Set Of Cues Research Articles

Musicality and Age Interaction in Tone Development.

Vocal pitch, which involves not only F0 but also multiple covarying acoustic cues is central to linguistic perception and production at various levels of prosodic structure. Recent studies on language development have shown that differences in learners' musicality affect the F0 cue development in perception of sentence-level intonation or in prosodic realization of focus. This study aims to contribute toward a fuller understanding of the effect of musicality on linguistic pitch development via a close investigation of the relationship between musicality, age, and lexical tone production covering both F0 and spectral cues in children. Forty-three native Mandarin-speaking children between the ages of 4 and 6 years are recruited to participate in both a semi-spontaneous tone production task and a musicality test. For each age (4, 5, and 6 years) and musicality (below or above the median score of each age group) group, the contrastivity of the four tones is evaluated by performing automatic tone classification using three sets of acoustic cues (F0, spectral cues, and both). It has been found that higher musicality is associated with higher contrastivity of the tones produced at the age of 4 and 5 years, but not at the age of 6 years. These results suggest that musicality promotes earlier development of tone production only in earlier stages of prosodic development; by the age of 6 years, the musicality advantage in tone production subsides.

Theory protection: Do humans protect existing associative links?

Theories of associative learning often propose that learning is proportional to prediction error, or the difference between expected events and those that occur. Spicer et al. (2020) suggested an alternative, that humans might instead selectively attribute surprising outcomes to cues that they are not confident about, to maintain cue-outcome associations about which they are more confident. Spicer et al. reported three predictive learning experiments, the results of which were consistent with their proposal ("theory protection") rather than a prediction error account (Rescorla, 2001). The four experiments reported here further test theory protection against a prediction error account. Experiments 3 and 4 also test the proposals of Holmes et al. (2019), who suggested a function mapping learning to performance that can explain Spicer et al.'s results using a prediction-error framework. In contrast to the previous study, these experiments were based on inhibition rather than excitation. Participants were trained with a set of cues (represented by letters), each of which was followed by the presence or absence of an outcome (represented by + or -). Following this, a cue that previously caused the outcome (A+) was placed in compound with another cue (B) with an ambiguous causal status (e.g., a novel cue in Experiment 1). This compound (AB-) did not cause the outcome. Participants always learned more about B in the second training phase, despite A always having the greater prediction error. In Experiments 3 and 4, a cue with no apparent prediction error was learned about more than a cue with a large prediction error. Experiment 4 tested participants' relative confidence about the causal status of cues A and B prior to the AB- stage, producing findings that are consistent with theory protection and inconsistent with the predictions of Rescorla, and Holmes et al. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Research on the Optimization of a Drilling Rock Breaking Method Based on Fuzzy Cluster Analysis

Improving drilling efficiency is the best way to reduce drilling costs and the choice of the drilling mode is instrumental in doing so. At present, however, a standard approach for the optimization of these processes does not exists yet. Through a comparative statistical analysis of the rock-breaking mechanisms and the characteristics of different drilling methods, this research proposes a set of cues to achieve this objective. Available statistical data are classified by means of a fuzzy cluster analysis according to the anti-drilling characteristic parameters of formation. The results show that different drilling methods rely on their own rock breaking mechanisms and have distinct characteristics. The rotary table drilling method is the most commonly used drilling mode, however, it displays some limitations with regard to deep wells, ultra-deep wells and difficult formations. The combined drilling method has the advantages of both the rotary table drilling and the down-hole power drilling modes. Polycrystalline diamond compact (PDC) drill bits can lead to good results for medium hardness and weakly abrasive formations. Underbalanced drilling for formations with high hardness and strong abrasiveness displays some limitations.

Navigation of micro-swimmers in steady flow: the importance of symmetries

Marine micro-organisms must cope with complex flow patterns and even turbulence as they navigate the ocean. To survive they must avoid predation and find efficient energy sources. A major difficulty in analysing possible survival strategies is that the time series of environmental cues in nonlinear flow is complex and that it depends on the decisions taken by the organism. One way of determining and evaluating optimal strategies is reinforcement learning. In a proof-of-principle study, Colabreseet al.(Phys. Rev. Lett., vol. 118, 2017, 158004) used this method to find out how a micro-swimmer in a vortex flow can navigate towards the surface as quickly as possible, given a fixed swimming speed. The swimmer measured its instantaneous swimming direction and the local flow vorticity in the laboratory frame, and reacted to these cues by swimming either left, right, up or down. However, usually a motile micro-organism measures the local flow rather than global information, and it can only react in relation to the local flow because, in general, it cannot access global information (such as up or down in the laboratory frame). Here we analyse optimal strategies with local signals and actions that do not refer to the laboratory frame. We demonstrate that symmetry breaking is required to find such strategies. Using reinforcement learning, we analyse the emerging strategies for different sets of environmental cues that micro-organisms are known to measure.

Acoustic signatures of communicative dimensions in codified mother-infant interactions.

Nursery rhymes, lullabies, or traditional stories are pieces of oral tradition that constitute an integral part of communication between caregivers and preverbal infants. Caregivers use a distinct acoustic style when singing or narrating to their infants. Unlike spontaneous infant-directed (ID) interactions, codified interactions benefit from highly stable acoustics due to their repetitive character. The aim of the study was to determine whether specific combinations of acoustic traits (i.e., vowel pitch, duration, spectral structure, and their variability) form characteristic "signatures" of different communicative dimensions during codified interactions, such as vocalization type, interactive stimulation, and infant-directedness. Bayesian analysis, applied to over 14 000 vowels from codified live interactions between mothers and their 6-months-old infants, showed that a few acoustic traits prominently characterize arousing vs calm interactions and sung vs spoken interactions. While pitch and duration and their variation played a prominent role in constituting these signatures, more linguistic aspects such as vowel clarity showed small or no effects. Infant-directedness was identifiable in a larger set of acoustic cues than the other dimensions. These findings provide insights into the functions of acoustic variation of ID communication and into the potential role of codified interactions for infants' learning about communicative intent and expressive forms typical of language and music.

Perception of indexical cues in speech by children and adults with and without dyslexia: Regional dialect and gender identification.

Auditory research in developmental dyslexia proposes that deficient auditory processing of speech underlies difficulties with reading and spelling. Focusing predominantly on phonological processing, studies have not yet addressed the role of the speaker-related (indexical) properties of speech that enable the formation of phonological representations. Here, we assess auditory processing of indexical characteristics cueing a speaker's regional dialect and gender to determine whether dyslexia constraints recognition of dialect features and voice gender. Adults and children aged 11-14 years with dyslexia and their age-matched controls responded to 360 unique sentences extracted from spontaneous conversations of 40 speakers. In addition to the original unprocessed speech, there were two focused filtered conditions (using lowpass filtering at 400 Hz and 8-channel noise vocoding) probing listeners' responses to segmental and prosodic cues. Compared with controls, both groups with dyslexia were significantly limited in their abilities to recognize dialect features from either set of cues. The results for gender suggest that their comparatively worse gender recognition in the noise-vocoded condition was possibly related to poor temporal resolution. We propose that the deficient processing of indexical cues by individuals with dyslexia originates in peripheral auditory processes, of which impaired processing of relevant temporal cues in amplitude envelope is a likely candidate.

A Corpus-Based Study of Linguistic Deception in Spanish

In the last decade, fields such as psychology and natural language processing have devoted considerable attention to the automatization of the process of deception detection, developing and employing a wide array of automated and computer-assisted methods for this purpose. Similarly, another emerging research area is focusing on computer-assisted deception detection using linguistics, with promising results. Accordingly, in the present article, the reader is firstly provided with an overall review of the state of the art of corpus-based research exploring linguistic cues to deception as well as an overview on several approaches to the study of deception and on previous research into its linguistic detection. In an effort to promote corpus-based research in this context, this study explores linguistic cues to deception in the Spanish written language with the aid of an automatic text classification tool, by means of an ad hoc corpus containing ground truth data. Interestingly, the key findings reveal that, although there is a set of linguistic cues which contributes to the global statistical classification model, there are some discursive differences across the subcorpora, yielding better classification results on the analysis conducted on the subcorpus containing emotionally loaded language.

Identifying the Russian voiceless non-palatalized fricatives /f/, /s/, and /ʃ/ from acoustic cues using machine learning.

This paper shows that machine learning techniques are very successful at classifying the Russian voiceless non-palatalized fricatives [f], [s], and [ʃ] using a small set of acoustic cues. From a data sample of 6320 tokens of read sentences produced by 40 participants, temporal and spectral measurements are extracted from the full sound, the noise duration, and the middle 30 ms windows. Furthermore, 13 mel-frequency cepstral coefficients (MFCCs) are computed from the middle 30 ms window. Classifiers based on single decision trees, random forests, support vector machines, and neural networks are trained and tested to distinguish between these three fricatives. The results demonstrate that, first, the three acoustic cue extraction techniques are similar in terms of classification accuracy (93% and 99%) but that the spectral measurements extracted from the full frication noise duration result in slightly better accuracy. Second, the center of gravity and the spectral spread are sufficient for the classification of [f], [s], and [ʃ] irrespective of contextual and speaker variation. Third, MFCCs show a marginally higher predictive power over spectral cues (<2%). This suggests that both sets of measures provide sufficient information for the classification of these fricatives and their choice depends on the particular research question or application.

Exploring phonetic cues to persuasive oral presentation: A study with British English speakers and English L2 learners

Persuasiveness in oral communication in English can be expressed with various vocal phonetic cues that may not be readily accessible to English second language (L2) learners whose native language may employ a different set of cues. With a goal to increase L2 learners’ perceived spoken confidence and persuasiveness, and obtain empirical evidence for phonetic adjustments that native English speakers make to influence listeners, the current study explored the use of consonant prolongation in stressed syllable onsets for emphasis by native British English speakers and English L2 learners. The native speakers’ durations of continuant consonants and voiceless stop consonant voice onset times (VOTs) in (1) neutrally-produced speech and (2) persuasively delivered motivational/shocking/emotional messages were compared to Latvian L2 English speakers’ productions. The results revealed that in persuasive speech, the British speakers’ consonantal durations, particularly those of continuants, got significantly longer relative to the vowels that followed them; for English L2 learners, the duration of consonants did not change as a factor of speech type. This is in line with our previous research with American English speakers and carries implications for L2 speech learning and teaching.

Biophysical matrix cues from the regenerating niche direct muscle stem cell fate in engineered microenvironments

Skeletal muscle stem cells (MuSCs) are essential for efficacious muscle repair, making MuSCs promising therapeutic targets for tissue engineering and regenerative medicine. MuSCs are presented with a diverse and temporally defined set of cues from their microenvironment during regeneration that direct stem cell expansion, differentiation, and return to quiescence. Understanding the complex interplay among these biophysical and biochemical cues is necessary to develop therapies targeting or employing MuSCs. To probe the role of mechanical cues presented by the extracellular matrix, we leverage chemically defined hydrogel substrates with controllable stiffness and adhesive ligand composition to characterize the MuSC response to matrix cues presented during early and late phases of regeneration. We demonstrate that relatively soft hydrogels recapitulating healthy muscle stiffness promote MuSC activation and expansion, while relatively stiff hydrogels impair MuSC proliferation and arrest myogenic progression. These effects are seen on soft and stiff hydrogels presenting laminin-111 and exacerbated on hydrogels presenting RGD adhesive peptides. Soluble factors present in the MuSC niche during different phases of regeneration, prostaglandin E2 and oncostatin M, synergize with matrix-presented cues to enhance stem cell expansion on soft substrates and block myogenic progression on stiff substrates. To determine if temporally varied matrix stiffness reminiscent of the regenerating microenvironment alters MuSC fate, we developed a photoresponsive hydrogel system with accelerated reaction kinetics that can be rapidly softened on demand. MuSCs cultured on these materials revealed that the cellular response to a stiff microenvironment is fixed within the first three days of culture, as subsequent softening back to a healthy stiffness did not rescue MuSC proliferation or myogenic progression. These results highlight the importance of temporally controlled biophysical and biochemical cues in regulating MuSC fate that can be harnessed to improve regenerative medicine approaches to restore skeletal muscle tissue.

Learning fast while avoiding spurious excitement and overcoming cue competition requires setting unachievable goals: reasons for using the logistic activation function in learning to predict categorical outcomes

ABSTRACT Language learning often involves predicting categorical outcomes based on a set of cues. Error in predicting a categorical outcome is the difference between zero or one and the outcome’s current level of activation. The current activation level of a categorical outcome is argued to be a non-linear, logistic function of activation the outcome receives from the cues. Crucially, the logistic activation function asymptotically approaches zero and one without ever reaching or overshooting them. This allows error-driven learning to avoid settling on spurious associations between cues and outcomes that never co-occur (“spurious excitement”). In an artificial language experiment, humans are also not observed to show spurious excitement. The logistic activation function is compared to alternative solutions to spurious excitement, and shown to have important advantages. It enables one-shot learning and steep, S-shaped learning curves, and explains why cue competition in language learning can be overcome with additional training.

Glycosylation in Axonal Guidance.

How millions of axons navigate accurately toward synaptic targets during development is a long-standing question. Over decades, multiple studies have enriched our understanding of axonal pathfinding with discoveries of guidance molecules and morphogens, their receptors, and downstream signalling mechanisms. Interestingly, classification of attractive and repulsive cues can be fluid, as single guidance cues can act as both. Similarly, guidance cues can be secreted, chemotactic cues or anchored, adhesive cues. How a limited set of guidance cues generate the diversity of axonal guidance responses is not completely understood. Differential expression and surface localization of receptors, as well as crosstalk and spatiotemporal patterning of guidance cues, are extensively studied mechanisms that diversify axon guidance pathways. Posttranslational modification is a common, yet understudied mechanism of diversifying protein functions. Many proteins in axonal guidance pathways are glycoproteins and how glycosylation modulates their function to regulate axonal motility and guidance is an emerging field. In this review, we discuss major classes of glycosylation and their functions in axonal pathfinding. The glycosylation of guidance cues and guidance receptors and their functional implications in axonal outgrowth and pathfinding are discussed. New insights into current challenges and future perspectives of glycosylation pathways in neuronal development are discussed.

Tephritid Fruit Fly Semiochemicals: Current Knowledge and Future Perspectives.

Simple SummaryTephritid fruit flies comprise pests of high agricultural relevance and species that have emerged as global invaders. Chemical signals play key roles in multiple steps of a fruit fly’s life. The production and detection of chemical cues are critical in many behavioural interactions of tephritids, such as finding mating partners and hosts for oviposition. The characterisation of the molecules involved in these behaviours sheds light on understanding the biology and ecology of fruit flies and in addition provides a solid base for developing novel species-specific pest control tools by exploiting and/or interfering with chemical perception. Here we provide a comprehensive overview of the extensive literature on different types of chemical cues emitted by tephritids, with a focus on the most relevant fruit fly pest species. We describe the chemical identity, production modality and behavioural relevance of volatile pheromones, host-marking pheromones and cuticular hydrocarbons, as well as the technological advances available for their characterisation. The variegate set of approaches integrating the use of the identified chemical signals for the control of wild populations of key pests is also explored. Last but not least, key challenges for future basic to applied research regarding tephritids are outlined.The Dipteran family Tephritidae (true fruit flies) comprises more than 5000 species classified in 500 genera distributed worldwide. Tephritidae include devastating agricultural pests and highly invasive species whose spread is currently facilitated by globalization, international trade and human mobility. The ability to identify and exploit a wide range of host plants for oviposition, as well as effective and diversified reproductive strategies, are among the key features supporting tephritid biological success. Intraspecific communication involves the exchange of a complex set of sensory cues that are species- and sex-specific. Chemical signals, which are standing out in tephritid communication, comprise long-distance pheromones emitted by one or both sexes, cuticular hydrocarbons with limited volatility deposited on the surrounding substrate or on the insect body regulating medium- to short-distance communication, and host-marking compounds deposited on the fruit after oviposition. In this review, the current knowledge on tephritid chemical communication was analysed with a special emphasis on fruit fly pest species belonging to the Anastrepha, Bactrocera, Ceratitis, Rhagoletis and Zeugodacus genera. The multidisciplinary approaches adopted for characterising tephritid semiochemicals, and the real-world applications and challenges for Integrated Pest Management (IPM) and biological control strategies are critically discussed. Future perspectives for targeted research on fruit fly chemical communication are highlighted.

How trust leads to online purchase intention founded in perceived usefulness and peer communication

AbstractThis study seeks to understand the specific factors on social media that help drive the intention to purchase fashion‐related products, focusing on the central role of trust. The unique contribution of this research lies in its exploration of the interplay between perceived usefulness of the fashion brand's social media and peer communication on the fashion brand's social media in driving trust in the fashion brand's social media and, ultimately, purchase intention. Theoretically, we combine the technology acceptance model and consumer socialisation theory to explore the mediating role of trust in a rapidly expanding and growing industry sector. In surveying 150 Europeans to test our hypotheses around the aforementioned concepts, findings show that the perceived usefulness of a brand's social media is impacted by a set of atmospheric cues, and it influences the level of trust in both the fashion brand and its social media channels. Peer communication also influences perceived usefulness and level of trust in both the fashion brand and its social media channels. Trust in the brand but not its social media channels impacts purchase intention. The role of privacy concerns is limited in our model. We draw implications for theory around combining consumer socialisation theory and the technology acceptance model and for managers around parallel strategies to build different sets of trust on social media.

The spatial distribution of eye movements predicts the (false) recognition of emotional facial expressions.

Recognizing facial expressions of emotions is a fundamental ability for adaptation to the social environment. To date, it remains unclear whether the spatial distribution of eye movements predicts accurate recognition or, on the contrary, confusion in the recognition of facial emotions. In the present study, we asked participants to recognize facial emotions while monitoring their gaze behavior using eye-tracking technology. In Experiment 1a, 40 participants (20 women) performed a classic facial emotion recognition task with a 5-choice procedure (anger, disgust, fear, happiness, sadness). In Experiment 1b, a second group of 40 participants (20 women) was exposed to the same materials and procedure except that they were instructed to say whether (i.e., Yes/No response) the face expressed a specific emotion (e.g., anger), with the five emotion categories tested in distinct blocks. In Experiment 2, two groups of 32 participants performed the same task as in Experiment 1a while exposed to partial facial expressions composed of actions units (AUs) present or absent in some parts of the face (top, middle, or bottom). The coding of the AUs produced by the models showed complex facial configurations for most emotional expressions, with several AUs in common. Eye-tracking data indicated that relevant facial actions were actively gazed at by the decoders during both accurate recognition and errors. False recognition was mainly associated with the additional visual exploration of less relevant facial actions in regions containing ambiguous AUs or AUs relevant to other emotional expressions. Finally, the recognition of facial emotions from partial expressions showed that no single facial actions were necessary to effectively communicate an emotional state. In contrast, the recognition of facial emotions relied on the integration of a complex set of facial cues.

Intrinsic Mechanisms Regulating Neuronal Migration in the Postnatal Brain.

Neuronal migration is a fundamental brain development process that allows cells to move from their birthplaces to their sites of integration. Although neuronal migration largely ceases during embryonic and early postnatal development, neuroblasts continue to be produced and to migrate to a few regions of the adult brain such as the dentate gyrus and the subventricular zone (SVZ). In the SVZ, a large number of neuroblasts migrate into the olfactory bulb (OB) along the rostral migratory stream (RMS). Neuroblasts migrate in chains in a tightly organized micro-environment composed of astrocytes that ensheath the chains of neuroblasts and regulate their migration; the blood vessels that are used by neuroblasts as a physical scaffold and a source of molecular factors; and axons that modulate neuronal migration. In addition to diverse sets of extrinsic micro-environmental cues, long-distance neuronal migration involves a number of intrinsic mechanisms, including membrane and cytoskeleton remodeling, Ca2+ signaling, mitochondria dynamics, energy consumption, and autophagy. All these mechanisms are required to cope with the different micro-environment signals and maintain cellular homeostasis in order to sustain the proper dynamics of migrating neuroblasts and their faithful arrival in the target regions. Neuroblasts in the postnatal brain not only migrate into the OB but may also deviate from their normal path to migrate to a site of injury induced by a stroke or by certain neurodegenerative disorders. In this review, we will focus on the intrinsic mechanisms that regulate long-distance neuroblast migration in the adult brain and on how these pathways may be modulated to control the recruitment of neuroblasts to damaged/diseased brain areas.

A compact and recursive Riemannian motion descriptor for untrimmed activity recognition

A very low dimension frame-level motion descriptor is herein proposed with the capability to represent incomplete dynamics, thus allowing online action prediction. At each frame, a set of local trajectory kinematic cues are spatially pooled using a covariance matrix. The set of frame-level covariance matrices forms a Riemannian manifold that describes motion patterns. A set of statistic measures are computed over this manifold to characterize the sequence dynamics, either globally, or instantaneously from a motion history. Regarding the Riemannian metrics, two different versions are proposed: (1) by considering tangent projections with respect to updated recursive statistics, and (2) by mapping the covariance onto a linear matrix using as reference the identity matrix. The proposed approach was evaluated for two different tasks: (1) for action classification on complete video sequences and (2) for online action recognition, in which the activity is predicted at each frame. The method was evaluated using two public datasets: KTH and UT-interaction. For action classification, the method achieved an average accuracy of 92.27 and 81.67%, for KTH and UT-interaction, respectively. In partial recognition task, the proposed method achieved similar classification rate as for the whole sequence using only the 40 and 70% on KTH and UT sequences, respectively. The code of this work is available at [code].

Manufacturing a Bone Marrow-On-A-Chip Using Maskless Photolithography.

The bone marrow (BM) is a complex microenvironment in which hematopoietic stem and progenitor cells (HSPCs) interact with multiple cell types that regulate their quiescence, growth, and differentiation. These cells constitute local niches where HSPCs are confined and subjected to specific set of physical and biochemical cues. Endothelial cells forming the walls of blood capillaries have been shown to establish a vascular niche, whereas osteoblasts lying along the bone matrix organize the endosteal niche with distinct and specific impact on HSPC fate. The observation of the interaction of HSPCs with niche cells, and the investigation of its impact on HSPCs behavior in vivo is hindered by the opacity of the bone matrix. Therefore, various experimental strategies have been devised to reconstitute in vitro the interaction of HSPCs with distinct sets of BM-derived cells. In this chapter, we present a method to manufacture a pseudo BM-on-a-chip with separated compartments mimicking the vascular and the endosteal niches. Such a configuration with connected but distant compartments allowed the investigation of the specific contribution of each niche to the regulation of HSPC behavior. We describe the microfabrication of the chip with a maskless photolithography method that allows the iterative improvement of the geometric design of the chip in order to optimize the adaptation of the multicellular architecture to the specific aim of the study. We also describe the loading and culture of the various cell types in each compartment.

Humanoid Robots and Autistic Children: A Review on Technological Tools to Assess Social Attention and Engagement

Recent studies suggest that robot-based interventions are potentially effective in diagnosis and therapy of autism spectrum disorder (ASD), demonstrating that robots can improve the engagement abilities and attention in autistic children. While methodological approaches vary significantly in these studies and are not unified yet, researchers often develop similar solutions based on similar conceptual and practical premises. We systematically review the latest robot-intervention techniques in ASD research (18 research papers), comparing multiple dimensions of technological and experimental implementation. In particular, we focus on sensor-based assessment systems for automated and unbiased quantitative assessments of children’s engagement and attention fluctuations during interaction with robots. We examine related technologies, experimental and methodological setups, and the empirical investigations they support. We aim to assess the strengths and limitations of such approaches in a diagnostic context and to evaluate their potential in increasing our knowledge of autism and in supporting the development of social skills and attentional dispositions in ASD children. Using our acquired results from the overview, we propose a set of social cues and interaction techniques that can be thought to be most beneficial in robot-related autism intervention.

Which cues influence the perceived usefulness and credibility of an online review? A conjoint analysis

PurposeThis study aims to assess the relative importance of the argument strength, argument sidedness, writing quality, number of arguments, rated review usefulness, summary review rating and number of reviews in determining the perceived usefulness and credibility of an online review. Additionally, the authors use insights from the elaboration likelihood model (ELM) to explore the effect of consumers' product category involvement on the cues' relative importance.Design/methodology/approachA conjoint analysis (N = 287) is used to study the relative importance of the seven previously mentioned attributes. A balanced orthogonal design generated eight cards that correspond to individual reviews. Respondents scored all eight cards in a random order for perceived usefulness and credibility.FindingsOverall, argument strength is the most important cue, while summary review rating and the number of reviews are the least important for perceived review usefulness and credibility. The number of arguments is more important for people who are more highly involved with the product, while writing quality and rated review usefulness are relatively more important for the low-involvement group.Originality/valueThis study provides a comprehensive test of how consumers perceive online reviews, as it the first to the authors’ knowledge to simultaneously investigate a large set of cues using conjoint analysis. This method allows for the implicit valuation (utility) of the individual cues, revealing the cues' relative importance, in a setting that comes close to a real-life context. Besides, insights of the ELM are used to understand how the relative importance of cues differs depending on the level of review readers' product category involvement.