Designing concurrent full-body gestures for intense gameplay

Silpasuwanchai, Chaklam; Ren, Xiangshi

doi:10.1016/j.ijhcs.2015.02.010

Cited by 48 publications

(29 citation statements)

References 42 publications

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“…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%

“…In this case, a set of referents (typically user commands) about a known system (e.g., the TV) is provided to users. For example, in the work of [19], three elicitation studies are conducted to identify different gesture sets based on different body parts for intense gameplay. Almost half of the elicitation studies identified (22 out of 47, 46.8%) were conducted on the basis of referent sets about a known concept.…”

Section: Technological Maturity Of Systemsmentioning

confidence: 99%

“…In the second study (also referred as "choice-based elicitation study" [19,37]), for those referents that scored a low consensus rate, a pre-defined list of representative gestures (proposed by experts) was presented to participants. Similarly, in a research investigating concurrent body gestures during intense gameplay, Silpasuwanchai and Ren [19], conducted a choice-based elicitation study, since the notion of simultaneous gestures was relatively uncommon for users. In their study, the list of pre-defined gestures was not proposed by the authors but it was populated by the two, previously conducted, elicitation studies.…”

Section: Gesture Elicitation Process and Variationsmentioning

confidence: 99%

“…Referents can be presented to the participants in various ways. Depending on the type and maturity of the prototype used, referents were either demonstrated through GUI animations [41,54], described as a text message on the screen, or verbally [4,28,37,61], presented as a video [51,61] or still images [19,24,34,55], or presented by manipulating the actual artefact [7,45].…”

Section: Referent Presentationmentioning

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%

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Gesture Elicitation Studies for Mid-Air Interaction: A Review

Vogiatzidakis

Koutsabasis

2018

MTI

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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...

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Section: Application Domainsmentioning

confidence: 99%

Section: Technological Maturity Of Systemsmentioning

confidence: 99%

Section: Gesture Elicitation Process and Variationsmentioning

confidence: 99%

Section: Referent Presentationmentioning

confidence: 99%

Section: On Gesture "Appropriateness"mentioning

confidence: 99%

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Gesture Elicitation Studies for Mid-Air Interaction: A Review

Vogiatzidakis

Koutsabasis

2018

MTI

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UKI: universal Kinect‐type controller by ICE Lab

Paliyawan

Thawonmas

2017

Softw Pract Exp

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Summary Universal Kinect‐type‐controller by ICE Lab (UKI, pronounced as ‘You‐key’) was developed to allow users to control any existing application by using body motions as inputs. The middleware works by converting detected motions into keyboard and/or mouse‐click events and sending them to a target application. This paper presents the structure and design of core modules, along with examples from real cases to illustrate how the middleware can be configured to fit a variety of applications. We present our designs for interfaces that decode all configuration details into a human‐interpretable language, and these interfaces significantly promote user experience and eliminate the need for programming skill. The performance of the middleware is evaluated on fighting‐game motion data, and we make the data publicly available so that they can be used in other researches. UKI welcomes its use by everyone without any restrictions on use; for instance, it can be used to promote healthy life through a means of gaming and/or used to conduct serious research on motion systems. The middleware serves as a shortcut in the development of motion applications—coding of an application to detect motions can be replaced with simple clicks on UKI. Copyright © 2017 John Wiley & Sons, Ltd.

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Evaluation of the Influence of Interface Symbols on User Hand-Gestures in Augmented Reality

Chen

2021

Advances in Ergonomics in Design

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Designing concurrent full-body gestures for intense gameplay

Cited by 48 publications

References 42 publications

Gesture Elicitation Studies for Mid-Air Interaction: A Review

Gesture Elicitation Studies for Mid-Air Interaction: A Review

UKI: universal Kinect‐type controller by ICE Lab

Evaluation of the Influence of Interface Symbols on User Hand-Gestures in Augmented Reality

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