variability in viewing location, compared to non-exposed participants when viewing the now-empty crime scene. Machine learning was used to classify the eye movements of exposed participants (who had seen the knife crime the day before, n = 34) and non-exposed participants (who had not seen the crime before, n = 25) while both groups viewed a video of the now-empty crime scene. Eye-tracking showed that participants who saw the crime previously were more consistent in their viewing patterns and looked more at the perpetrator regions when viewing the same, but empty, crime scene. Fixated regions predicted group membership with moderate accuracy (AUC = 0.758), but the consistency in viewing patterns led to very good classification of observers into exposed and non-exposed participants (AUC = 0.898), although some group differences remained while and after viewing the crime. These results suggest that eye movement patterns can be primed by previous observations, persisting after two days. While currently theoretical, these results may be developed as an implicit measure for detecting previous crime scene exposure through visual attention patterns.