UX Design of a Big Data Visualization Application Supporting Gesture-Based Interaction with a Large Display

Ntoa, Stavroula; Birliraki, Chryssi; Drossis, Giannis; Margetis, George; Adami, Ilia; Stephanidis, Constantine

doi:10.1007/978-3-319-58521-5_20

Cited by 11 publications

(6 citation statements)

References 17 publications

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“…Therefore, gestures have been used in VR [25], medical volume data visualization [26] and scientific visualization. Ntoa et al [27] designed a big data visualization application supporting directional mid-air gesture interaction with a large display. It allowed users to navigate in a data center room by adjusting the camera and the view.…”

Section: A Tasks and Interactions For Visual Analyticsmentioning

confidence: 99%

User-Defined Interactions for Visual Data Exploration With the Combination of Smartwatch and Large Display

Xiao,

Liu

2024

IEEE Access

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The process of visual analytics is composed of the visual data exploration tasks supporting analytical reasoning. When performing analytical tasks with the interactive visual interfaces displayed by the large screen, physical discomforts such as gorilla-arm effect can be easily caused. To enrich the input space for analysts, there has been some researches concerning the cross-device analysis combining mobile devices with the large display. Although the effectiveness of expert-level designs has been demonstrated, little is known of the ordinary users' preferences for using a mobile device to issue commands, especially the small one like smartwatch. We implement a three-stage study to investigate and validate these preferences. A total of 181 distinctive gestural inputs and 52 interface designs for 21 tasks were collected from analysts. Expert designers selected the best practices from these user-defined interactions. A performance test was subsequently developed to assess the selected interactions in terms of quantitative statistics and subjective ratings. Our work provides empirical support and proposes a set of design guidelines for optimizing watch-based interactions aimed at remote control of visual data on the large display. Through this research, we hope to advance the development of smartwatches as visual analytics tools and provide visual analysts with a better usage experience.INDEX TERMS User-defined interaction, visual analytics, smartwatch, large display.

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Section: A Tasks and Interactions For Visual Analyticsmentioning

confidence: 99%

User-Defined Interactions for Visual Data Exploration With the Combination of Smartwatch and Large Display

Xiao,

Liu

2024

IEEE Access

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“…8.6.5. Data Center Infrastructure Management Data Center Infrastructure Management Information World was implemented as a standalone Unity3D project enhanced by a variety of custom scripts to facilitate Big Data storage and retrieval, following an iterative design process [307]. The virtual world aims at helping data center experts to get an intuitive overview of a specific data center room, regarding its current condition.…”

Section: The Augmented Worldmentioning

confidence: 99%

“…The second version of the application was assessed through heuristic evaluation [306] by three User Experience (UX) experts. Based on the results of the evaluation, the third version of the application was implemented, featuring UI improvements and new functionality to support the user's spatial orientation in the visualised room [307]. Although the system had already been evaluated by experts and updated accordingly, an additional evaluation by users was required, since even though heuristic evaluation [305] finds many usability problems that are not found by usability testing, it is also possible to miss some problems which can be discovered only through usability testing [307].…”

Section: Usability Evaluation Of the Data Centre 3d Visualization Applicationmentioning

confidence: 99%

“…Based on the results of the evaluation, the third version of the application was implemented, featuring UI improvements and new functionality to support the user's spatial orientation in the visualised room [307]. Although the system had already been evaluated by experts and updated accordingly, an additional evaluation by users was required, since even though heuristic evaluation [305] finds many usability problems that are not found by usability testing, it is also possible to miss some problems which can be discovered only through usability testing [307]. Heuristic evaluation and user testing should better be employed in an iterative approach, carrying out the heuristic evaluation first and trying to eliminate as many problems as possible before involving users.…”

Section: Usability Evaluation Of the Data Centre 3d Visualization Applicationmentioning

confidence: 99%

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Information worlds

Drossis¹,

Δρόσης²

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Η παρούσα διατριβή στοχεύει να συνεισφέρει μια γενική και ολιστική προσέγγιση για τη δημιουργία εφαρμογών που αντικαθιστούν (Εικονική Πραγματικότητα), επαυξάνουν (Επαυξημένη Πραγματικότητα) ή συνυφαίνουν πραγματικούς και εικονικούς κόσμους (Μεικτή Πραγματικότητα) σε μια προσπάθεια να απεικονίσει μεγάλους όγκους δεδομένων που ανήκουν στους απαιτητικούς τομείς των Μεγάλων Δεδομένων και της Πολιτιστικής Κληρονομιάς.Με αυτό το σκοπό παρουσιάζεται ένα πλαίσιο χρήσης (framework) βασισμένο στις έννοιες των Κόσμων Πληροφορίας και των Αντικειμένων Πληροφορίας για να αναπαραστήσει υπαρκτά ή εικονικά περιβάλλοντα που περιλαμβάνουν αντίστοιχα πληροφορία που ανήκει σε διακριτές οντότητες, ενώ ωστόσο είναι ευέλικτο και διαλειτουργικό με ποικίλες πηγές δεδομένων. Το πλαίσιο παρέχει περισσότερα από 15 δομικά στοιχεία (components) τα οποία μπορούν να ενσωματωθούν απευθείας σε εφαρμογές και μια επεκτάσιμη αρχιτεκτονική που επιτρέπει μελλοντικές προσθήκες. Επιπλέον, το framework υποστηρίζει τον ορισμό και την οπτικοποίηση προσωποποιημένων ιστοριών (οι οποίες έχουν δημιουργηθεί από επαγγελματίες του τομέα ή από τελικούς χρήστες). Αναφορικά με την αλληλεπίδραση, η διατριβή αυτή προτείνει τη χρήση πολυτροπικών, φυσικών μεθόδων αλληλεπίδρασης και ενσωματώνει απρόσκοπτα εφαρμογές Επαυξημένης, Εικονικής και Μικτής Πραγματικότητας σε περιβάλλοντα Διάχυτης Νοημοσύνης.Το πλαίσιο χρήσης Κόσμοι Πληροφορίας μπορεί να αποτελέσει ένα πολύτιμο δομικό στοιχείο για τη δημιουργία δυναμικών οπτικοποιήσεων μέσω της Χ Πραγματικότητας (X Reality), παρέχοντας διαλειτουργικότητα με διάφορες πηγές δεδομένων, έτοιμα προς χρήση εργαλεία απεικόνισης πληροφορίας, επεκτασιμότητα για την προσθήκη επιπλέον στοιχείων και ένα νοητικό μοντέλο που καλύπτει μια πληθώρα αναγκών και μπορεί να επεκταθεί.Παρουσιάζεται η υπόθεση χρήσης ενός έξυπνου μουσείου το οποίο απεικονίζει πυκνά διασυνδεδεμένη και αραιά τοποθετημένη στατική πληροφορία στο απαιτητικό πλαίσιο της Πολιτιστικής Κληρονομιάς χρησιμοποιώντας επαυξημένη και εικονική πραγματικότητα. Επιπλέον παρουσιάζεται η υπόθεση χρήσης μιας εφαρμογής διαχείρισης υποδομών ενός κέντρου δεδομένων (data center), αναδεικνύοντας τη δυνατότητα των Κόσμων Πληροφορίας να ανταπεξέλθουν σε μεγάλους όγκους δεδομένων που αλλάζουν με μεγάλη ταχύτητα και είναι περιορισμένα χωρικά. Τα αποτελέσματα αυτής της διατριβής έχουν εγκατασταθεί σε δημόσιους χώρους, σε εκθέσεις και διεθνή συνέδρια. Η κάθε υπόθεση χρήσης έχει αξιολογηθεί από περισσότερους από 20 χρήστες ούτως ώστε να αξιολογηθεί το τελικό αποτέλεσμα που παράγεται από τους Κόσμους Πληροφορίας ως προς την ευχρηστία και την εμπειρία χρήσης. Τα εξαιρετικά αποτελέσματα που εξήχθησαν από την αξιολόγηση αναδεικνύουν τις δυνατότητες που έχουν η Επαυξημένη, η Εικονική και η Μεικτή Πραγματικότητα αναφορικά με την αποδοτικότητα και την υιοθέτηση της τεχνολογίας από τους τελικούς χρήστες, ενώ παράλληλα αποτελούν ένα κίνητρο για την περαιτέρω βελτίωση και επέκταση του παρουσιαζόμενου πλαισίου χρήσης.

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“…Further work has identified the feasibility of these techniques for collaborative situations [163,164,266], and the user perception of territory in the same [329]. Ntoa et al [224] use mid-air gestures for navigation and orientation in a 3d map overview of a data centre and support other basic visualisation tools with the same gesture set.…”

Section: Interaction Techniques For Large High-resolution Displaysmentioning

confidence: 99%

Visualisation of Long in Time Dynamic Networks on Large Touch Displays

Lee¹

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Any dataset containing information about relationships between entities can be modelled as a network. This network can be static, where the entities/relationships do not change over time, or dynamic, where the entities/relationships change over time. Network data that changes over time, dynamic network data, is a powerful resource when studying many important phenomena, across wide-ranging ﬁelds from travel networks to epidemiology.However, it is very difﬁcult to analyse this data, especially if it covers a long period of time (e.g, one month) with respect to its temporal resolution (e.g. seconds). In this thesis, we address the problem of visualising long in time dynamic networks: networks that may not be particularly large in terms of the number of entities or relationships, but are long in terms of the length of time they cover when compared to their temporal resolution.We ﬁrst introduce Dynamic Network Plaid, a system for the visualisation and analysis of long in time dynamic networks. We design and build for an 84" touch-screen vertically-mounted display as existing work reports positive results for the use of these in a visualisation context, and that they are useful for collaboration. The Plaid integrates multiple views and we prioritise the visualisation of interaction provenance. In this system we also introduce a novel method of time exploration called ‘interactive timeslicing’. This allows the selection and comparison of points that are far apart in time, a feature not offered by existing visualisation systems. The Plaid is validated through an expert user evaluation with three public health researchers.To conﬁrm observations of the expert user evaluation, we then carry out a formal laboratory study with a large touch-screen display to verify our novel method of time navigation against existing animation and small multiples approaches. From this study, we ﬁnd that interactive timeslicing outperforms animation and small multiples for complex tasks requiring a compari-son between multiple points that are far apart in time. We also ﬁnd that small multiples is best suited to comparisons of multiple sequential points in time across a time interval.To generalise the results of this experiment, we later run a second formal laboratory study in the same format as the ﬁrst, but this time using standard-sized displays with indirect mouse input. The second study reafﬁrms the results of the ﬁrst, showing that our novel method of time navigation can facilitate the visual comparison of points that are distant in time in a way that existing approaches, small multiples and animation, cannot. The study demonstrates that our previous results generalise across display size and interaction type (touch vs mouse).In this thesis we introduce novel representations and time interaction techniques to improve the visualisation of long in time dynamic networks, and experimentally show that our novel method of time interaction outperforms other popular methods for some task types.

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UX Design of a Big Data Visualization Application Supporting Gesture-Based Interaction with a Large Display

Cited by 11 publications

References 17 publications

User-Defined Interactions for Visual Data Exploration With the Combination of Smartwatch and Large Display

User-Defined Interactions for Visual Data Exploration With the Combination of Smartwatch and Large Display

Information worlds

Visualisation of Long in Time Dynamic Networks on Large Touch Displays

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