The Common Characteristics of User-Defined and Mid-Air Gestures for Rotating 3D Digital Contents

Chen, Li-Chieh; Cheng, Yun-Maw; Chu, Po-Ying; Sandnes, Frode Eika

doi:10.1007/978-3-319-40244-4_2

Cited by 2 publications

(3 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Generally, there are many other interesting domains of application for which elicitation studies have been conducted ( Table 3) like mid-air manipulations in Virtual Reality [20,35,48,59], Smart Home environments [7,25,38,46] Mobile Devices [4,43,47,49] for Human-Robot/Drone manipulation [45,57,58], Augmented Reality [33,39], Desktop computer [30,50], In-Vehicle secondary driving task [52,56] Smartwatches [11,32], Gaming [19], CAD [53], Text readers [31], Operating rooms [23] and Digital exhibition [21].…”

Section: Application Domainsmentioning

confidence: 99%

“…Many other dimensions of the appropriateness of a mid-air gesture were examined, such as comfort [11,23,27,36,44,60], perceived fatigue [24,36,40,50], discoverability [34,55,58] learnability (how easy gestures can be learned) [24,27,50], gesture simplicity [26,45,61], body parts suitability [19,73], concurrent gestures during intense gameplay [19] and unimanual or bimanual gestures [48,53]. Finally, a few studies (7 out of 47, 14.9%) did not mentioned any specific focus of the gestures proposed.…”

Section: On Gesture "Appropriateness"mentioning

confidence: 99%

See 1 more Smart Citation

Gesture Elicitation Studies for Mid-Air Interaction: A Review

Vogiatzidakis

Koutsabasis

2018

MTI

View full text Add to dashboard Cite

Mid-air interaction involves touchless manipulations of digital content or remote devices, based on sensor tracking of body movements and gestures. There are no established, universal gesture vocabularies for mid-air interactions with digital content or remote devices based on sensor tracking of body movements and gestures. On the contrary, it is widely acknowledged that the identification of appropriate gestures depends on the context of use, thus the identification of mid-air gestures is an important design decision. The method of gesture elicitation is increasingly applied by designers to help them identify appropriate gesture sets for mid-air applications. This paper presents a review of elicitation studies in mid-air interaction based on a selected set of 47 papers published within 2011-2018. It reports on: (1) the application domains of mid-air interactions examined; (2) the level of technological maturity of systems at hand; (3) the gesture elicitation procedure and its variations; (4) the appropriateness criteria for a gesture; (5) participants number and profile; (6) user evaluation methods (of the gesture vocabulary); (7) data analysis and related metrics. This paper confirms that the elicitation method has been applied extensively but with variability and some ambiguity and discusses under-explored research questions and potential improvements of related research.Multimodal Technologies and Interact. 2018, 2, 65 2 of 21 such thing as a universal gesture vocabulary for every application" [15]. Thus, the identification of appropriate gestures for mid-air user interactions in terms of criteria like discoverability, memorability, performance, reliability and comfort, is an important design decision. This must be made at the early stages of system development and it severely affects the development course of every mid-air application project as well as the user experience (UX) of intended users.Emerging from the field of participatory design, gesture elicitation studies have been widely applied to help designers select the most appropriate gesture set for a given application. Although the method does not have a strict procedure, the main approach is to first define what operations (called "referents") have to be executed through gestures, then ask the end users to propose at least one gesture that they find preferable for each referent and finally to extract the gesture vocabulary after analysing the collected data [16]. The goal of a gesture elicitation study is to extract "good" gestures, which according to Morris et al. [17] are "gestures that meet certain design criteria such as discoverability, ease-of-performance, memorability, or reliability."Over the last few years, several elicitation studies have been conducted to identify mid-air gesture vocabularies for many different application domains and contexts, devices, types of digital content and tracking technologies subsumed. A survey of elicitation studies of mid-air interaction is useful to HCI researchers and interaction designers for deepening th...

show abstract

Section: Application Domainsmentioning

confidence: 99%

Section: On Gesture "Appropriateness"mentioning

confidence: 99%

Gesture Elicitation Studies for Mid-Air Interaction: A Review

Vogiatzidakis

Koutsabasis

2018

MTI

View full text Add to dashboard Cite

show abstract

“…As Kinect sensors are developed, many research studies are conducted to recognize human movement activities using the sensors. [9,[15][16][17][18][19][20][21] A technique to improve Kinect-skeleton estimation is reported in [15]. To correct radial distortion of RGB camera and find the transformation matrix for the correspondence between the RGB and depth image of Kinect v2 is described in [16].…”

Section: Introductionmentioning

confidence: 99%

Hand Gesture Recognition for Kinect v2 Sensor in the Near Distance Where Depth Data Are Not Provided

Kim¹,

Lee²

2016

IJSEIA

View full text Add to dashboard Cite

Kinect v2 sensor does not provide depth information and skeletal traction function in near distance from the sensor. That is why many researches, to recognize hand gestures, are focused on the skeletal tracking only inside the range of detection. This paper proposes a method which can recognize hand gestures in the distance less than 0.5 meter without conventional skeletal tracking when Kinect v2 sensor is used. The proposed method does not use the information of depth sensor and infrared sensor, but detect hand area and count the number of isolated areas which are generated by drawing a circle in the center of the hand area. This method introduces new detectable gestures without high cost, so that it can be a substitute for the existing mouse-movement controlling and dynamic gesture recognition method such as clicking a mouse, clicking and dragging, rotating an image with two hands, and scaling an image with two hands in near distance. The gestures are appropriate for the user interface of smart devices which employ the interactions based on hand gestures in near distance.

show abstract

The Common Characteristics of User-Defined and Mid-Air Gestures for Rotating 3D Digital Contents

Cited by 2 publications

References 10 publications

Gesture Elicitation Studies for Mid-Air Interaction: A Review

Gesture Elicitation Studies for Mid-Air Interaction: A Review

Hand Gesture Recognition for Kinect v2 Sensor in the Near Distance Where Depth Data Are Not Provided

Contact Info

Product

Resources

About