C. A. Campbell

Bio: C. A. Campbell is an academic researcher. The author has an hindex of 1, co-authored 1 publications receiving 7 citations.

An enactive approach to pain: beyond the biopsychosocial model

Abstract: We propose a new conceptualization of pain by incorporating advancements made by phenomenologists and cognitive scientists. The biomedical understanding of pain is problematic as it inaccurately endorses a linear relationship between noxious stimuli and pain, and is often dualist or reductionist. From a Cartesian dualist perspective, pain occurs in an immaterial mind. From a reductionist perspective, pain is often considered to be “in the brain.” The biopsychosocial conceptualization of pain has been adopted to combat these problematic views. However, when considering pain research advancements, paired with the work of phenomenologists’ and cognitive scientists’ advanced understanding of perception, the biopsychosocial model is inadequate in many ways. The boundaries between the biological, psychological, and social are artificial, and the model is often applied in a fragmented manner. The model has a limited theoretical foundation, resulting in the perpetuation of dualistic and reductionist beliefs. A new framework may serve to better understand and treat pain. In this paper, we conceptualize pain as a 5E process, arguing that it is: Embodied, Embedded, Enacted, Emotive, and Extended. This perspective is applied using back pain as an exemplar and we explore potential clinical applications. With enactivism at the core of this approach, pain does not reside in a mysterious immaterial mind, nor is it an entity to be found in the blood, brain, or other bodily tissues. Instead, pain is a relational and emergent process of sense-making through a lived body that is inseparable from the world that we shape and that shapes us.

Assessing the reliability of the Laban Movement Analysis system

Abstract: The Laban Movement Analysis system (LMA) is a widely used system for the description of human movement. Here we present results of an empirical analysis of the reliability of the LMA system. Firstly, we developed a directed graph-based representation for the formaliza-tion of LMA. Secondly, we implemented a custom video annotation tool for stimulus presentation and annotation of the formalized LMA. Using these two elements, we conducted an experimental assessment of LMA reliability. In the experimental assessment of the reliability , experts-Certified Movement Analysts (CMA)-were tasked with identifying the differences between a "neutral" movement and the same movement executed with a specific variation in one of the dimensions of the LMA parameter space. The videos represented variations on the pantomimed movement of knocking at a door or giving directions. To be as close as possible to the annotation practice of CMAs, participants were given full control over the number of times and order in which they viewed the videos. The LMA annotation was captured by means of the video annotation tool that guided the participants through the LMA graph by asking them multiple-choice questions at each node. Participants were asked to first annotate the most salient difference (round 1), and then the second most salient one (round 2) between a neutral and gesture and the variation. To quantify the overall reliability of LMA, we computed Krippendorff's α. The quantitative data shows that the reliability, depending on how the two rounds are integrated, ranges between a weak and an acceptable reliability of LMA. The analysis of viewing behavior showed that, despite relatively large differences at the inter-individual level, there is no simple relationship between viewing behavior and individual performance (quantified as the level of agreement of the individual with the dominant rating). This research advances the state of the art in formalizing and implementing a reliability measure for the Laban Movement Analysis system. The experimental study we conducted allows identifying some of the strengths and weaknesses of the widely used movement coding system. Additionally, we have gained useful insights into the assessment procedure itself.

Are allocentric spatial reference frames compatible with theories of Enactivism

Abstract: Theories of Enactivism propose an action-oriented approach to understand human cognition. So far, however, empirical evidence supporting these theories has been sparse. Here, we investigate whether spatial navigation based on allocentric reference frames that are independent of the observer’s physical body can be understood within an action-oriented approach. Therefore, we performed three experiments testing the knowledge of the absolute orientation of houses and streets towards north, the relative orientation of two houses and two streets, respectively, and the location of houses towards each other in a pointing task. Our results demonstrate that under time pressure, the relative orientation of two houses can be retrieved more accurately than the absolute orientation of single houses. With infinite time for cognitive reasoning, the performance of the task using house stimuli increased greatly for the absolute orientation and surpassed the slightly improved performance in the relative orientation task. In contrast, with streets as stimuli participants performed under time pressure better in the absolute orientation task. Overall, pointing from one house to another house yielded the best performance. This suggests, first, that orientation and location information about houses are primarily coded in house-to-house relations, whereas cardinal information is deduced via cognitive reasoning. Second, orientation information for streets is preferentially coded in absolute orientations. Thus, our results suggest that spatial information about house and street orientation is coded differently and that house orientation and location is primarily learned in an action-oriented way, which is in line with an enactive framework for human cognition.

Embodied Spatial Knowledge Acquisition in Immersive Virtual Reality: Comparison of Direct Experience and Map Exploration

Abstract: Investigating spatial navigation in virtual environments enables to study spatial learning with different sources of information. Therefore, we designed a large virtual city and investigated spatial knowledge acquisition after direct experience in the virtual environment and compared this with results after exploration with an interactive map (Konig et al., 2019). Our results suggest that survey knowledge measured in a straight line pointing task between houses resulted in better accuracy after direct experience in VR than tasks directly based on cardinal directions and relative orientations. In contrast, after map exploration, the opposite pattern evolved. Taken together, our results suggest that the source of spatial exploration influenced spatial knowledge acquisition.

Robot life: simulation and participation in the study of evolution and social behavior

Abstract: This paper explores the case of using robots to simulate evolution, in particular the case of Hamilton's Law. The uses of robots raises several questions that this paper seeks to address. The first concerns the role of the robots in biological research: do they simulate something (life, evolution, sociality) or do they participate in something? The second question concerns the physicality of the robots: what difference does embodiment make to the role of the robot in these experiments. Thirdly, how do life, embodiment and social behavior relate in contemporary biology and why is it possible for robots to illuminate this relation? These questions are provoked by a strange similarity that has not been noted before: between the problem of simulation in philosophy of science, and Deleuze's reading of Plato on the relationship of ideas, copies and simulacra.