Model Performance for Visual Attention in Real 3D Color Scenes

Predictors of Purchasing a Hearing Aid After an Evaluation Period: A Prospective Study in Dutch Older Hearing Aid Candidates

American Journal of Audiology ◽

10.1044/2019_aja-heal18-18-0163 ◽

2019 ◽

Vol 28 (3S) ◽

pp. 802-805 ◽

Cited By ~ 1

Author(s):

Marieke Pronk ◽

Janine F. J. Meijerink ◽

Sophia E. Kramer ◽

Martijn W. Heymans ◽

Jana Besser

Keyword(s):

Help Seeking ◽

Hearing Aid ◽

Model Performance ◽

Area Under The Curve ◽

Secondary Data ◽

Support Program ◽

Evaluation Period ◽

A Prospective Study ◽

Study Participants ◽

Baseline Covariates

Purpose The current study aimed to identify factors that distinguish between older (50+ years) hearing aid (HA) candidates who do and do not purchase HAs after having gone through an HA evaluation period (HAEP). Method Secondary data analysis of the SUpport PRogram trial was performed ( n = 267 older, 1st-time HA candidates). All SUpport PRogram participants started an HAEP shortly after study enrollment. Decision to purchase an HA by the end of the HAEP was the outcome of interest of the current study. Participants' baseline covariates (22 in total) were included as candidate predictors. Multivariable logistic regression modeling (backward selection and reclassification tables) was used. Results Of all candidate predictors, only pure-tone average (average of 1, 2, and 4 kHz) hearing loss emerged as a significant predictor (odds ratio = 1.03, 95% confidence interval [1.03, 1.17]). Model performance was weak (Nagelkerke R 2 = .04, area under the curve = 0.61). Conclusions These data suggest that, once HA candidates have decided to enter an HAEP, factors measured early in the help-seeking journey do not predict well who will and will not purchase an HA. Instead, factors that act during the HAEP may hold this predictive value. This should be examined.

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Visual Spatial Attention in Migraine Sufferers in Postictal and Interictal Phases: An Event-Related Potential Study

Journal of Psychophysiology ◽

10.1027//0269-8803.15.1.22 ◽

2001 ◽

Vol 15 (1) ◽

pp. 22-34 ◽

Cited By ~ 2

Author(s):

D.H. de Koning ◽

J.C. Woestenburg ◽

M. Elton

Keyword(s):

Cerebral Cortex ◽

Visual Attention ◽

Migraine Attack ◽

Spatial Attention ◽

Event Related Potential ◽

Significant Enhancement ◽

Pathophysiological Mechanism ◽

Attention Task ◽

Visual Spatial Attention ◽

Visual Spatial

Migraineurs with and without aura (MWAs and MWOAs) as well as controls were measured twice with an interval of 7 days. The first session of recordings and tests for migraineurs was held about 7 hours after a migraine attack. We hypothesized that electrophysiological changes in the posterior cerebral cortex related to visual spatial attention are influenced by the level of arousal in migraineurs with aura, and that this varies over the course of time. ERPs related to the active visual attention task manifested significant differences between controls and both types of migraine sufferers for the N200, suggesting a common pathophysiological mechanism for migraineurs. Furthermore, migraineurs without aura (MWOAs) showed a significant enhancement for the N200 at the second session, indicating the relevance of time of measurement within migraine studies. Finally, migraineurs with aura (MWAs) showed significantly enhanced P240 and P300 components at central and parietal cortical sites compared to MWOAs and controls, which seemed to be maintained over both sessions and could be indicative of increased noradrenergic activity in MWAs.

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Constructing and Deconstructing Concepts

Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie) ◽

10.1027/1618-3169/a000337 ◽

2016 ◽

Vol 63 (5) ◽

pp. 249-262 ◽

Cited By ~ 2

Author(s):

Charles A. Doan ◽

Ronaldo Vigo

Keyword(s):

Information Theory ◽

Model Performance ◽

Unsupervised Classification ◽

Family Resemblance ◽

Category Membership ◽

Formal Models ◽

Human Beings ◽

One Dimensional ◽

Relational Patterns ◽

Optimal Classification

Abstract. Several empirical investigations have explored whether observers prefer to sort sets of multidimensional stimuli into groups by employing one-dimensional or family-resemblance strategies. Although one-dimensional sorting strategies have been the prevalent finding for these unsupervised classification paradigms, several researchers have provided evidence that the choice of strategy may depend on the particular demands of the task. To account for this disparity, we propose that observers extract relational patterns from stimulus sets that facilitate the development of optimal classification strategies for relegating category membership. We conducted a novel constrained categorization experiment to empirically test this hypothesis by instructing participants to either add or remove objects from presented categorical stimuli. We employed generalized representational information theory (GRIT; Vigo, 2011b , 2013a , 2014 ) and its associated formal models to predict and explain how human beings chose to modify these categorical stimuli. Additionally, we compared model performance to predictions made by a leading prototypicality measure in the literature.

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