An Analysis of the Time Course of Lexical Processing During Reading

Reingold, Reichle, Glaholt, and Sheridan (2012) reported a gaze‐contingent eye‐movement experiment in which survival‐curve analyses were used to examine the effects of word frequency, the availability of parafoveal preview, and initial fixation location on the time course of lexical processing. The key results of these analyses suggest that lexical processing begins very rapidly (after approximately 120 ms) and is supported by substantial parafoveal processing (more than 100 ms). Because it is not immediately obvious that these results are congruent with the theoretical assumption that words are processed and identified in a strictly serial manner, we attempted to simulate the experiment using the E‐Z Reader model of eye‐movement control (Reichle, 2011). These simulations were largely consistent with the empirical results, suggesting that parafoveal processing does play an important functional role by allowing lexical processing to occur rapidly enough to mediate direct control over when the eyes move during reading.     

Functional Equivalence of Sleep Loss and Time on Task Effects in Sustained Attention

Research on sleep loss and vigilance both focus on declines in cognitive performance, but theoretical accounts have developed largely in parallel in these two areas. In addition, computational instantiations of theoretical accounts are rare. The current work uses computational modeling to explore whether the same mechanisms can account for the effects of both sleep loss and time on task on performance. A classic task used in the sleep deprivation literature, the Psychomotor Vigilance Test (PVT), was extended from the typical 10‐min duration to 35 min, to make the task similar in duration to traditional vigilance tasks. A computational cognitive model demonstrated that the effects of time on task in the PVT were equivalent to those observed with sleep loss. Subsequently, the same mechanisms were applied to a more traditional vigilance task—the Mackworth Clock Task—providing a good fit to existing data. This supports the hypothesis that these different types of fatigue may produce functionally equivalent declines in performance.     

Échelle de temporalité : validation française d’une version courte de la Zimbardo Time Perspective Inventory (ZTPI)

Lewin (1951, p. 75) defined time perspective as the “totality of the individual's view of his psychological future and psychological past existing at a given time”. Indeed, time perspective is considered to guide behaviors and participate in the construction of personal identity. The Zimbardo Time Perspective Inventory (ZTPI) was constructed by Zimbardo and Boyd (1999) to measure the five dimensions of time perspective (Past-Negative, Past-Positive, Present-Hedonistic, Present-Fatalistic and Future scales) and contained fifty-six items. The ZTPI was validated in more than twenty countries, as well in France (Apostolidis and Fieulaine, 2004) and a short version (15-25 items) was also studied in numerous cultural settings like in USA, Australia and various European countries. Nevertheless, the short version of the ZTPI has never been validated in French. The aim of this study is to validate a brief French measure of the ZTPI (Zimbardo and Boyd, 1999) in order to apply it to adults of all ages. Based on the long ZTPI (fifty-four items) validated by Apostolidis and Fieulaine (2004), we tested a version containing fifteen items, the ZTPI-15, among 466 adults (18-98 years). The exploratory analysis revealed a factorial structure representing five factors comprising three items for each scale. The model was tested through a confirmatory factorial analysis, showing that the ZTPI-15 fit indices were satisfactory (χ²/dl = 2.58, RMSEA =.066, CFI = .90, AGFI =.90, RMSR = .067). Internal consistency and test-retest reliability was verified. Correlations between mean scores of the five factors showed relationships. Present-Fatalistic was related to Past-Negative (r =.23) and to Future (r = −.20), whereas a correlation between Past-Negative and Future (r = −.22) was demonstrated. Moreover, Future related to Past-Positive (r =.12). Age was associated to all scales of the ZTPI-15 and the strongest correlation was to Present-Hedonistic (r = −.31). The comparison between 253 young adults (M = 22.5 years) and 160 older adults (M = 73.3 years) showed that the older were less oriented to Past-Negative and Present-Hedonistic but more to Past-Positive, Present-Fatalistic and Future. Furthermore, educational level was correlated to Fatalistic-Present (r = −.28). The validity of the ZTPI-15 was also confirmed with the scores of anxiety and depression and with the Self-Esteem Scale: individuals with high score of anxiety were oriented to Past-Negative (r = .34) and those with high score of depression were oriented to past-Negative (r = .27) and Fatalistic-Present (r = .27). Finally, individuals with low self-esteem were strongly oriented to Past-Negative (r = −.45) and Present-Fatalistic (r = −.27), and individuals with high self-esteem to Future (r = .28).     

Impact of time pressure on acceleration behavior and crossing decision at the onset of yellow signal

This study investigates acceleration behavior and crossing decision of the drivers under increasing time pressure driving conditions. A typical urban route was designed in a fixed-base driving simulator consisting of four signalized intersections with varying time to stop line (4 s and 6 s) and maneuver type (right-turn and go-through). 97 participants’ data were obtained under No Time Pressure (NTP), Low Time Pressure (LTP), and High Time Pressure (HTP) driving conditions. The acceleration behavior was examined at the onset of yellow signal in four ways: continuous deceleration, acceleration-deceleration, deceleration-acceleration, and continuous acceleration. A random forest model was used to build an acceleration behavior prediction model for identifying the significant explanatory variables based on variable importance ranking. Further, a Mixed Effects Multinomial Logit (MEML) model was developed using the explanatory variables obtained from a random forest model. Additionally, a generalized linear mixed model was incorporated for estimating the likelihood of crossing an intersection by considering all the explanatory variables. A MEML model result revealed that the odds of adopting acceleration-deceleration, deceleration-acceleration, and continuous acceleration instead of continuous deceleration increased by 63 %, 123 %, and 77 %, respectively under HTP driving conditions. Moreover, the likelihood of crossing a signalized intersection increased by 2.73 times and 4.26 times when the drivers were under LTP and HTP driving conditions, respectively as compared to NTP driving condition. Apart from this, time to stop line (reference: 6 s) and age showed negative association with crossing probability. Overall, the findings from this study revealed that drivers altered their acceleration behavior for executing risky driving decisions under increasing time pressure driving conditions.     

Feedback frequency of graphical countdown timers affects pedestrian estimated waiting time at red lights

Graphical countdown timers (similar to a progress bar) have the potential to shorten pedestrians’ perceived waiting time at the red light. Based on the findings from human-computer interaction (HCI) and time estimation theories, the potential may be affected by feedback frequency. This study tested how the feedback frequency of countdown progress bar in traffic light influenced time estimation in a field experiment, and further explored its mechanism in a laboratory experiment. In both experiments, participants estimated various durations (30 s, 45 s, 60 s) under three levels of feedback frequency: low (0.5 Hz), medium (1 Hz), and high (2 Hz). The results showed that although waiting time was underestimated in all conditions, lower feedback frequency led to shorter estimated duration, with slight changes in different contexts. In the traffic context, the effect of feedback frequency was comparable across different countdown duration, but it became stronger at longer countdown duration in the non-traffic context. Overall, the effect of feedback frequency was accompanied by changes in neither arousal level (measured by the subjective scale and physiological indices) nor internal clock speed, which are two critical determinants of time perception. The findings have practical implications on the display design of red light and theoretical implications on time estimation processes.     

Exploring behavioral validity of driving simulator under time pressure driving conditions of professional drivers

Driving simulators have become an important tool in human factors research, given that they are appropriately validated. Therefore, this study aims to explore the behavioral (absolute and relative) validity of a fixed-base driving simulator by analyzing different driving behavior measures such as speed, longitudinal acceleration, lateral acceleration, and brake pedal force. Thirty professional drivers participated in the experiment and the data was collected in real and simulated worlds under No Time Pressure (NTP) and Time Pressure (TP) driving conditions. Initially, comparative analyses were conducted on different driving behavior measures using Wilcoxon-signed rank test to examine absolute validity of the driving simulator. Finally, Generalized Linear Mixed (GLM) models were developed for computing the effective distance between real and simulated worlds by quantifying the parameters and for establishing relative validity. In general, the continuous profiles of driving behavior measures followed similar trends in real and simulated worlds and comparative analyses indicated relative validity of the driving simulator. The GLM models showed significant interaction effect of driving environments (real-world and simulated world) and driving conditions (NTP and TP) where high driving speed, high brake pedal force, and low lateral acceleration were observed in simulated world under TP driving condition than real-world under TP driving condition. Overall, the statistical analyses showed qualitative correspondence (relative validity) of the driving behavior measures in between real and simulated worlds. The findings from the current study showed expediency of the driving simulator and its effectiveness in conducting research on human factors and driver safety.     

Time Will Fly During Future Fun (But Drag Until Then)

Consumers’ lives are filled with scheduled events—both positive and negative. The current research examines how the valence of future scheduled events colors consumers’ temporal judgments in relation to such events: the time until their onset, the time during the events, and the time until their offset. We propose that the lay theory espousing “time flies when you’re having fun” leads consumers to judge that positive (vs. negative) future events of equivalent objective distance and duration are farther away and shorter. Operating in tandem, these elements produce two novel phenomena: (a) The end of positive and negative events can feel similarly far from the present, and (b) The beginning and end of positive events can feel similarly far from the present, whereby, in some circumstances, the event’s duration is effectively eliminated in the mind’s eye. Four studies provide evidence for these predictions, informing future directions regarding prospective time perception.     

Temporal context in speech processing and attentional stream selection: a behavioral and neural perspective

The human capacity for processing speech is remarkable, especially given that information in speech unfolds over multiple time scales concurrently. Similarly notable is our ability to filter out of extraneous sounds and focus our attention on one conversation, epitomized by the ‘Cocktail Party’ effect. Yet, the neural mechanisms underlying on-line speech decoding and attentional stream selection are not well understood. We review findings from behavioral and neurophysiological investigations that underscore the importance of the temporal structure of speech for achieving these perceptual feats. We discuss the hypothesis that entrainment of ambient neuronal oscillations to speech’s temporal structure, across multiple time-scales, serves to facilitate its decoding and underlies the selection of an attended speech stream over other competing input. In this regard, speech decoding and attentional stream selection are examples of ‘Active Sensing’, emphasizing an interaction between proactive and predictive top-down modulation of neuronal dynamics and bottom-up sensory input.     

Emotional time distortions: The fundamental role of arousal

An emotion-based lengthening effect on the perception of durations of emotional pictures has been assumed to result from an arousal-based mechanism, involving the activation of an internal clock system. The aim of this study was to systematically examine the arousal effect on time perception when different discrete emotions were considered. The participants were asked to verbally estimate the duration of emotional pictures from the International Affective Picture System (IAPS). The pictures varied either in arousal level, i.e., high/low-arousal, for the same discrete emotion (disgust or sadness) or in the depicted emotion, e.g., disgust/fear for pictures matched for arousal (high-arousal). The results systematically revealed a lengthening effect on the perception of the duration of the emotional compared to the neutral pictures and indicated that the magnitude of this effect increased with arousal level. Nevertheless, variations in time perception were observed for one and the same arousal level, with the duration of disgust-inducing pictures (e.g., body mutilation) being judged longer than that of fear-inducing pictures (e.g., snake). These results suggest that arousal is a fundamental mechanism mediating the effect of emotion on time perception. However, the effect cannot be reduced to arousal, since the impact of the content of pictures also plays a critical role.