The development of visuospatial abilities and their impact on laparoscopic skill acquisition: a clinical longitudinal study.

OBJECTIVES: To investigate how visuospatial abilities develop and influence intraoperative laparoscopic performance during surgical residency training programmes. BACKGROUND: Laparoscopic surgery is a challenging technique to acquire and master. Visuospatial ability is an important attribute but most prior research have predominantly explored the influence of visuospatial abilities in lab-based settings and/or among inexperienced surgeons. Little is known about the impact of visuospatial profiles on actual laparoscopic performance and its role in shaping competency. METHOD: A longitudinal observational cohort study using a pair-matched design over 27 months. At baseline, visuospatial profiles of 43 laparoscopic surgeons of all expertise levels and 19 control subjects were compared. The development of visuospatial abilities and their association with intraoperative performance of 18 residency surgeons were monitored during the course of their laparoscopic training. RESULTS: Laparoscopic surgeons significantly outperformed the control group on the measure of spatial visualisation (U = 273.0, p = 0.03, η2 = 0.3). Spatial visualisation was found to be a significant predictor of laparoscopic expertise (R2 = 0.70, F (1.60) = 6.788, p = 0.01) and improved with laparoscopic training (B = 4.01, SE = 1.83, p = 0.02, 95% CI [0.40, 7.63]). From month 6 to 18, a strong positive correlation between spatial visualisation and intraoperative depth perception (r = 0.67, p < 0.01), bimanual dexterity (r = 0.60, p < 0.01), autonomy (r = 0.78, p < 0.01) and the total score (r = 0.70, p < 0.01) were observed but a strong relationship remained only with autonomy (r = 0.89, p < 0.01) and total score (r = 0.80, p < 0.01) at 18 months. CONCLUSION: In this longitudinal cohort study, visuospatial abilities associate with laparoscopic skills and improve with training. Spatial visualisation may be characteristic of laparoscopic expertise as it has clear association with competency development during laparoscopy residency training programme.

Spatial cognition in minimally invasive surgery: a systematic review.

BACKGROUND: Spatial cognition is known to play an important role in minimally invasive surgery (MIS), as it was found to enable faster surgical skill acquisition, reduce surgical time and errors made and significantly improve surgical performance. No prior research attempted to summarize the available literature, to indicate the level of importance of the individual spatial abilities and how they impact surgical performance and skill acquisition in MIS. METHODS: Psychological and medical databases were systematically searched to identify studies directly exploring spatial cognition in MIS learning and performance outcomes. Articles written in the English language articles, published between 2006 and 2016, investigating any and all aspect of spatial cognition in direct relation to influence over performance or learning of MIS, were deemed eligible. RESULTS: A total of 26 studies satisfied this criterion and were included in the review. The studies were very heterogeneous and the vast majority of the participants were novice trainees but with variable degree of skills. There were no clinical studies as almost all studies were conducted on either box trainers or virtual reality simulators. Mental rotation ability was found to have a clear impact on operative performance and mental practice was identified as an effective tool to enhance performance, pre-operatively. Ergonomic set-up of the MIS equipment has a marked influence on MIS performance and learning outcomes. CONCLUSIONS: Spatial cognition was found to play an important role in MIS, with mental rotation showing a specific significance. Future research is required to further confirm and quantify these findings in the clinical settings.

Computationally constructing a repository of compound remote associates test items in American English with comRAT-G.

The Remote Associates Test (RAT) has been used to measure creativity, however few repositories or standardizations of test items exist, like the normative data on 144 items provided by Bowden and Jung-Beeman. comRAT is a computational solver which has been used to solve the compound RAT in linguistic and visual forms, showing correlation to human performance over the normative data provided by Bowden and Jung-Beeman. This paper describes using a variant of comRAT, comRAT-G, to generate and construct a repository of compound RAT items for use in the cognitive psychology and cognitive modeling community. Around 17 million compound Remote Associates Test items are created from nouns alone, aiming to provide control over (i) frequency of occurrence of query items, (ii) answer items, (iii) the probability of coming up with an answer, (iv) keeping one or more query items constant and (v) keeping the answer constant. Queries produced by comRAT-G are evaluated in a study in comparison with queries from the normative dataset of Bowden and Jung-Beeman, showing that comRAT-G queries are similar to the established query set.

Action Selection in Everyday Activities: The Opportunistic Planning Model.

While action selection strategies in well-defined domains have received considerable attention, little is yet known about how people choose what to do next in ill-defined tasks. In this contribution, we shed light on this issue by considering everyday tasks, which in many cases have a multitude of possible solutions (e.g., it does not matter in which order the items are brought to the table when setting a table) and are thus categorized as ill-defined problems. Even if there are no hard constraints on the ordering of subtasks in everyday activities, our research shows that people exhibit specific preferences. We propose that these preferences arise from bounded rationality, that is, people only have limited knowledge and processing power available, which results in a preference to minimize the overall physical and cognitive effort. In the context of everyday activities, this can be achieved by (a) taking properties of the spatial environment into account to use them to one's advantage, and (b) employing a stepwise-optimal action selection strategy. We present the Opportunistic Planning Model as an explanatory cognitive model, which instantiates these assumptions, and show that the model is able to generalize to new everyday tasks, outperforming machine learning models such as neural networks during generalization.

Just the tip of the iceberg: the bicoded map is but one instantiation of scalable spatial representation structures.

Although the bicoded map constitutes an interesting candidate representation, proposing it as the predominant representation for three-dimensional space is too restrictive. We present and argue for scalable spatial representation structures as a more comprehensive alternative account that includes the bicoded map as a special case.

A Smart Model of Imaginal Perspective Taking.

The ability to judge spatial relations from perspectives that differ from one's current body orientation and location is important for many everyday activities. Despite considerable research on imaginal perspective taking, however, detailed computational accounts of the processes involved in this ability are missing. In this contribution, I introduce Smart (Spatial Memory Access by Reference Frame SelecTion) as a computational cognitive model of imaginal perspective taking processes. In assuming that imaginal perspective taking is governed by reference frame selection for memory access and subsequent motor activation, Smart is able to explain and simulate key findings on human imaginal perspective taking. In addition to providing novel insight into the mechanisms underlying imaginal perspective taking, Smart also has several implications for our view on spatial memory, more generally. In particular, Smart supports the idea that enduring spatial representations are essentially orientation-free and that spatial representations are best viewed as flexible combinations of representation structures and reference frames.

PAMPAS: A PsychoAcoustical Method for the Perceptual Analysis of multidimensional Sonification.

The sonification of data to communicate information to a user is a relatively new approach that established itself around the 1990s. To date, many researchers have designed their individual sonification from scratch. There are no standards in sonification design and evaluation. But researchers and practitioners have formulated several requirements and established several methods. There is a wide consensus that psychoacocustics could play an important role in the sonification design and evaluation phase. But this requires a) an adaption of psychoacoustic methods to the signal types of sonification and b) a preparation of the sonification for the psychoacoustic experiment procedure. In this method paper, we present a PsychoAcoustical Method for the Perceptual Analysis of multidimensional Sonification (PAMPAS) dedicated to the researchers of sonification. A well-defined and well-established, efficient, reliable, and replicable just noticeable difference (JND) experiment using the maximum likelihood procedure (MLP) serves as the basis to achieve perceptual linearity of parameter mapping during the sonification design stage and to identify and quantify perceptual effects during the sonification evaluation stage, namely the perceptual resolution, hysteresis effects and perceptual interferences. The experiment results are scores from standardized data space and a standardized procedure. These scores can serve to compare multiple sonification designs of a single researcher or even among different research groups. This method can supplement other sonification designs and evaluation methods from a perceptual viewpoint.

Everyday Activities.

The ease with which humans usually perform everyday activities masks their inherit complexity. Tasks such as setting a table prior to a meal or preparing a hot beverage require the coordination of several cognitive abilities. At the same time, many everyday activities are simple enough to afford investigation in controlled lab settings. One main goal of this issue is to raise awareness of everyday activities as a topic and a field of study in its own right, which allows investigating (a) selected cognitive abilities with high ecological validity and (b) the interplay and integration of key cognitive abilities. To this end, this topic consists of eight papers that span different aspects of everyday activities, ranging from neuroscience through philosophical considerations and implications to lessons from robotics.

Alignment in spatial memory: Encoding of reference frames or of relations?

A common assumption about spatial memory is that it is organized along one or more reference directions such that access to memory is easier along directions aligned with the reference direction(s). This assumption rests to no small part on frequently replicated alignment effects arising in judgment of relative direction. In this contribution, we report an experiment designed to investigate a possible alternative explanation of alignment effects. By contrasting performance in a judgment of relative direction task with performance in an ego perspective taking task, we tested to what extent alignment effects arise from encoding of relations in addition to or instead of from organization along reference directions. Experimental results suggest little if any contribution of relation encoding on alignment effects, thus lending further support to the assumption of reference directions in spatial memory. Data from both tasks yielded the same alignment effects and provided evidence for a single direction being encoded in memory. Moreover, our results shed new light on and raise questions concerning differential sensorimotor and cognitive influence on spatial memory use. While both influence memory use, systematic bias seems to arise solely from reference directions, along which memory is organized.

Does direction matter? Linguistic asymmetries reflected in visual attention.

Language and vision interact in non-trivial ways. Linguistically, spatial utterances are often asymmetrical as they relate more stable objects (reference objects) to less stable objects (located objects). Researchers have claimed that such linguistic asymmetry should also be reflected in the allocation of visual attention when people process a depicted spatial relation described by spatial language. More specifically, it was assumed that people move their attention from the reference object to the located object. However, recent theoretical and empirical findings challenge the directionality of this attentional shift. In this article, we present the results of an empirical study based on predictions generated by computational cognitive models implementing different directionalities of attention. Moreover, we thoroughly analyze the computational models. While our results do not favor any of the implemented directionalities of attention, we found that two unknown sources of geometric information affect spatial language understanding. We provide modifications to the computational models that substantially improve their performance on empirical data.

Comparing elemental and configural associative theories in human causal learning: a case for attention.

In two causal learning experiments with human participants, the authors compared various associative theories that assumed either elemental (unique cue, modified unique cue, replaced elements model, and Harris' model) or configural processing of stimuli (Pearce's theory and a modification of it). The authors used modified patterning problems initially suggested by Redhead and Pearce (1995). Predictions for all theories were generated by computer simulations. Both configural theories and the unique cue approach failed to account for the observations. The replaced elements model was able to account for part of the data, but only if the replacement parameters could vary across discrimination problems. The Harris model and the modified unique cue approach, assuming that the salience of stimuli decreases with an increasing number of stimuli in a compound, successfully accounted for all of our data. This success implies that attentional factors should be explicitly taken into account in associative learning theory.

Inter-process relations in spatial language: Feedback and graded compatibility.

Mapping spatial expressions such as "behind the cup" to a spatial region requires two processes that have been largely explored independently: reference frame selection and spatial term assignment (Logan & Sadler, 1996). Reference frame selection carves a space into regions. Spatial term assignment evaluates these regions by determining the acceptability of the term for the given configuration. Here we present a systematic investigation of the relation and interplay of these two processes by asking whether (a) information from spatial term assignment feeds back to selection and (b) whether competition during selection is graded. In a series of simulation studies, we assess the performance of four computational models, each of which instantiates a unique combination of feedback (no feedback vs. feedback) and gradedness (all-or-none compatibility vs. graded compatibility). The results support two key observations about human spatial term use: First, reference frame selection and spatial term assignment proceed concurrently and in mutual interaction, with assignment information feeding back and influencing the selection process. Second, competition in reference frame selection is graded such that the strength of competition between different available reference frames increases continuously with decreasing similarity of the frames. As such, our work provides a new view on the components involved in spatial term use and their interplay, and suggests more broadly that the gradedness of competition may also be an important aspect of conflict and selection in other cognitive domains.

Mechanisms of Reference Frame Selection in Spatial Term Use: Computational and Empirical Studies.

Previous studies have shown that multiple reference frames are available and compete for selection during the use of spatial terms such as "above." However, the mechanisms that underlie the selection process are poorly understood. In the current paper we present two experiments and a comparison of three computational models of selection to shed further light on the nature of reference frame selection. The three models are drawn from different areas of human cognition, and we assess whether they may be applied to a reference frame selection by examining their ability to account for both existing and new empirical data comprising acceptance rates, response times, and response time distributions. These three models are the competitive shunting model (Schultheis, ), the leaky competing accumulator (LCA) model (Usher & McClelland, ), and a lexical selection model (Howard, Nickels, Coltheart, & Cole-Virtue, ). Model simulations show that only the LCA model satisfactorily accounts for the empirical observations. The key properties of this model that seem to drive its success are its bounded linear activation function, its number and type of processing stages, and its use of decay. Uncovering these critical properties has important implications for our understanding not only of spatial term use, in particular, but also of conflict and selection in human cognition more generally.

Modeling mental spatial reasoning about cardinal directions.

This article presents research into human mental spatial reasoning with orientation knowledge. In particular, we look at reasoning problems about cardinal directions that possess multiple valid solutions (i.e., are spatially underdetermined), at human preferences for some of these solutions, and at representational and procedural factors that lead to such preferences. The article presents, first, a discussion of existing, related conceptual and computational approaches; second, results of empirical research into the solution preferences that human reasoners actually have; and, third, a novel computational model that relies on a parsimonious and flexible spatio-analogical knowledge representation structure to robustly reproduce the behavior observed with human reasoners.

Determinants of attentional modulation near the hands.

A series of visual search experiments conducted by Abrams et al. (2008) indicates that disengagement of visual attention is slowed when the array of objects that are to be searched are close to the hands (hands on the monitor) than if they are not close to the hands (hands in the lap). These experiments establish the impact one's hands can have on visual attentional processing. In the current paper we more closely examine these two hand postures with the goal of pinpointing which characteristics are crucial for the observed differences in attentional processing. Specifically, in a set of 4 experiments we investigated additional hand postures and additional modes of response to address this goal. We replicated the original Abrams et al. (2008) effect when only the two original postures were used; however, surprisingly, the effect was extinguished with the new range of postures and response modes, and this extinction persisted across different populations (German and English students), and different experimental hardware. Furthermore, analyses indicated that it is unlikely that the extinction of the effect was caused by increased practice due to additional blocks of trials or by an increased probability that participants were able to guess the purpose of the experiment. As such our results suggest that in addition to the nature of the postures of the hand, the number of postures is a further important factor that influences the impact the hands have on visual processing.

Differences between Spatial and Visual Mental Representations.

This article investigates the relationship between visual mental representations and spatial mental representations in human visuo-spatial processing. By comparing two common theories of visuo-spatial processing - mental model theory and the theory of mental imagery - we identified two open questions: (1) which representations are modality-specific, and (2) what is the role of the two representations in reasoning. Two experiments examining eye movements and preferences for under-specified problems were conducted to investigate these questions. We found that significant spontaneous eye movements along the processed spatial relations occurred only when a visual mental representation is employed, but not with a spatial mental representation. Furthermore, the preferences for the answers of the under-specified problems differed between the two mental representations. The results challenge assumptions made by mental model theory and the theory of mental imagery.

Indicators of early and late processing reveal the importance of within-trial-time for theories of associative learning.

In four human learning experiments (Pavlovian skin conductance, causal learning, speeded classification task), we evaluated several associative learning theories that assume either an elemental (modified unique cue model and Harris' model) or a configural (Pearce's configural theory and an extension of it) form of stimulus processing. The experiments used two modified patterning problems (A/B/C+, AB/BC/AC+ vs. ABC-; A+, BC+ vs. ABC-). Pearce's configural theory successfully predicted all of our data reflecting early stimulus processing, while the predictions of the elemental theories were in accord with all of our data reflecting later stages of stimulus processing. Our results suggest that the form of stimulus representation depends on the amount of time available for stimulus processing. Our findings highlight the necessity to investigate stimulus processing during conditioning on a finer time scale than usually done in contemporary research.

Casimir: an architecture for mental spatial knowledge processing.

Mental spatial knowledge processing often uses spatio-analogical or quasipictorial representation structures such as spatial mental models or mental images. The cognitive architecture Casimir is designed to provide a framework for computationally modeling human spatial knowledge processing relying on these kinds of representation formats. In this article, we present an overview of Casimir and its components. We briefly describe the long-term memory component and the interaction with external diagrammatic representations. Particular emphasis is placed on Casimir's working memory and control mechanisms. Regarding working memory, we describe the conceptual foundations and the processing mechanisms employed in mental spatial reasoning. With respect to control, we explain how it is realized as a distributed, emergent facility within Casimir.

ALTSim: a MATLAB simulator for current associative learning theories.

ALTSim is a MATLAB-based simulator of several associative learning models, including Pearce's configural model, the extended configural model, the Rescorla-Wagner model, the unique cue hypothesis, the modified unique cue hypothesis, the replaced elements model, and Harris's elemental model. It allows for specifying all relevant parameters, as well as exact stimulus sequences by graphical user interfaces. It is an easy-to-use tool that facilitates evaluating and comparing the featured associative learning models. ALTSim is available free of charge from www.staff.uni-marburg.de/~lachnit/ALTSim/.