Unrelated Objects Research Articles

The nature of label-induced categories: preverbal infants represent surface features and category symbols.

Humans categorize objects not only based on perceptual features (e.g. red, rounded), but also function (e.g. used to transport people). Category membership can be communicated via labelling (e.g. 'apple', 'vehicle'). While it is well established that even preverbal infants rely on labels to learn categories, it remains unclear what is the nature of those categories: whether they simply contain sets of visual features diagnostic of category membership, or whether they additionally contain abstract category markers or symbols (e.g. linguistic in the form of category labels or non-linguistic). To address this question, we first used labelling to teach two novel object categories, each composed of unfamiliar visually unrelated objects, to adults and nine-month-olds. Then, we assessed categorization in an electroencephalography category-oddball task. Both adults and infants displayed stronger neural responses to the infrequent category, which, in the absence of visual features shared by all category members, indicates that the categories they set up contained feature-independent category markers. Well before language production starts, labels help infants to discover categories without relying on perceptual similarities across objects and build category representations with summary elements that may be critical for the development of abstract thought.

Grasp with push policy for multi-finger dexterity hand based on deep reinforcement learning

When interacting with the external environment, dexterous hands face various challenges, including interference in cluttered environments and difficulty in accurately locating target objects. We observe that the human hand is often at ease in the face of complex unstructured environments: pushing objects that can rearrange clutter, locating target objects, and creating space for fingers. In addition, the gripping action complements the push by achieving the precise movement of unrelated objects. Taking inspiration from this, to enable manipulators to perform accurate grasping tasks in complex environments, we propose a new data-driven grasping approach for robotic dexterous hands: the push-fit grasping approach. This method combines human grasping with model-free deep reinforcement learning to realize the robot's collaborative grasping ability. An end-to-end conditional converter grasping network is first trained, which takes the visual point cloud input to the action output. We use DQN algorithms for strategy training, further enhanced by fine-tuning methods for real-world learning. The experimental results show that the push strategy we learned significantly improves the grasping performance, and the success rate of cooperative grasping is increased by 8 %. It is worth noting that this fine-tuning method significantly reduces the actual training time, with the real world training taking up only one-fifth of the time in the simulated world. Even in demanding scenarios characterized by confusion and complexity, it facilitates rapid learning. This study provides new insights for effectively addressing complex challenges involving multi-fingered dexterous hands and human-computer interaction. Our code is available in the github repository.

The prediction of segmental and tonal information in Mandarin Chinese: an eye-tracking investigation

ABSTRACT There is controversy about the extent to which people predict phonology during comprehension. In three visual-world experiments, we ask whether it occurs in Mandarin, a tonal language. Participants heard sentences containing a target word that was highly predictable (Cloze 80.2%, Experiment 1) or very highly predictable (Cloze 93.9%, Experiments 2–3) and saw an array of objects containing one whose name matched the target word (Experiments 1–2), was unrelated to the target word (Experiments 1–3), or matched the target word in segment and tone (Experiments 1–3), in segment only (Experiments 1–3), or tone only (Experiment 3). In comparison to the unrelated object, participants looked more at the segment + tone object (Experiments 1–3), and sometimes at the segment object (Experiments 1 and 3), but not at the tone object. We conclude that participants predict segmental information independently of tone.

Defense Against Adversarial Ai

The increasing prevalence of deep learning technology has paved the way for a new era of AI-powered capabilities, promising revolutionary advancements across various societal domains such as healthcare and autonomous vehicles. Despite offering potent solutions to complex problems, the formidable power of these AI systems is accompanied by a susceptibility that malicious actors could exploit. Adversarial attacks, particularly targeting deep learning models, involve the crafting of altered inputs, often imperceptible changes to images, to deceive or undermine the functionality of the AI system. Within the domain of autonomous driving systems, adversarial attacks pose a severe risk. Envision a situation where a precisely manipulated adversarial attack targets a red traffic light sign, causing the AI system to misclassify it as an entirely unrelated object, perhaps identifying it as a bird. The potential consequences of such misclassifications underscore the serious impact that adversarial attacks can exert on the safety and dependability of autonomous vehicles. The potential repercussions of such misclassification are severe, with the risk of causing traffic accidents and posing a notable safety threat. Ensuring the resilience and security of AI technologies against adversarial threats is of utmost importance as AI continues to play a pivotal role in critical applications such as healthcare, finance, and autonomous systems. It necessitates a holistic strategy that melds advanced research, meticulous testing, and the deployment of robust security measures. This comprehensive approach is essential for fostering trust and mitigating potential harm in an ever- growing, AI-driven world.

Conceptual similarity and visual metaphor: effects on viewing times, appreciation, and recall

Different levels of conceptual similarity in equivalent visual structures may determine the way meaning is attributed to images. The degree to which two depicted objects are of the same kind limits interpretive possibilities. In the current research, visual hyponyms (objects of the same kind) were contrasted with visual metaphors and unrelated object pairs. Hyponyms are conceptually more similar than metaphor's source and target, or two unrelated objects. Metaphorically related objects share a ground for comparison that lacks between unrelated objects. We expected viewers to interpret hyponyms more quickly than metaphors or unrelated objects. For liking, there were competing predictions: hyponyms are appreciated more because they are easier, or metaphors are liked more because successful cognitive effort is rewarded. In the first experiment viewers were asked to identify relationships in 27 object pairs. Hyponyms were identified faster than metaphors and metaphors faster than unrelated objects. In the second experiment, with the same materials, viewers were asked to rate appreciation for each object pair. This reduced viewing times substantially. Appreciation was higher for hyponyms than for visual metaphors. In a third experiment with the same materials, exposure duration was varied. Hyponyms were preferred to metaphors and unrelated objects irrespective of exposure duration.

Discrete-event modelling of container terminal cargo fronts

The basis for designing and upgrading new sea ports and container terminals is regulatory documentation. A part of designing a new sea port is making key technological decisions, including on calculating its cargo throughput capacity. However a method for capacity evaluation of operating ports is not described in the regulatory documents. Operating cargo terminals often undergo significant changes since the moment they were put into operation. Equipment, resources and infrastructure of cargo fronts should not be the only thing taken into consideration when evaluating an existing container terminal capacity. The way in which a terminal interacts with external transport systems (railroad, vessel fleet, etc.) as well as interactions between cargo fronts inside a terminal should also be considered. A discrete- event simulation model for the system consisting of a railroad cargo front, a container yard and a berth cargo front of a container terminal is proposed in the paper. This model allows to evaluate the balance between calls of different modes of transport (vessel calls, cargo train calls), as well as the impact of this balance on the state of container yard and on the terminal cargo throughput capacity in general. Container terminal in terms of proposed model is not merely a set of unrelated objects, but a system. In such system interaction with one of elements has influence on all the others. The model is described as mathematical dependencies between key variables. Cargo train and vessel calls generation is performed via standard spreadsheet methods. To acquire more accurate results, specific sea port statistical data should be used.

Conceptual relatedness promotes memory generalization at the cost of detailed recollection

An adaptive memory system is one that allows us to both retrieve detailed memories as well as generalize knowledge about our past, the latter termed memory generalization and is useful for making inferences about new situations. Research has indicated that memory generalization relies on forming knowledge structures by integrating experiences with shared encountered elements. Whether memory generalization occurs more readily when experiences also have elements that share established (conceptual) information is less clear. It is also unclear if engaging in memory generalization during learning comes at the cost of retrieving detailed memories, the other function of episodic memory. To address these two knowledge gaps, we paired a modified version of the acquired equivalence task with a recognition memory test. Across three experiments, participants first learned a series of overlapping object-scene pairs (A–X, B–X and A–Y) in which half of the overlapping pairs contained conceptually-related objects (e.g., A—pencil; B—scissors; conceptual condition) and the other half contained unrelated objects (neutral condition). Participants ability to generalize to new overlapping object-scene pairs (B–Y) as well as not-learned but semantically-related objects was measured. Finally, participants completed a recognition memory test that included the encoded objects, perceptually similar lures or new foil objects. Across all experiments, we found higher rates of generalization but reduced detailed memory (indexed by increased false alarms to lure objects) for information learned in the conceptual than neutral condition. These results suggest the presence of conceptual knowledge biases an individual towards a generalization function of memory, which comes at the expense of detailed recollection.

Verbal working memory capacity modulates semantic and phonological prediction in spoken comprehension.

Mounting evidence suggests that people may use multiple cues to predict different levels of representation (e.g., semantic, syntactic, and phonological) during language comprehension. One question that has been less investigated is the relationship between general cognitive processing and the efficiency of prediction at various linguistic levels, such as semantic and phonological levels. To address this research gap, the present study investigated how working memory capacity (WMC) modulates different kinds of prediction behavior (i.e., semantic prediction and phonological prediction) in the visual world. Chinese speakers listened to the highly predictable sentences that contained a highly predictable target word, and viewed a visual display of objects. The visual display of objects contained a target object corresponding to the predictable word, a semantic or a phonological competitor that was semantically or phonologically related to the predictable word, and an unrelated object. We conducted a Chinese version of the reading span task to measure verbal WMC and grouped participants into high- and low-span groups. Participants showed semantic and phonological prediction with comparable size in both groups during language comprehension, with earlier semantic prediction in the high-span group, and a similar time course of phonological prediction in both groups. These results suggest that verbal working memory modulates predictive processing in language comprehension.

Just look away: Could attention allocation to scene grammar violations during unrelated object searches be modulated by individual differences in language experience?

Just look away: Could attention allocation to scene grammar violations during unrelated object searches be modulated by individual differences in language experience?

Object-Aware View Planning for Autonomous 3-D Model Reconstruction of Buildings Using a Mobile Robot

Active mapping ranks among the most critical applications of autonomous mobile robots. In this article, we focus on 3D model reconstruction of buildings using an outdoor ground robot equipped with a solid-state LiDAR and a gimbal. A view-planning approach is proposed to generate and evaluate view sequences with reference to the characteristics of solid-state LiDAR and the robot configuration. To reconstruct the specific buildings while ignoring unrelated objects in the environment, we introduce object awareness into the map representation, and frontier- and sampling-based strategies are combined to plan the view sequences for the effective observation of a target building. Instead of greedily maximizing information gain, frontier clusters indicating the mapped object’s incomplete surfaces are used to evaluate the sampled views, and sampling the minimum view set generates view sequences able to efficiently cover the clusters. Moreover, using object awareness to partition the area of sampled views around the building facilitates a divide-and-conquer strategy that overcomes local characteristics and guides a complete reconstruction. Simulation and real-world experiments revealed that our approach allows the thorough and efficient active reconstruction of various buildings and even outperforms state-of-the-art approaches.

Memory for Semantically Related Objects Differentiates Cognitively Unimpaired Autosomal Dominant Mutation Carriers from Non-Carrier Family Members.

Early cognitive changes due to Alzheimer's disease (AD) include difficulties in semantic access and working memory. Using a computerized cognitive test developed by our group, called the Memory for Semantically Related Objects test (MESERO), we evaluated if cognitively unimpaired carriers of an autosomal dominant AD (ADAD) mutation performed worse on this test than non-carrier family members. 35 cognitively unimpaired ADAD mutation carriers and 26 non-carrier family members from a Colombian ADAD cohort took the MESERO on a laptop computer. Cognitively unimpaired ADAD carriers had significantly worse MESERO total scores than non-carrier family members, driven by worse performance in semantically-related object sets; group performances did not differ on semantically unrelated object sets. Findings suggest that MESERO performance may be sensitive to subtle cognitive changes associated with AD. Future MESERO research should examine performances between healthy older adults and people at risk for sporadic AD.

Working Memory Performance for Semantically Related Objects Distinguishes Cognitively‐Unimpaired Mutation Carriers from Non‐Carriers in a Colombian kindred with Autosomal Dominant Alzheimer’s Disease

AbstractBackgroundThe identification of cognitive tests sensitive to subtle changes in the preclinical stage of Alzheimer’s disease (AD) is of upmost importance to early detection of the disease, and to optimizing AD clinical trial recruitment. We used a delayed matching‐to‐sample (DMS) paradigm to study working memory for semantic relatedness in young adult carriers and non‐carriers of an autosomal dominant AD (ADAD) mutation from the Colombian kindred.Methods35 cognitively‐unimpaired Presenilin1 (PSEN1) E280A mutation carriers and 26 non‐carrier family members took the “Memory for Semantically‐Related Objects” test (MESERO), a computerized DMS working memory test for semantically‐related (and unrelated objects) developed by our group. The MESERO shows an equal number of either 4 or 6 objects that are semantically‐related or unrelated and records accuracy out of 80 points total (40 semantically‐related trials; 40 unrelated trials), as well as reaction time in milliseconds. Participants also completed the Mini‐Mental State Exam (MMSE). MESERO behavioral responses between groups were evaluated with the Mann‐Whitney test; age, MMSE scores, and education were compared with independent samples t‐tests.ResultsNon‐carriers were significantly older (M = 36.7 years, SD = 6.5) and had slightly, but significantly higher MMSE scores (M = 28.8, SD = 6.5) than the carriers (age: M = 30.5, SD = 5.3; t = 3.92, p<.001; MMSE: M = 28.1, SD = 1.2; p<.001). The groups did not differ on education (∼mean of 11 years for both; t = 0.29, p = .39). On the MESERO total score, mutation carriers had significantly lower performance (mean = 70.8, SD = 6.5) relative to non‐carriers (mean = 73.5, SD = 5.7; U = 312, p = .04). The PSEN1 E280A carriers, in particular, performed worse on the semantically‐related trials (mean = 33.9, SD = 4.2) relative to non‐carriers (mean = 35.8, SD = 2.9; U = 312.5, p = .04), but not on unrelated trials (U = 357, p = .19). The carriers performed worse than non‐carriers on trials with 4‐items (mean = 35.5, SD = 4.2 vs. mean = 37.3, SD = 3.2) (U = 300.5, p = .02), but not with 6‐items in the study phase (U = 366.5, p = .19).ConclusionA brief computerized working memory task for semantically‐related objects was able to distinguish cognitively unimpaired mutation carriers from non‐carriers from a Colombian kindred with autosomal dominant Alzheimer’s disease, approximately 14 years before the median age of mild cognitive impairment onset in this cohort. Working memory for semantic relatedness warrants further study as a potential marker of preclinical AD.

Verifying unfamiliar identities: Effects of processing name and face information in the same identity-matching task

Matching the identity of unfamiliar faces is important in applied identity verification tasks, for example when verifying photo ID at border crossings, in secure access areas, or when issuing identity credentials. In these settings, other biographical details—such as name or date of birth on an identity document—are also often compared to existing records, but the impact of these concurrent checks on decisions has not been examined. Here, we asked participants to sequentially compare name, then face information between an ID card and digital records to detect errors. Across four experiments (combined n = 274), despite being told that mismatches between written name pairs and face image pairs were independent, participants were more likely to say that face images matched when names also matched. Across all experiments, we found that this bias was unaffected by the image quality, suggesting that the source of the bias is somewhat independent of perceptual processes. In a final experiment, we show that this decisional bias was found only for name checks, but not when participants were asked to check ID card expiration dates or unrelated object names. We conclude that the bias arises from processing identity information and propose that it operates at the level of unfamiliar person identity representations. Results are interpreted in the context of theoretical models of face processing, and we discuss applied implications.

Behavioural reconsolidation interference not observed in a within-subjects design

Studies of reconsolidation interference posit that reactivation of a previously consolidated memory via a reminder brings it into an active, labile state, leaving it open for potential manipulation. If interfered with, this may disrupt the original memory trace. While evidence for pharmacological reconsolidation interference is widespread, it remains unclear whether behavioural interference using the presentation of competing information can engender it, especially in declarative memory. Almost all previous studies in this area have employed between-subjects designs, in which there are potential confounds, such as different retrieval strategies for the multiple conditions. In the current studies, within-subjects paradigms were applied to test the effects of reconsolidation interference on associative recognition and free recall. In Experiment 1, participants engaged in pair-associate learning of unrelated object pictures on Day 1, and after a reminder, interference, reminder + interference, or no manipulation (control) on Day 2, were tested on associative recognition of these pairs on Day 3. In Experiments 2 and 3, memoranda were short stories studied on Day 1. On Day 2, stories were assigned to either control, reminder, interference by alternative stories, or reminder + interference conditions. On Day 3 participants recalled the Day 1 stories, and answered yes/no recognition questions. Reminders improved subsequent memory, while interference was effective in reducing retrieval in differing degrees across the experiments. Importantly, the reminder + interference condition was no more effective in impairing retrieval than the interference-alone condition, contrary to the prediction of the behavioural reconsolidation-interference approach.

Visual working memory representations bias attention more when they are the target of an action plan

Attention has frequently been regarded as an emergent property of linking sensory representations to action plans. It has recently been proposed that similar mechanisms may operate within visual working memory (VWM), such that linking an object in VWM to an action plan strengthens its sensory memory representation, which then expresses as an attentional bias. Here we directly tested this hypothesis by comparing attentional biases induced by VWM representations which were the target of a future action, to those induced by VWM representations that were equally task-relevant, but not the direct target of action. We predicted that the first condition would result in a more prioritized memory state and hence stronger attentional biases. Specifically, participants memorized a geometric shape for a subsequent memory test. At test, in case of a match, participants either had to perform a grip movement on the matching object (action condition), or perform the same movement, but on an unrelated object (control condition). To assess any attentional biases, during the delay period between memorandum and test, participants performed a visual selection task in which either the target was surrounded by the memorized shape (congruent trials) or a distractor (incongruent trials). Eye movements were measured as a proxy for attentional priority. We found a significant interaction for saccade latencies between action condition and shape congruency, reflecting more pronounced VWM-based attentional biases in the action condition. Our results are consistent with the idea that action plans prioritize sensory representations in VWM.

Autism-spectrum traits in neurotypicals predict the embodiment of manipulation knowledge about object concepts: Evidence from eyetracking.

Sensorimotor-based theories of cognition predict that even subtle developmental motor differences, such as those characterizing autism spectrum disorder (ASD), impact how we represent the meaning of manipulable objects (e.g., faucet). Here, we test 85 neurotypical participants, who varied widely on the Adult Autism Spectrum Quotient (AQ), a measure intended to capture variability in ASD characteristics in the general adult population (participant scores were all below the clinical threshold for autism). Participants completed a visual world eyetracking task designed to assess the activation of conceptual representations of manipulable objects. Participants heard words referring to manually manipulable objects (e.g., faucet) while we recorded their eye movements to arrays of four objects: the named object, a related object typically manipulated similarly (e.g., jar), and two unrelated objects. Consistent with prior work, we observed more looks to the related object than to the unrelated ones (i.e., a manipulation-relatedness effect). This effect likely reflects the overlapping conceptual representations of objects sharing manipulation characteristics (e.g., faucet and jar), due to embodied sensorimotor properties being part of their representations. Critically, we observed—among typically developed young adults—that as AQ scores increased, manipulation-relatedness effects decreased. In contrast, in a visual control condition, in which a target object was paired with related objects of a similar shape (e.g., snake and rope), relatedness effects increased with AQ scores. The results show that AQ scores can predict variation in how object-concept representations are activated for typically developed individuals. More speculatively, they are consistent with the hypothesis that in individuals with ASD, differences in object-concept representations emerge at least in part via differences in sensorimotor experience.

Can the elderly take the action? – The influence of unitization induced by action relationships on the associative memory deficit

Healthy aging is associated with intact familiarity, whereas recollection, usually supporting associative memory, is attenuated. Accordingly, associative memory shows a stronger age-related decline than item memory. One approach to alleviate age-related associative memory deficits is to increase the contribution of familiarity to associative memory by creating encoding conditions that allow to integrate separate stimuli to an entity (unitization). The current study investigated whether bottom-up unitization can reduce age-related differences in associative memory. Younger (YA) and older adults (OA) studied associations between semantically unrelated objects, spatially arranged in a way that an action between these two objects is possible (unitized, e.g., emptying a bottle into a sneaker) or not (non-unitized). At test, participants distinguished intact from recombined and new object pairs. As expected, we found larger age differences for associative memory than for item memory. Additionally, the presence of action relationships supports memory performance in both age groups. In the event-related potentials (ERP) of the test phase, we observed an age-related attenuation of recollection and preserved familiarity independent of the action relationship condition. Considering comparisons including the recombined pairs, the ERP correlate of associative familiarity (i.e., intact vs. recombined) was present in OA for action-related pairs, whereas for YA, there was no evidence for enhanced familiarity for action-related pairs. In the late time window, ERP evidence for recollection for intact action-related object pairs was obtained independent of age group. In conclusion, both age groups benefited from unitization by action relationships but by different mechanisms. While YA show no associative familiarity for action-related object pairs but a general reliance on recollection for associations in action-related and –unrelated pairs, OA seem to rely more on familiarity for the specific arrangement of action-related pairs.

Predicting phonology in language comprehension: Evidence from the visual world eye-tracking task in Mandarin Chinese.

Whereas a growing body of research demonstrates that people may predict conceptual representations during language comprehension, evidence for phonological prediction is less straightforward. Moreover, existing findings of phonological prediction come largely from studies conducted with languages with alphabetic scripts, making it difficult to dissociate the effects of phonology from orthography. In two experiments, we used the visual world paradigm to investigate whether comprehenders predict phonological information during comprehension of Chinese sentences, where phonology and orthography are largely dissociable. Participants listened to sentences containing a highly predictable word while viewing a visual display consisting of a critical object and three distractors (target object, a semantic competitor object, a phonological competitor object, or an unrelated object). We manipulated preview time (i.e., 2 s in Experiment 1 and 1 s in Experiment 2) to investigate how preview time influences the phonological prediction effect. In addition, we used different stimuli to test the robustness of the results. Results showed anticipatory eye movements for semantic competitors: participants fixated more on the semantic competitors than unrelated objects before the onset of predictable target words. Critically, in the two experiments, the results showed anticipatory fixations on phonological competitor objects. These findings provide clear evidence for the preactivation of both semantic and phonological information in sentence comprehension. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Contextual associations represented both in neural networks and human behavior

Contextual associations facilitate object recognition in human vision. However, the role of context in artificial vision remains elusive as does the characteristics that humans use to define context. We investigated whether contextually related objects (bicycle-helmet) are represented more similarly in convolutional neural networks (CNNs) used for image understanding than unrelated objects (bicycle-fork). Stimuli were of objects against a white background and consisted of a diverse set of contexts (N = 73). CNN representations of contextually related objects were more similar to one another than to unrelated objects across all CNN layers. Critically, the similarity found in CNNs correlated with human behavior across multiple experiments assessing contextual relatedness, emerging significant only in the later layers. The results demonstrate that context is inherently represented in CNNs as a result of object recognition training, and that the representation in the later layers of the network tap into the contextual regularities that predict human behavior.

A hot and luminous source at the site of the fast transient AT2018cow at 2–3 yr after its explosion

ABSTRACT We report the discovery of a luminous late-time source at the position of the fast blue optical transient AT2018cow on images taken by the Hubble Space Telescope at 714 d and 1136 d after its explosion. This source is detected at both UV and optical wavelengths and has prominent Hα emission. It has a very stable brightness between the two epochs and a very blue spectral energy distribution consistent with fλ $\propto \, \lambda ^{-4.1 \pm 0.1}$, i.e. the Rayleigh–Jeans tail of a hot blackbody with a very high temperature of log(T/K) > 4.7 and luminosity of log(L/L⊙) > 7.0. This late-time source is unlikely to be an unrelated object in chance alignment, or due to a light echo of AT2018cow. Other possible scenarios also have some difficulties in explaining this late-time source, including companion star(s), star cluster, the survived progenitor star, interaction with circumstellar medium, magnetar, or delayed accretion in a tidal disruption event. Long-term and multi-wavelength monitoring will help to resolve its nature and finally reveal the origin of the ‘Cow’.