Context Effects Research Articles

Divergent effects of listening demands and evaluative threat on listening effort in online and laboratory settings

ObjectiveListening effort (LE) varies as a function of listening demands, motivation and resource availability, among other things. Motivation is posited to have a greater influence on listening effort under high, compared to low, listening demands.MethodsTo test this prediction, we manipulated the listening demands of a speech recognition task using tone vocoders to create moderate and high listening demand conditions. We manipulated motivation using evaluative threat, i.e., informing participants that they must reach a particular “score” for their results to be usable. Resource availability was assessed by means of working memory span and included as a fixed effects predictor. Outcome measures were indices of LE, including reaction times (RTs), self-rated work and self-rated tiredness, in addition to task performance (correct response rates). Given the recent popularity of online studies, we also wanted to examine the effect of experimental context (online vs. laboratory) on the efficacy of manipulations of listening demands and motivation. We carried out two highly similar experiments with two groups of 37 young adults, a laboratory experiment and an online experiment. To make listening demands comparable between the two studies, vocoder settings had to differ. All results were analysed using linear mixed models.ResultsResults showed that under laboratory conditions, listening demands affected all outcomes, with significantly lower correct response rates, slower RTs and greater self-rated work with higher listening demands. In the online study, listening demands only affected RTs. In addition, motivation affected self-rated work. Resource availability was only a significant predictor for RTs in the online study.DiscussionThese results show that the influence of motivation and listening demands on LE depends on the type of outcome measures used and the experimental context. It may also depend on the exact vocoder settings. A controlled laboratory settings and/or particular vocoder settings may be necessary to observe all expected effects of listening demands and motivation.

6G Goal-Oriented Communications: How to Coexist with Legacy Systems?

6G will connect heterogeneous intelligent agents to make them natively operate complex cooperative tasks. When connecting intelligence, two main research questions arise to identify how artificial intelligence and machine learning models behave depending on (i) their input data quality, affected by errors induced by interference and additive noise during wireless communication; (ii) their contextual effectiveness and resilience to interpret and exploit the meaning behind the data. Both questions are within the realm of semantic and goal-oriented communications. With this paper, we investigate how to effectively share communication spectrum resources between a legacy communication system (i.e., data-oriented) and a new goal-oriented edge intelligence one. Specifically, we address the scenario of an enhanced Mobile Broadband (eMBB) service, i.e., a user uploading a video stream to a radio access point, interfering with an edge inference system, in which a user uploads images to a Mobile Edge Host that runs a classification task. Our objective is to achieve, through cooperation, the highest eMBB service data rate, subject to a targeted goal effectiveness of the edge inference service, namely the probability of confident inference on time. We first formalize a general definition of a goal in the context of wireless communications. This includes the goal effectiveness, (i.e., the goal achievability rate, or the probability of achieving the goal), as well as goal cost (i.e., the network resource consumption needed to achieve the goal with target effectiveness). We argue and show, through numerical evaluations, that communication reliability and goal effectiveness are not straightforwardly linked. Then, after a performance evaluation aiming to clarify the difference between communication performance and goal effectiveness, a long-term optimization problem is formulated and solved via Lyapunov stochastic network optimization tools to guarantee the desired target performance. Finally, our numerical results assess the advantages of the proposed optimization and the superiority of the goal-oriented strategy against baseline 5G-compliant legacy approaches, under both stationary and non-stationary communication (and computation) environments.

Subfield-specific interneuron circuits govern the hippocampal response to novelty in male mice

The hippocampus is the brain’s center for episodic memories. Its subregions, the dentate gyrus and CA1-3, are differentially involved in memory encoding and recall. Hippocampal principal cells represent episodic features like movement, space, and context, but less is known about GABAergic interneurons. Here, we performed two-photon calcium imaging of parvalbumin- and somatostatin-expressing interneurons in the dentate gyrus and CA1-3 of male mice exploring virtual environments. Parvalbumin-interneurons increased activity with running-speed and reduced it in novel environments. Somatostatin-interneurons in CA1-3 behaved similar to parvalbumin-expressing cells, but their dentate gyrus counterparts increased activity during rest and in novel environments. Congruently, chemogenetic silencing of dentate parvalbumin-interneurons had prominent effects in familiar contexts, while silencing somatostatin-expressing cells increased similarity of granule cell representations between novel and familiar environments. Our data indicate unique roles for parvalbumin- and somatostatin-positive interneurons in the dentate gyrus that are distinct from those in CA1-3 and may support routing of novel information.

Expressing the good in bad times: Examining whether and why positive expressivity in negative contexts affects romantic partners' responsive support provision.

Receiving high-quality, responsive support in times of distress is critical but difficult. In a theoretical review, we previously proposed a process model that explains why support-seekers' positive expressivity can elicit-but may sometimes suppress-supportive responses from partners (providers) within distress-related contexts. In the current work, we aimed to test direct and indirect pathways linking seeker's positive expressivity in negative disclosures to provider's support while addressing notable gaps in the existing literature. Studies considered seeker-expressed positivity as broad, unitary construct (Studies 1, 2, and 4) and explored different types of positivity (Studies 1, 3, and 4): partner-oriented positivity (e.g., gratitude), stressor-oriented positivity (e.g., optimism), and unspecified positivity (e.g., pleasant demeanor). In behavioral observation studies of romantic couples (Studies 1 and 4), seeker-expressed positivity in negative disclosures positively predicted provider responsiveness, even when controlling for seeker-expressed negativity and other plausible third variables. Online experiments with manipulations of seeker-expressed positivity (Studies 2 and 3) yielded causal evidence of positivity's direct support-eliciting effects. Considering positivity types, partner-oriented positivity and stressor-oriented positivity showed the most robust support-eliciting potential; unspecified positivity also appeared valuable in some contexts. Evidence for several of the model's indirect pathways emerged in correlational (Study 4) and experimental (Studies 2 and 3) work, providing insights into support-eliciting and support-suppressing mechanisms through which positivity operates. These findings underscore support-seekers' active role in obtaining support, highlight the value of positive expressivity for eliciting high-quality support, and lay the groundwork for further research on positive expressivity's effects in support-seeking contexts. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The Technology Acceptance Model and Hospitality and Tourism Consumers’ Intention to Use Mobile Technologies: Meta-Analysis and Structural Equation Modeling

What drives consumers to adopt mobile technologies has been a significant research topic in hospitality and tourism literature. The Technology Acceptance Model (TAM) has been widely adopted to examine this topic. Meta-analytic structural equation modeling (MASEM) was conducted to assess the efficacy of the TAM in estimating consumers’ intention to adopt these technologies in hospitality and tourism contexts. The moderating effects of cultural differences (Eastern vs. Western) and research contexts (hospitality vs. tourism) were also examined. Based on 33 individual samples ( N = 13,635), the results indicated that: “perceived usefulness” (PU) has the strongest impact, “perceived ease of use” (PEOU) has stronger effects on PU and attitude in the context of Eastern culture compared to Western culture, and the relationship between “attitude” and “intention” was stronger in the context of hospitality than in the context of tourism. Implications for hospitality and tourism researchers and practitioners are discussed based on these findings.

Socio-economic vulnerability and deaths of despair in Brazilian counties

Over the past few years, there has been a progressive increase in premature deaths attributable to suicide, drug overdose, and alcohol-related liver disease that impact life expectancy. Regarding the relationship with contextual effects, the evidence is developing, especially in countries with a peripheral economy, as is the case of Brazil. We carried out an analysis aimed at estimating the relationship between socioeconomic insecurity and deaths due to despair in Brazilian cities. We used 5,570 counties' data to create clusters concerning socioeconomic development and then analyzed age-adjusted mortality rates (ASMR) from each of them and compared them using the ANOVA test. Cluster analysis generated two groups of Brazilian municipalities. DoD rates are consistently higher in the group that experiences more deprivation. However, considering differences between 2010 and 2019, the increase in rates was higher in the group with less deprivation experience (48.82 % vs. 39.53 %) We verified an existing gap between the clusters before the beginning of economic stagnation in 2010 The gap between those two groups decreased from 20.58 % (p < 0.001) in 2010 to 14.03 % in 2019 (p = 0.034). The conjuncture of economic crises creates mortality differentials in certain population groups. Also, significant inequalities explain how causes of death from despair affect different subpopulations. Our first approach assessed this assumption, and we could check those differentials at an ecological level. Public policies should focus on reducing the difference in mortality from despair between higher and lower socioeconomic strata.

Musical tension is affected by metrical structure dynamically and hierarchically.

As the basis of musical emotions, dynamic tension experience is felt by listeners as music unfolds over time. The effects of musical harmonic and melodic structures on tension have been widely investigated, however, the potential roles of metrical structures in tension perception remain largely unexplored. This experiment examined how different metrical structures affect tension experience and explored the underlying neural activities. The electroencephalogram (EEG) was recorded and subjective tension was rated simultaneously while participants listened to music meter sequences. On large time scale of whole meter sequences, it was found that different overall tension and low-frequency (1 ~ 4Hz) steady-state evoked potentials were elicited by metrical structures with different periods of strong beats, and the higher overall tension was associated with metrical structure with the shorter intervals between strong beats. On small time scale of measures, dynamic tension fluctuations within measures was found to be associated with the periodic modulations of high-frequency (10 ~ 25Hz) neural activities. The comparisons between the same beats within measures and across different meters both on small and large time scales verified the contextual effects of meter on tension induced by beats. Our findings suggest that the overall tension is determined by temporal intervals between strong beats, and the dynamic tension experience may arise from cognitive processing of hierarchical temporal expectation and attention, which are discussed under the theoretical frameworks of metrical hierarchy, musical expectation and dynamic attention.

Emergent human-like covert attention in feedforward convolutional neural networks

Covert attention allows the selection of locations or features of the visual scene without moving the eyes. Cues and contexts predictive of a target's location orient covert attention and improve perceptual performance. The performance benefits are widely attributed to theories of covert attention as a limited resource, zoom, spotlight, or weighting of visual information. However, such concepts are difficult to map to neuronal populations. We show that a feedforward convolutional neural network (CNN) trained on images to optimize target detection accuracy and with no explicit incorporation of an attention mechanism, a limited resource, or feedback connections learns to utilize cues and contexts in the three most prominent covert attention tasks (Posner cueing, set size effects in search, and contextual cueing) and predicts the cue/context influences on human accuracy. The CNN's cueing/context effects generalize across network training schemes, to peripheral and central pre-cues, discrimination tasks, and reaction time measures, and critically do not vary with reductions in network resources (size). The CNN shows comparable cueing/context effects to a model that optimally uses image information to make decisions (Bayesian ideal observer) but generalizes these effects to cue instances unseen during training. Together, the findings suggest that human-like behavioral signatures of covert attention in the three landmark paradigms might be an emergent property of task accuracy optimization in neuronal populations without positing limited attentional resources. The findings might explain recent behavioral results showing cueing and context effects across a variety of simple organisms with no neocortex, from archerfish to fruit flies.

Can infrastructure, built environment, and geographic factor negate weather impact on Strava cyclists?

Cycling participation is context-sensitive and weather condition is reportedly a significant factor. How weather affects cyclists with different demographics, trip purposes, and in the context of cycling infrastructure, built environment and geographic factors is less well understood by existing literature. This paper applies autoregressive models to explain difference in Strava cycling volume from the same hour of the previous day as a function of change in weather conditions, and day of the week; the contextual effect of cycling infrastructure, built environment and geographic factors is accounted for using interaction terms. We use Strava crowdsourced cycling data in Sydney, Australia, as a case study; commute and leisure cyclists, male and female, young and older cyclists are modeled separately. We find weather conditions have a statistically significant effect on cycling participation; rain, rainfall in the last 2 hours and wind are general deterrents to cycling. Physically separated cycling lanes reduce the adverse effect of precipitation on leisure cyclists and male cyclists but have little effect in retaining commute cyclists and female cyclists. The adverse effect of precipitation and wind on commute cycling is amplified in areas with good access to jobs, possibly due to the availability of better alternative modes of transport. Inland locations generally attenuate effects of windy conditions, except for young adults. This paper sheds light on factors attenuating adverse weather effects on cycling participation and provides useful guidance for future cycling infrastructure.

Multiple timescales of temporal context in risky choice: Behavioral identification and relationships to physiological arousal.

Context-dependence is fundamental to risky monetary decision-making. A growing body of evidence suggests that temporal context, or recent events, alters risk-taking at a minimum of three timescales: immediate (e.g. trial-by-trial), neighborhood (e.g. a group of consecutive trials), and global (e.g. task-level). To examine context effects, we created a novel monetary choice set with intentional temporal structure in which option values shifted between multiple levels of value magnitude ("contexts") several times over the course of the task. This structure allowed us to examine whether effects of each timescale were simultaneously present in risky choice behavior and the potential mechanistic role of arousal, an established correlate of risk-taking, in context-dependency. We found that risk-taking was sensitive to immediate, neighborhood, and global timescales: risk-taking decreased following large (vs. small) outcome amounts, increased following large positive (but not negative) shifts in context, and increased when cumulative earnings exceeded expectations. We quantified arousal with skin conductance responses, which were related to the global timescale, increasing with cumulative earnings, suggesting that physiological arousal captures a task-level assessment of performance. Our results both replicate and extend prior research by demonstrating that risky decision-making is consistently dynamic at multiple timescales and that the role of arousal in risk-taking extends to some, but not all timescales of context-dependence.

The role of institutional contexts for social inequalities in study abroad intent and participation

We contribute to research on social inequalities in educational attainment by examining the role of institutional contexts for students’ study abroad (SA) intent and participation. To do so, we extend the individual-level rational choice model predicting SA intent and participation depending on students’ socioeconomic status (SES) into a multi-level model emphasizing the importance of context effects. We test our model based on unique micro-level student data, which we supplement with context data. Examining 18,510 students nested in 69 universities, we provide the first in-depth multi-level analyses of SA intent and participation of students from Japan. In line with findings from many Western countries, our results show that higher-SES students are more likely to (intend to) study abroad. Regarding the role of institutional contexts, we find that programs designed to improve SA opportunity structures hardly affect students’ SA intent but significantly positively affect SA participation above and beyond other university-level and student-level characteristics. Importantly, both lower- and higher-SES students benefit from favorable SA opportunity structures. These findings suggest that Japan’s recent push toward internationalization of higher education has created relevant SA opportunities for students from different social backgrounds. Still, higher-SES students are currently overrepresented among those studying abroad because they are more likely to select into universities offering favorable SA opportunity structures. Our analysis calls for more research combining individual-level with contextual-level theories and data to better understand the conditions shaping SES-specific SA intent and participation.

Manifestations of 21st Century Skills Development Under the SPRING Online Flipped Learning Model in a College Physical Education Course

&lt;p style="text-align: justify;"&gt;Flipped learning (FL) is one of the recent pedagogical models that seeks to promote student agency and hone 21st century skills for lifelong learning through its emphasis on collaboration, creativity, critical thinking, and autonomy. However, only some physical education (PE) classes globally have adopted this method and researched its effectiveness. Thus, this qualitative study discovered how the SPRING online FL model helped enhance the 21st century skills of college PE students. From the students’ responses in the questionnaire and the teacher-researchers observation notes, it was revealed that FL aids in the students’ 21st century skills as it allows the students to collaborate and improve their social skills; analyze people, tasks, and situations to create an output that is not only ingenuous and entertaining but beneficial to all; and study and master the skills independently at their own pace. Future studies can explore testing the SPRING model's effectiveness in younger students and other learning contexts.&lt;/p&gt;

Enhancing Transplant Awareness and Acceptance Through Targeting Knowledge Gaps and Common Misconceptions.

Introduction Organ transplantation is a critical intervention for patients with end-stage organ failure, but misconceptions and knowledge gaps often hinder organ donation. This study evaluates the acceptability and effectiveness of an organ donation campaign focusing on addressing knowledge gaps and misconceptions in Riyadh, Saudi Arabia. Methods A two-day awareness campaign was conducted in a shopping mall, featuring four stations providing information on various aspects of organ donation. Participants completed a self-administered, researcher-developed, questionnaire before and after the tour. Results Of the 201 participants, 167 completed the questionnaire (83% response rate). The majority (92.9%) reported learning new information and indicated that the knowledge improved their perspective on organ donation. A high percentage (93.5%) felt the campaign answered their questions, with 90.9% deciding to register as organ donors. Conclusion A knowledge-enhancing campaign can effectively improve public perception and promote awareness of organ donation and transplantation. However, the study is limited by its short timeframe, location, and subjective data. Future research should explore the impact of such campaigns on donor registrations and evaluate their effectiveness in different cultural contexts.

Bidialectal variety switching: the effects of language use and social contexts

While previous research shows that bilinguals' ability to mix and switch between two separate languages is influenced by both cross-language similarity and language use contexts, little attention has been paid to bidialectal populations. Given the linguistic and sociolinguistic differences between bilingualism and bidialectalism, it is thus unclear to what extent mechanisms underlying bidialectal variety switching resemble those underlying bilinguals. To investigate the effects of cross-variety phonological distance and variety use contexts on variety switching, we tested two groups of Chinese speakers in a bidialectal auditory word recognition task. Both groups speak a regional dialect (Chengdu Mandarin or Cantonese) as their native language and are also highly proficient in Standard Mandarin. Participants' language background and linguistic experience are collected by a language background questionnaire. Mixing and switching between two varieties are costly for bidialectal speakers in comprehension. Mixing costs can be attributed to variety switches instead of the mere presence of a mixed-variety context. While variety switch and mixing costs are not influenced by cross-variety phonological distance, they are modulated by variety dominance and habitual variety use contexts. This study highlights the similarities between bidialectals and bilinguals in language processing, as well as the significance of recognizing between- and within-group differences in conducting psycholinguistics research with multilingual populations.

Musical training is not associated with spectral context effects in instrument sound categorization.

Musicians display a variety of auditory perceptual benefits relative to people with little or no musical training; these benefits are collectively referred to as the "musician advantage." Importantly, musicians consistently outperform nonmusicians for tasks relating to pitch, but there are mixed reports as to musicians outperforming nonmusicians for timbre-related tasks. Due to their experience manipulating the timbre of their instrument or voice in performance, we hypothesized that musicians would be more sensitive to acoustic context effects stemming from the spectral changes in timbre across a musical context passage (played by a string quintet then filtered) and a target instrument sound (French horn or tenor saxophone; Experiment 1). Additionally, we investigated the role of a musician's primary instrument of instruction by recruiting French horn and tenor saxophone players to also complete this task (Experiment 2). Consistent with the musician advantage literature, musicians exhibited superior pitch discrimination to nonmusicians. Contrary to our main hypothesis, there was no difference between musicians and nonmusicians in how spectral context effects shaped instrument sound categorization. Thus, musicians may only outperform nonmusicians for some auditory skills relevant to music (e.g., pitch perception) but not others (e.g., timbre perception via spectral differences).

Examining behavioral aspect of urban context effect on residential building energy use in Seoul – linking urban walkability to energy

Recent studies show that urban contextual form can influence building energy use intensity (EUI). While many studies have focused on the thermal properties of buildings and their environment, human behavior, a key determinant of EUI, is also influenced by the contextual form. Urban walkability, a key measure of urban vitality, can encourage outdoor activity and thus alter occupant behavior and outsource energy demand. This study examines the behavioral aspect of the context effect on residential building EUI in Seoul. Summer electricity, winter gas, annual electricity, and annual gas EUIs are individually analyzed. Two sets of analyses are executed for each energy type. First, walkability is used as a simple explanatory variable in an ordinary least squares regression model. Second, walkability is used as a moderator for the socioeconomic parameters of occupant density, occupant age, and real estate price. The results suggest that an increase in walkability can significantly reduce residential electricity EUI, and walkability can modify the influence of occupant density and occupant age on electricity EUI. However, walkability is only a marginally significant predictor of residential gas EUI, and all interactions with socioeconomic variables are insignificant. These findings highlight the importance of walkability as a means of linking urban form and building energy.

Effects of congruent emotional contexts during encoding on recognition: An ERPs study.

Past research showed that emotional contexts can impair recognition memory for the target item. Given that item-context congruity may enhance recognition memory, the present study aims to examine the effect of the congruent emotional encoding contexts on recognition memory. Participants studied congruent word-picture pairs (e.g., the word "cow" - a picture describing a cow) and incongruent word-picture pairs (e.g., the word "cow" - a picture describing a goat) and, subsequently, were asked to report the nature of the picture (emotional or neutral). Behavioral results revealed that emotional contexts impaired source but not item recognition, with congruent word-context mitigating this impairment and enhancing item recognition. Neural results from ERPs and theta oscillations found the recollection process, as shown by the LPC old/new effect and theta oscillations, for both item and source recognition across emotional contexts, irrespective of congruity. Meanwhile, the familiarity process as indexed by the FN400 old/new effect was found only for item recognition in congruent emotional contexts. These findings suggest that the congruent relationship of item-context could mitigate the emotion-induced source memory impairment and enhance item memory, with neural results elucidating the memory processes involved in retrieval of emotional information. Specifically, while emotion-related information generally elicits the recollection-based memory process, only congruent emotional information elicits the familiarity-based process.

Abstract or concrete? The effects of language style and service context on continuous usage intention for AI voice assistants

The unprecedented growth in voice assistants (VAs) provided with artificial intelligence (AI) challenges managers aiming to harness various new technologies to enhance the competitiveness of their products. This article thus investigates how VAs can more effectively improve the user experience by focusing on the attributes of service contexts, matching a utilitarian-dominant (hedonic-dominant) context with concrete (abstract) language in VA–human interactions. Through such matching, VA companies can potentially create a beneficial congruity effect, leading to more favorable evaluations. The results of three studies therefore suggest that users prefer VAs with abstract language in a hedonic-dominant service context, but that VAs with concrete language are more competitive in a utilitarian-dominant service context. Furthermore, the perception of processing fluency mediates this effect. Accordingly, these findings provide a better understanding of AI–human interactions and open a straightforward path for managers or technology providers to enhance users’ continuous usage intention.

The effect of complex cognitive context on the dynamic stability during gait initiation in older women.

Changes in cognitive control are considered potential factors affecting voluntary motor movements during gait initiation (GI). Simulating environments with higher cognitive resource demands have an effect on the stability of GI task performance, which is of significant importance for assessing fall risk in the older adults and devising fall risk management measures in multiple environments. This study aims to reveal the influence of complex cognitive competitive environment with increased cognitive demands on the dynamic stability during GI in the older women. Twenty-three older females and twenty-three younger females performed walking tests under three conditions: voluntary initiation (SI), visual light reaction time task (LRT), and cognitive interference + visual light reaction time task (C + LRT). Eight cameras (Qualisys, Sweden, model: Oqus 600) and three force plates (Kistler, Switzerland, model: 9287C) are used to obtain kinematic and kinetic data. To recorde the trajectory of center of pressure (CoP) and the position of the foot placement, and compute the anterior-posterior (A-P) and medio-lateral (M-L) dynamic stability at the onset and end moments of the single-leg support by means of center of mass (CoM) and gait spatiotemporal parameters. Older women responded to the effect of complex environments involving cognitive competition on body stability by prolonging the lateral displacement time of the CoP during the anticipatory postural adjustments (APAs) phase, reducing step length and velocity, and increasing step width and foot inclination angle. Complex initiation environments lead to competition for cognitive resources in the brain, resulting in decreased stability of GI motor control in older adults. The higher the complexity of the cognitive resource demands environment, the lower the stability of GI in older adults, and the greater the effect on their M-L stability at the onset of stepping.

Hybridizing Geographically Weighted Regression and Multilevel Models: A New Approach to Capture Contextual Effects in Geographical Analyses

Multilevel models are one of the main statistical methods used in modeling contextual effects in social sciences. A common limitation of these methods is the use pre‐set boundaries—usually administrative units—to define contexts, when these boundaries do not always match up with the “true” causally relevant contexts that may affect the outcomes of interest. In this study applied to the obesity geography in the Paris area (France), we propose a new spatially explicit two‐step procedure to tackle this methodological issue. The first step consists in estimating a geographically weighted regression model, then using it to reveal and delineate relevant nonstationarity‐based data‐driven spatial contexts, and finally including them as a random effect into a random slope multilevel model. In applying this hybrid methodology for modeling body mass index within a sample of 9,089 French adults, we demonstrate that it outperforms administrative‐based multilevel models in terms of decreasing Akaike information criteria, and is better at accounting for contextual effects through intraclass correlation coefficient and increasing slope variance. We suggest that this procedure might be generalized to quantitative geographical analyses involving contextual effects.