Mine, Yours, Ours : Coordination through Workspace Arrangements and Territoriality in Tabletop Interaction

Previous research shows that territories help people coordinate their task and social interaction at large interactive tabletops. However, little is known about the interplay between territorially and the reorientation of digital objects and their influence on task performance. In this paper, we advance the hypothesis that territories are states of spatial arrangements continually changing during the collaborative activity and seek to better understand their role as a main mechanism in coordinating group activities. We report results from an explorative tabletop study that compares two types of technical settings workspaces supporting a brainstorming task. Our results show evidence of different territorial strategies dependent on the two conditions. We discuss the role of territoriality and orientation of digital notes as a mechanism for coordinating group activity and their influence on task performance and outcome. Finally, we present design recommendations derived from our findings.publishe

Consumers’ Emotional Responses and Emotion Regulation Strategies During Multistage Waiting in Restaurants

Service consumption often involves waiting during the different stages of the delivery process. This research examines the effect of multistage waiting on consumers’ emotional responses and emotion regulation strategies. The study is conducted at a virtual restaurant in Second Life, an online simulation website. The results show that there is a significant interaction effect between consumption stage and the type of emotional responses. Although both anxiety and anger are the most intense emotions felt during preprocess waiting, anxiety is the strongest emotion felt during in-process waiting, and anger is the most salient emotional reaction during postprocess waiting. Results also indicate that there is a significant interaction effect between consumption stage and the type of emotion regulation strategies used by consumers. Attentional deployment and reappraisal are dominant emotion regulation strategies used by consumers during preprocess waiting; in addition, reappraisal and attentional deployment are the predominant strategies used during in-process waiting and postprocess waiting, respectively. The theoretical, methodological, and managerial contributions of the results are also discussed

Assessing screening and evaluation decision support systems: A resource-matching approach

10.1287/isre.1080.0232Information Systems Research212305-32

Linear projection-based CEST parameter estimation

Isolated evaluation of multi-parametric in vivo CEST MRI often requires complex computational processing for both correction of B0 and B1 inhomogeneity and contrast generation. For that, sufficiently densely sampled Z-spectra need to be acquired. The list of acquired frequency offsets largely determines the total CEST acquisition time, while potentially representing redundant information. In this work, a linear projection-based multi-parametric CEST evaluation method is introduced that offers fast B0 and B1 inhomogeneity correction, contrast generation and feature selection for CEST data, enabling reduction of the overall measurement time. To that end, CEST data acquired at 7T in 6 healthy subjects and in one brain tumor patient were conventionally evaluated by interpolation-based inhomogeneity correction and Lorentzian curve fitting. Linear regression was used to obtain coefficient vectors that directly map uncorrected data to corrected Lorentzian target parameters. L1 regularization was applied to find subsets of the originally acquired CEST measurements that still allow for such a linear projection mapping. The linear projection method allows fast and interpretable mapping from acquired raw data to contrast parameters of interest, generalizing from healthy subject training data to unseen healthy test data and to the tumor patient dataset. The L1 regularization method shows that a fraction of the acquired CEST measurements is sufficient to preserve tissue contrasts, offering up to 2.8-fold reduction of scan time. Similar observations as for the 7T data can be made for data from a clinical 3T scanner. Being a fast and interpretable computation step, the proposed method is complementary to neural networks, which have been recently employed for similar purposes. The scan time acceleration offered by the L1 regularization ('CEST-LASSO') constitutes a step towards better applicability of multi-parametric CEST protocols in clinical context