11 papers · ranked by Valyu relevance
Amber W. Lockrow, Roni Setton, Karen A.P. Spreng, Signy Sheldon + 2 more
Autobiographical memory (AM) involves a rich phenomenological re-experiencing of a spatio-temporal event from the past, which is challenging to objectively quantify. The Autobiographical Interview (AI; Levine et al., 2002, Psychology & Aging) is a manualized performance-based assessment designed to quantify episodic…
Priyanka Bhutada, Nitin Goyal, Tatsam K. Lakhankiya, Sai D. Narahari + 8 more
Artificial Intelligence (AI) frameworks for automating scientific research have shown strong performance on benchmarks, but their utility for real-world industrial research remains insufficiently characterized. Extending the analysis presented in the first paper of this series, we evaluated the same five advanced AI…
Mats Tveter, Thomas Tveitstøl, Christoffer Hatlestad-Hall, Hugo L. Hammer + 1 more
As artificial intelligence (AI) is increasingly integrated into medical diagnostics, it is essential that predictive models provide not only accurate outputs but also reliable estimates of uncertainty. In clinical applications, where decisions have significant consequences, understanding the confidence behind each…
Mohammed O. Ahmed, Sahil A. Amale, Rhythm D. Bhavsar, Pratham Chopra + 18 more
Artificial Intelligence (AI) frameworks for automating scientific research have shown strong performance on benchmarks, but their capacity to routinely reproduce results from multiple real-life published studies remains largely untested. We evaluated five advanced AI research frameworks (Kosmos, K-Dense, ToolUniverse…
Keiji Ota, Anthony Ciston, Patrick Haggard, Thibault Gajdos Preuss + 1 more
A key challenge in today’s fast-paced digital world is to integrate information from various sources, which differ in their reliability. Yet, little is known about how explicit probabilistic information on the likelihood of a source to provide correct information is used in decision-making. Here, we investigated how…
Keiji Ota, Anthony Ciston, Patrick Haggard, Thibault Gajdos Preuss + 1 more
A key challenge in today’s fast-paced digital world is to integrate information from various sources, which differ in their reliability. Yet, little is known about how explicit probabilistic information about the likelihood that a source provides correct information is used in decision-making. Here, we investigated how…
Granville J. Matheson
Positron emission tomography (PET), along with many other fields of clinical research, is both timeconsuming and expensive, and recruitable patients can be scarce. These constraints limit the possibility of large-sample experimental designs, and often lead to statistically underpowered studies. This problem is…
Chandra Sripada, Mike Angstadt, Saige Rutherford, Aman Taxali
Test-retest reliability is critical for individual differences research. Thus, recent reports that found low test-retest reliability in fMRI have raised concern among researchers who aim to use brain imaging to predict psychologically- and clinically-important differences across people. These previous studies, however…
Luisa Roeder, Pamela Hoyte, Graham Kerr, Peter Bruza + 1 more
This study provides an integrated electrophysiological and behavioral account of the neuro-cognitive markers underlying trust evolution during human interaction with artificial intelligence (AI). Trust is essential for effective collaboration and plays a key role in realizing the benefits of human–AI teaming in…
Eric W. Bridgeford, Shangsi Wang, Zhi Yang, Zeyi Wang + 12 more
Reproducibility, the ability to replicate analytical findings, is a prerequisite for both scientific discovery and clinical utility. Troublingly, we are in the midst of a reproducibility crisis, in which many investigations fail to replicate. Although many believe that these failings are due to misunderstanding or…
Veronica Dudarev, Oswald Barral, Chuxuan Zhang, Guy Davis + 1 more
Wearable sensors are quickly making their way into psychophysiological research, as they allow collecting longitudinal and ecologically valid data. The present tutorial considers fidelity of physiological measurement with wearable sensors, focusing on reliability. We elaborate why ensuring reliability for wearables is…