VRRRRoom

Sousa, Maurício; Mendes, Daniel; Paulo, Soraia Figueiredo; Matela, Nuno; Jorge, Joaquim; Lopes, Daniel Simões

doi:10.1145/3025453.3025566

Cited by 70 publications

(17 citation statements)

References 22 publications

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“…Similar findings were reported in a more recent look at studies and participants [67]: in interviews or lab studies (both of which contain qualitative feedback and/or quantitative Likert-scale ratings), the majority of studies are conducted with fewer than 20 participants. In fact, for qualitative feedback and quantitative answers to Likert scales, the average is likely to be even lower and we found that often such research projects report results with 15 or less respondents (e.g., [68][69][70][71][72][73][74]), and sometimes with numbers as low as one (e.g., [70]) or two (e.g., [71]).…”

Section: Response Rate and Sample Sizementioning

confidence: 90%

Open up: a survey on open and non-anonymized peer reviewing

Besançon

Rönnberg

Löwgren

et al. 2020

Res Integr Peer Rev

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Background Our aim is to highlight the benefits and limitations of open and non-anonymized peer review. Our argument is based on the literature and on responses to a survey on the reviewing process of alt.chi, a more or less open review track within the so-called Computer Human Interaction (CHI) conference, the predominant conference in the field of human-computer interaction. This track currently is the only implementation of an open peer review process in the field of human-computer interaction while, with the recent increase in interest in open scientific practices, open review is now being considered and used in other fields. Methods We ran an online survey with 30 responses from alt.chi authors and reviewers, collecting quantitative data using multiple-choice questions and Likert scales. Qualitative data were collected using open questions. Results Our main quantitative result is that respondents are more positive to open and non-anonymous reviewing for alt.chi than for other parts of the CHI conference. The qualitative data specifically highlight the benefits of open and transparent academic discussions. The data and scripts are available on https://osf.io/vuw7h/, and the figures and follow-up work on http://tiny.cc/OpenReviews. Conclusion While the benefits are quite clear and the system is generally well-liked by alt.chi participants, they remain reluctant to see it used in other venues. This concurs with a number of recent studies that suggest a divergence between support for a more open review process and its practical implementation.

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Section: Response Rate and Sample Sizementioning

confidence: 90%

Open up: a survey on open and non-anonymized peer reviewing

Besançon

Rönnberg

Löwgren

et al. 2020

Res Integr Peer Rev

View full text Add to dashboard Cite

show abstract

“…Moreover, emerging mixed-reality displays allow for direct manipulation with the virtual content in space, e.g., selecting points and placing cutting planes [3]. Most commonly, these operations are performed through free mid-air interaction where users perform interactions without any physical support, while controllers-e.g., as in the case of the HTC Vive, touch surface [37], paper [38], or even rubber ball [21]are often used for precision and visual feedback. Still, mid-air interaction suffers from fatigue due to arm movements and reduced precision due to unintended body movements, tremor, and fatigue.…”

Section: Interaction With 3-dimensional Datamentioning

confidence: 99%

“…CubicMouse [17] allows for selection inside a 3D volume through movable rods and buttons mounted to the device. Sousa et al [37] designed touch-based interactions for VR exploration and selection of 3D slices of CT volume scan data. Lopes et al [30] developed a VR system for exploring CT colonography data in 3D using mid-air interactions to navigate and view the detailed CT slices.…”

Section: Tangible User Interfacesmentioning

confidence: 99%

Embodied Axes: Tangible, Actuated Interaction for 3D Augmented Reality Data Spaces

Cordeil

Bach

Cunningham

et al. 2020

Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

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We present Embodied Axes, a controller which supports selection operations for 3D imagery and data visualisations in Augmented Reality. The device is an embodied representation of a 3D data space-each of its three orthogonal arms corresponds to a data axis or domain specific frame of reference. Each axis is composed of a pair of tangible, actuated range sliders for precise data selection, and rotary encoding knobs for additional parameter tuning or menu navigation. The motor actuated sliders support alignment to positions of significant values within the data, or coordination with other input: e.g., mid-air gestures in the data space, touch gestures on the surface below the data, or another Embodied Axes device supporting multiuser scenarios. We conducted expert enquiries in medical imaging which provided formative feedback on domain tasks and refinements to the design. Additionally, a controlled user study was performed and found that the Embodied Axes was overall more accurate than conventional tracked controllers for selection tasks.

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“…Nielsen and Molich [36] found that with six people one can find, on average about 80% of all usability problems. Moreover, Wongsuphasawat and Shneiderman [37] conducted a usability test on eight participants, Isenberg et al [38] showed that on average between 1-5 participants are used in evaluation research projects, Lundstrom et al [39] conducted a user study including five orthopaedic surgeons, and Sousa et al [40] conducted a study on six radio-diagnostics on how virtual reality can assist them in their work. Therefore, based on this knowledge, five domain experts (two female) from VPS, ages 38-53 and median = 48, were recruited for this study.…”

Section: Participantsmentioning

confidence: 99%

A Study on Visual Representations for Active Plant Wall Data Analysis

Hassan

Liu

Besançon

et al. 2019

Data

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The indoor climate is closely related to human health, well-being, and comfort. Thus, an understanding of the indoor climate is vital. One way to improve the indoor climates is to place an aesthetically pleasing active plant wall in the environment. By collecting data using sensors placed in and around the plant wall both the indoor climate and the status of the plant wall can be monitored and analyzed. This manuscript presents a user study with domain experts in this field with a focus on the representation of such data. The experts explored this data with a Line graph, a Horizon graph, and a Stacked area graph to better understand the status of the active plant wall and the indoor climate. Qualitative measures were collected with Think-aloud protocol and semi-structured interviews. The study resulted in four categories of analysis tasks: Overview, Detail, Perception, and Complexity. The Line graph was found to be preferred for use in providing an overview, and the Horizon graph for detailed analysis, revealing patterns and showing discernible trends, while the Stacked area graph was generally not preferred. Based on these findings, directions for future research are discussed and formulated. The results and future directions of this research can facilitate the analysis of multivariate temporal data, both for domain users and visualization researchers.

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VRRRRoom

Cited by 70 publications

References 22 publications

Open up: a survey on open and non-anonymized peer reviewing

Open up: a survey on open and non-anonymized peer reviewing

Embodied Axes: Tangible, Actuated Interaction for 3D Augmented Reality Data Spaces

A Study on Visual Representations for Active Plant Wall Data Analysis

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