Human and AI collaboration in the higher education environment: opportunities and concerns.

In service of the goal of examining how cognitive science can facilitate human-computer interactions in complex systems, we explore how cognitive psychology research might help educators better utilize artificial intelligence and AI supported tools as facilitatory to learning, rather than see these emerging technologies as a threat. We also aim to provide historical perspective, both on how automation and technology has generated unnecessary apprehension over time, and how generative AI technologies such as ChatGPT are a product of the discipline of cognitive science. We introduce a model for how higher education instruction can adapt to the age of AI by fully capitalizing on the role that metacognition knowledge and skills play in determining learning effectiveness. Finally, we urge educators to consider how AI can be seen as a critical collaborator to be utilized in our efforts to educate around the critical workforce skills of effective communication and collaboration.

The Self-perception of Text-message Dependency Scale (STDS): Psychometric update based on a United States sample.

BACKGROUND: Some have suggested that text messaging is an addictive behavior. However, this characterization is uncertain, partly due to lack of well-validated measures of text messaging attitudes and behaviors. One standard instrument for measuring text messaging attitudes and behaviors is the Self-perception of Text-message Dependency Scale (STDS), though the psychometric properties of this scale have only been examined with a sample of Japanese youth. OBJECTIVES: The primary objective of this study was to evaluate the STDS in the United States to determine its utility as a measure of text messaging dependence. We were interested in examining the factor structure and determining the extent to which this scale would correlate with two important outcome measures: motor vehicle accidents (MVAs) and moving violations. METHODS: We analyzed data from 468 adults (age 18-74; 274 women) recruited via Amazon's Mechanical Turk (mTurk) service. Participants completed the STDS and provided information about their driving-related incidents in the past year. RESULTS: First we performed a confirmatory factor analysis, which supported the instrument's original factor structure. Then we tested the relationship between scores on the STDS and two important variables, MVAs and moving violations. We found that the STDS significantly correlated with both MVAs and moving violations. CONCLUSION: The present study confirms that the STDS is a potentially useful instrument for studying texting dependence in the United States and with adults of all ages. The instrument may be particularly useful in predicting motor vehicle outcomes.

Small Screen Use and Driving Safety.

The increased availability of "small screens," wireless devices with Internet-enabled connections, and their associated applications has almost overnight changed the way that we interact with our phones. The current work outlines some of the aspects of this problem as it relates to the influence of small screens on driving safety. Small screens are highly compelling to drivers, both for the information they convey and because the ability to ignore them while driving is impaired by cognitive resources used by the driving task itself. However, much is unknown about why people make choices to multitask while driving. Given the safety risks, it is recommended that parents, the public, and regulators take a stand against the use of Internet-enabled small screens unrelated to driving when the vehicle is in motion.

Preventing distracted driving among college students: Addressing smartphone use.

Based on the National Highway Traffic Safety Association's (NHTSA) Report, fatalities due to distracted driving are on the rise and the highest proportion of fatalities by age group is the 20-29 year old category. To date little has been done to educate college students about the dangers of distracted driving and engage these students in promoting a safe driving culture. Intervening among college students has the potential for making real-time behavior change, can foster a lifetime of safe driving habits among these students, and can help contribute to a culture of safe driving that can be created and sustained through positive messages from peers. The goals of this study were to develop, implement and evaluate a distracted driving presentation for college students to change knowledge, attitude and behavior on distracted driving. A 30-min, multi-media presentation on distracted driving was presented to 19 colleges and universities, totaling 444 college students (mean age 23.7±7.0 years of age, 61% females, 39% males). Students completed three surveys: prior to the workshop (interview 1), immediately after the workshop (interview 2), and 3 months following the workshop (interview 3). We assessed changes between interview 1 and interview 2 and found 15 of the 15 attitude-knowledge based questions significantly improved after the course. In addition, we assessed changes from interviews 1 and 3, and found 11 of the 15 attitude-knowledge based questions maintained their significance. Responses to behavior related questions at three months were also compared to baseline, and significant improvements were found for 12 of the 14 questions. While this study was successful in improving the short-term attitude-knowledge and behaviors on distracted driving, work is needed to sustain (and evaluate) long-term effects.

Constructing a publically available distracted driving database and research tool.

BACKGROUND: The goal of the current work was to create a publicly available visualization tool of distracted driving research, the purpose of which is to allow the public and other stakeholders to empirically inform questions of their choice that may bear on policy discussions. METHODS: Fifty years of distracted driving research was used to design a comprehensive database of studies that evaluated the effects of distraction on driving performance. Distraction sources (e.g., texting, talking, visual distraction) and performance measures were defined, and the sample of studies were evaluated and categorized by their measures. RESULTS: The final product yielded 342 studies using various methodologies. Across all measures, 1297 found distractions degraded driving performance, 54 found distraction improved driving performance, and 257 found distraction had no effect on driving performance. An analysis of the most common phone distractions (texting and talking) showed that texting almost always results in degraded performance. Aggregate data reveal no difference in performance decrements for hand-held or hands-free phones even though single studies of those variables vary in their outcomes. CONCLUSIONS: This project illustrates how scientific research can be made publically available for use by a diverse audience of stakeholders. An important result of this project is that data aggregated along a simple set of characteristics such as whether or not performance is decreased, improved or not affected, can reveal trends in the data that are less clear from any individual study.

A strategically timed verbal task improves performance and neurophysiological alertness during fatiguing drives.

OBJECTIVE: The objective of this study was to investigate if a verbal task can improve alertness and if performance changes are associated with changes in alertness as measured by EEG. BACKGROUND: Previous research has shown that a secondary task can improve performance on a short, monotonous drive. The current work extends this by examining longer, fatiguing drives. The study also uses EEG to confirm that improved driving performance is concurrent with improved driver alertness. METHOD: A 90-min, monotonous simulator drive was used to place drivers in a fatigued state. Four secondary tasks were used: no verbal task, continuous verbal task, late verbal task, and a passive radio task. RESULTS: When engaged in a secondary verbal task at the end of the drive, drivers showed improved lane-keeping performance and had improvements in neurophysiological measures of alertness. CONCLUSION: A strategically timed concurrent task can improve performance even for fatiguing drives. APPLICATION: Secondary-task countermeasures may prove useful for enhancing driving performance across a range of driving conditions.

Creativity in the wild: improving creative reasoning through immersion in natural settings.

Adults and children are spending more time interacting with media and technology and less time participating in activities in nature. This life-style change clearly has ramifications for our physical well-being, but what impact does this change have on cognition? Higher order cognitive functions including selective attention, problem solving, inhibition, and multi-tasking are all heavily utilized in our modern technology-rich society. Attention Restoration Theory (ART) suggests that exposure to nature can restore prefrontal cortex-mediated executive processes such as these. Consistent with ART, research indicates that exposure to natural settings seems to replenish some, lower-level modules of the executive attentional system. However, the impact of nature on higher-level tasks such as creative problem solving has not been explored. Here we show that four days of immersion in nature, and the corresponding disconnection from multi-media and technology, increases performance on a creativity, problem-solving task by a full 50% in a group of naive hikers. Our results demonstrate that there is a cognitive advantage to be realized if we spend time immersed in a natural setting. We anticipate that this advantage comes from an increase in exposure to natural stimuli that are both emotionally positive and low-arousing and a corresponding decrease in exposure to attention demanding technology, which regularly requires that we attend to sudden events, switch amongst tasks, maintain task goals, and inhibit irrelevant actions or cognitions. A limitation of the current research is the inability to determine if the effects are due to an increased exposure to nature, a decreased exposure to technology, or to other factors associated with spending three days immersed in nature.

Stuck in the 70s: the role of social norms in distracted driving.

Successful campaigns to end distracted driving must understand prevailing social norms for behaviors such as texting and phoning while driving. The current work examined this issue by asking younger drivers to read car crash scenarios and rate the responsibility of the driver for the crash, and to levy fines and assign jail time, as a function of whether the driver was attentive, had been drinking, or was distracted by phoning or texting. In the first experiment, ratings were performed in the absence of injunctive norm information (laws against drunk and distracted driving). In the second experiment, injunctive norm information was included. Impaired drivers were viewed as more responsible in both experiments, with texting drivers viewed as the most responsible. However, drunk drivers received the most fines and jail time. When compared to data from the 1970s, the results show that anti-drunk driving campaigns have changed how younger drivers view drunk driving, but that norms have not yet changed for distracted driving, despite consistent results showing they know the risk of driving distracted. Implications for social norm distracted driving campaigns are discussed.

Talking and driving: applications of crossmodal action reveal a special role for spatial language.

Talking reduces attention resulting in real-world crash risks to drivers that talk on a phone and drive. Driving is a behavior that is very demanding on spatial attention, suggesting potentially large interference by spatial codes in language. The current study investigated how different types of verbal codes influence visual attention during dual-task performance. In two experiments, participants performed a spatial or non-spatial verbal task while simultaneously performing a visual attention task. The results showed a larger decrement to visual attention performance when participants were concurrently engaged in a spatial verbal task. The results of the second experiment isolated this effect to the right cerebral hemisphere, consistent with a role for shared right parietal resources. These results are consistent with the idea that processing codes are an important component of coordinating talking and driving but generally inconsistent with a broad class of bottleneck approaches that describes dual-task decrements but treats component tasks as cognitively equivalent.

A model of Beijing drivers' scrambling behaviors.

A major, but unstudied, cause of crashes in China is drivers that "scramble" to gain the right of way in violation of traffic regulations. The motivation of this study is to explore the features of drivers' scrambling behaviors and the attitudes and driving skills that influence them. In this study, we established a scrambling behavior scale, and developed a driving attitude scale and a driving skill scale using factor analysis of an Internet survey of 486 drivers in Beijing. A structural equation model of scrambling behavior toward cars and pedestrians/cyclists was developed with attitudes and skills as predictors of behavior. Skills and attitudes of approval toward violations of traffic rules did not predict scrambling behaviors, while the motivation for safety and attitudes against violating traffic rules led to reduced scrambling behaviors. The current work highlights this peculiar aspect of Chinese roads and suggests methods to reduce the behavior.

Potential benefits and costs of concurrent task engagement to maintain vigilance: a driving simulator investigation.

OBJECTIVE: The objective of this study was to investigate the nature of concurrent task interference during a vigilance task and to determine whether a concurrent task improves performance with decreased vigilance. BACKGROUND: Research has repeatedly shown that engaging in a cell phone conversation while driving increases the risk of getting into crashes. At the same time, it has also been found that task monotony could lead to an increase in crash risk. There is evidence that suggests that engaging in a concurrent task reduces the effects of monotony, leading to an improvement in vigilance task performance. METHOD: A monotonous drive in a driving simulator was used to investigate the effects of a concurrent verbal task. Three task conditions were used: no verbal task, continuous verbal task, and late verbal task. RESULTS: When engaged in a secondary verbal task, drivers showed improved lane-keeping performance and steering control when vigilance was lowest. CONCLUSION: A strategically placed concurrent task can improve performance when vigilance is at its lowest. APPLICATION: There is potential for the design of a countermeasure system that can be strategically activated by an automated system monitoring driver performance.

The choice to text and drive in younger drivers: behavior may shape attitude.

Following a previous study that reported a large number of young adult drivers text and drive, the current study investigated this behavior by looking at patterns of use and driver assessment of the risk of the behavior. The data from the current study converge with and extended the previous work showing 70% of the 348 young adult drivers surveyed report initiating texts while driving while higher numbers reply to texts (81%) and read texts (92%) while driving. Additional drivers also report doing these behaviors, but only while stopped in traffic, showing only 2% never text and drive under any circumstances. The drivers indicated that they perceived these behaviors to be very risky and riskier than talking on a cell phone while driving, but perception of risk was a very weak predictor of behavior (for initiating texts) or had no effect on texting (for replying or reading texts while driving). In addition, a factor analysis of the perception of road conditions while texting revealed that making the choice to engage in texting (initiating) led drivers to perceive road conditions as being safer than if they replied to a text or read a text, suggesting that choosing to engage in the behavior itself changes attitudes toward risk.

Aberrant driving behaviors: a study of drivers in Beijing.

The addition of massive numbers of new drivers with varied driving experience to roads in China suggests it is important to understand the nature of aberrant driving behaviors for this new set of drivers. A paper-based and an Internet survey were administered. Factor analysis produced a five-factor structure for each survey. The distinction between violations and errors indicated in previous studies was confirmed. The violations included emotional violations, risky violations and self-willed violations, and the errors included inexperience errors and distraction errors. In contrast to previous work, age was not found to be a good predictor of violations though driving experience was. Contrary to expectations, non-automotive (bicycle) roadway experience or level of driving training failed to predict poor driving behavior. On-road experience is the key to risk for China's drivers. Good agreement between the paper-based and Internet surveys indicate online surveys to be a feasible way to conduct research of driving behavior at low cost.

Perceptual load modulates object-based attention.

Two experimental series are reported using both reaction time (RT) and a data-limited perceptual report to examine the effects of perceptual load on object-based attention. Perceptual load was manipulated across 3 levels by increasing the complexity of perceptual judgments. Data from the RT-based experiments showed object-based effects when the target was near the cued location. Results from the data-limited procedure showed that, with low perceptual load, attention spread along the cued object, supporting an object-based attention account. As load increased, attention was constrained to object locations near the cue, but attention still favored the cued object, inconsistent with a scanning prioritization account of object-based attention effects. Furthermore, findings showed that perceptual load modulates object selection in a manner similar to spatial attention, suggesting that there might be a common process underlying object-based and spatial attention.

The effects of perception of risk and importance of answering and initiating a cellular phone call while driving.

Recent data suggest that laws banning cellular phone use while driving may not change use patterns, especially among young drivers with high rates of mobile phone adoption. We examined reasons younger drivers choose or do not choose to talk on a phone while driving among a sample of young drivers (n=276) with very high ownership of cellular phones (over 99%) and a very high use of cellular phones while driving (100% for those that were primary operators of an automobile). Respondents were surveyed for patterns of use, types of call, perceived risk, and motivations for use. The data were analyzed using structural equation modeling (SEM) to explore the relationships between perceived risk of the behavior, emotionality of the call, perceived importance of the call, and how often calls were initiated versus answered. The model suggests that even though people believe that talking on a cellular phone while driving is dangerous, they will tend to initiate a cellular conversation if they believe that the call is important.

Offset masking in a divided visual field study.

A problem in divided visual field studies (especially those using event-related potentials as a dependent measure) is the large number of horizontal eye movements participants make during experimental trials. Past attention research suggests that eye movements to lateralised targets should be significantly reduced using a dynamic, offset mask, causing a reduction in attentional capture. The current study attempted to replicate past divided visual field language studies using offset masking procedures. Using a basic offset procedure, eye movements were not reduced in Experiment 1. However, Experiment 2 did show a significant reduction in eye movements using a new dynamic offset masking procedure. Low accuracy rates were a concern throughout. In conclusion, horizontal eye movements can be reduced with a dynamic offset procedure but the low accuracy rates and the inconsistent behavioural findings throughout the study suggest that further study and refinement of the paradigm is needed.

A decrease in conjunction error rates across lags on a continuous recognition task: a robust pattern.

In four experiments, the lag retention interval from parent words (e.g., blackmail, jailbird) to a conjunction word (blackbird) was manipulated in a continuous recognition task. Alterations to the basic procedure of Jones and Atchley (2002) were employed in Experiments 1 and 2 to bolster recollection to reject conjunction lures, yet conjunction error rates still decreased across lags of 1 to 20 words. Experiment 3 and a multiexperiment analysis examined the increments of forgetting in familiarity across lags of 1-20 words. Finally, in Experiment 4, participants attempted to identify conjunction probes as "old", and the data were contrasted with those from a previous experiment (Jones & Atchley, 2002, Exp. 1), in which participants attempted not to identify conjunction probes as "old". In support of earlier findings, the decrease in familiarity across lags of 1-20 words appears robust, with a constant level of weak recollection occurring for parent words.

Feature and conjunction effects in recognition memory: toward specifying familiarity for compound words.

In three experiments, we evaluated potential sources of familiarity in the production of feature and conjunction errors with both word (Experiments 1 and 3) and nonword (Experiment 2) stimuli and related this work to various dual-process models of memory. The contributions of letter, syllable, lexical morpheme, and conceptual information were considered. Lexical morpheme information was consistently more potent than syllable information in leading to feature and conjunction errors across Experiments 1 and 2, and a word length explanation did not account for this consistent finding. In addition, there was no impact of conceptual information on these errors (Experiments 1-3). The results support a familiarity-based interpretation of feature and conjunction errors and a lexical morpheme basis for the familiarity in compound words. In order to be more comprehensive, memory models may need to account for a lexical morpheme source of familiarity.

Conjunction errors, recollection-based rejections, and forgetting in a continuous recognition task.

Six experiments investigated conjunction memory errors (e.g., falsely remembering blackbird after studying parent words blackmail and jailbird) in a continuous recognition procedure with a parent-conjunction lag manipulation. In 4 experiments (1A, 1B, 2A, and 2B) "recollect" judgments, which indexed recall of parent words, showed that participants can use recollection to prevent conjunction errors. "Recollect" judgments, as well as overt recall of parent words (in Experiments 2A and 2B), dropped sharply from a lag of 0 to 1 word, then stabilized from a lag of 1 to 20 words. Thus, the "recollect" responses and overt recall demonstrate a step function of forgetting over short intervals. These data generalized to cued recall in Experiments 3A and 3B with the first morpheme (e.g., black) as the cue, though recall conjunction errors occurred infrequently relative to recognition conjunction errors. Overall, the results support the idea that automatic and controlled processes contribute to memory performance.

The role of visual attention in predicting driving impairment in older adults.

This study evaluated the role of visual attention (as measured by the DriverScan change detection task and the Useful Field of View Test [UFOV]) in the prediction of driving impairment in 155 adults between the ages of 63 and 87. In contrast to previous research, participants were not oversampled for visual impairment or history of automobile accidents. Although a history of automobile accidents within the past 3 years could not be predicted using any variable, driving performance in a low-fidelity simulator could be significantly predicted by performance in the change detection task and by the divided and selection attention subtests of the UFOV in structural equation models. The sensitivity and specificity of each measure in identifying at-risk drivers were also evaluated with receiver operating characteristic curves.