Palpation is a physical examination technique where objects, e.g., organs or body parts, are touched with fingers to determine their size, shape, consistency and location. Many medical procedures utilize palpation as a supplementary interaction technique and it can be therefore considered as an essential basic method. However, palpation is mostly neglected in medical training simulators, with the exception of very specialized simulators that solely focus on palpation, e.g., for manual cancer detection. In this article we propose a novel approach to enable haptic palpation interaction for virtual reality-based medical simulators. The main contribution is an extensive user study conducted with a large group of medical experts. To provide a plausible simulation framework for this user study, we contribute a novel and detailed interaction algorithm for palpation with tissue dragging, which utilizes a multi-object force algorithm to support multiple layers of anatomy and a pulse force algorithm for simulation of an arterial pulse. Furthermore, we propose a modification for an off–the–shelf haptic device by adding a lightweight palpation pad to support a more realistic finger grip configuration for palpation tasks. The user study itself has been conducted on a medical training simulator prototype with a specific procedure from regional anesthesia, which strongly depends on palpation. The prototype utilizes a co-rotational finite-element approach for soft tissue simulation and provides bimanual interaction by combining the aforementioned techniques with needle insertion for the other hand. The results of the user study suggest reasonable face validity of the simulator prototype and in particular validate medical plausibility of the proposed palpation interaction algorithm.
We describe the metaprogramming framework currently used in Lean, an interactive theorem prover based on dependent type theory. This framework extends Lean's object language with an API to some of Lean's internal structures and procedures, and provides ways of reflecting object-level expressions into the metalanguage. We provide evidence to show that our implementation is performant, and that it provides a convenient and flexible way of writing not only small-scale interactive tactics, but also more substantial kinds of automation.bridge the gap between interactive use and automation. Lean implements a version of the Calculus of Inductive Constructions [Coquand and Huet 1988;Coquand and Paulin 1990], the details of which are described in Section 3. Its elaborator and unification algorithms are designed around the use of type classes, which support algebraic reasoning, programming abstractions, and other generally useful means of expression. Lean also has parallel compilation and checking of proofs, and provides a server mode that supports a continuous compilation and rich user interaction in editing environments such as Emacs and Visual Studio Code. It currently has a conditional term rewriter and several components commonly found in state-of-the-art Satisfiability Modulo Theories (SMT) solvers, such as forward chaining, congruence closure [Nelson and Oppen 1980], handling of associative and commutative operators, and E-matching [Detlefs et al. 2005].In Lean, definitions are compiled to bytecode that can then be evaluated in an efficient virtual machine. This is one sense in which Lean can be viewed as a programming language. (Native compilation is under development.) We obtain a metaprogramming language by exposing an API for procedures implemented natively in Lean's underlying C++ code base, thus taking us outside the axiomatic framework. Within a Lean source file, the keyword meta marks a clear distinction between definitions that make use of such extensions and those that are in the pure object language. Metadefinitions can also call themselves recursively, relaxing the termination restriction imposed by ordinary type theory. Otherwise, definitions and metadefinitions look very much the same, and can be written side-by-side in a Lean source file.There are a number of advantages to this approach. One is that users do not have to learn a new programming language to write metaprograms; they can work with the same constructs and notation used to define ordinary objects in the theorem prover's library. Another advantage is that everything in that library is available for metaprogramming purposes, including integers, lists, datatype constructors, records, and algebraic structures. Finally, metaprograms can be written and debugged in the same interactive environment, making it possible to develop the object library and supporting automation at the same time.A key application for metaprogramming is to implement tactics, which is to say, procedures which facilitate interactive theorem proving by carrying out straightf...
Purpose – This paper aims to investigate the effects of different response options to a negative consumer review. When consumers buy online, they are often confronted with consumer reviews. A negative consumer review on an online shopping website may keep consumers from buying the product. Therefore, negative online consumer reviews are a serious problem for brands. Design/methodology/approach – In an online experiment of 446 participants, different response options towards a negative consumer review on an online shopping website were examined. The experimental data were analysed with linear regression models using product purchase intentions as the outcome variable. Findings – The results indicate that a positive customer review counteracts a negative consumer review more effectively than a positive brand response, whereas brand strength moderates this relationship. Including a reference to an independent, trusted source in a brand or a customer response is only a limited strategy for increasing the effectiveness of a response. Research limitations/implications – Additional research on other product categories and with subjects other than students is suggested to validate the findings. In future research, multiple degrees of the phrasing’s strength of the reference could be used. Practical implications – Assuming high quality products, brands should encourage their customers to write reviews. Strong brands can also reassure consumers by responding, whereas weak brands cannot. Originality/value – This research contributes to the online consumer reviews literature with new insights about the role of brand strength and referencing to an independent, trusted source.
Purpose The purpose of this paper is to investigate the impact of symbolic product information (symbolic product design) on consumers’ perceived brand evaluations. In an experimental setting, the authors consider as key factors the congruence between symbolic product design and product category, the level of product involvement as well as brand strength. Design/methodology/approach In an experiment of 490 participants, consumers are confronted to different symbolic product designs connotations. Based on the cognitive process model “SARA” (selective activation, reconstruction and anchoring), the authors examined how symbolic product design associations are used as heuristics in the working memory when making brand judgement. Findings The results show that product design associations are used in consumers’ information processing as anchor for brand evaluations. This effect is stronger if symbolic design associations are incongruent to the product category because of consumers’ deeper elaboration process. Furthermore, the impact of symbolic product design is higher for weak compared to strong brands. Research limitations/implications This research supports the cognitive process model “SARA” being an appropriate foundation explaining the effects of symbolic product design. Further research should extend this experiment, using a field study in a more realistic setting and/or a choice situation between different alternative product designs at the point of sale. Furthermore, the consumers’ elaboration process should be manipulated differently, e.g. in a mental load condition. Practical implications Symbolic product design is important to enhance brand association networks in the consumers’ mind, particularly if the brand is weak. Marketers should use incongruent symbolic product information to differentiate from competitors who use “stereotype” product designs. Originality/value Research about product design in the marketing discipline is still limited. The authors analyse the impact of symbolic product design on brand evaluations in an experimental setting of 490 respondents in four product categories. The findings support that consumers use product design as heuristics to evaluate brands.
The anOPCAB technique with avoidance of any aortic manipulation is an effective tool to minimize the risk of early strokes during coronary artery bypass grafting, and thus, should be considered as a routine approach. In contrast, additional preventive strategies against delayed strokes remain to be elaborated.
Subject-specific training of RA is supported in a virtual environment. We have adapted segmentation algorithms and developed a VR-based simulator for the inguinal region for use in training for different peripheral nerve blocks. In contrast to available VR-based simulators, our simulation offers anatomical variety.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.