Estimating Production Time of Touchless Hand Drawing Gestures

Erazo, Orlando; Pino, José A.; Antunes, Pedro

doi:10.1007/978-3-319-22698-9_38

Cited by 1 publication

(6 citation statements)

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“…Model-based evaluation can also be used to analyze gestures. Current existing models allow estimating performance scores to produce mid-air gestures [10,9,39] that can be used to compare gestures and/or to create gesture sets, but they do not consider the possibility of performing a same gesture in different manners.…”

Section: Related Workmentioning

confidence: 99%

“…The developed application interface consisted of an augmented video blending UI controls and the real environment. Augmented video was used trying to avoid participant distractions while performing the tasks [10,9]. It means participants were able to see themselves in the projected display like looking in a mirror.…”

Section: Apparatusmentioning

confidence: 99%

“…Inputs were considered right if participants followed the instructions correctly. No additional visual feedback was provided to prevent some effect [10,32]. In addition, we decided to make use of a Wizard of Oz design [7,27,12] taking into account that participants were instructed to perform gestures in the articulation they preferred rather than being limited to the capabilities of a recognition system.…”

Section: Apparatusmentioning

confidence: 99%

“…They had to create gestures for a set of 20 gesture types (see Figure 1). The gestures set includes geometric shapes, letters, numbers, and symbols similar to the ones used in previous works on touch and touchless interactions [32,33,34,3,42,10]. The selection of these gestures aimed to be general enough trying participants could articulate them without visual representations and under unconstrained conditions [33].…”

Section: Procedures and Tasksmentioning

confidence: 99%

“…One of them may be the appropriateness of the candidate gestures to the intended meaning by considering features like user preferences [45,27,24,14], social acceptability [35], teaching/learning [15], or memorability [25]. The time efficiency to perform the various gestures is another criterion to select gestures [10]. Other researchers have focused on notations or formal gesture specifications [6,38], gesture recognition [43], and also studied specific gestures [26,13].…”

Section: Introductionmentioning

confidence: 99%

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Understanding Gesture Articulations Variability

Erazo

Rekik

Grisoni

et al. 2017

Lecture Notes in Computer Science

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Interfaces based on mid-air gestures often use a one-to-one mapping between gestures and commands, but most remain very basic. Actually, people exhibit inherent intrinsic variations for their gesture articulations because gestures carry dependency with both the person producing them and the specific context, social or cultural, in which they are being produced. We advocate that allowing applications to map many gestures to one command is a key step to give more flexibility, avoid penalizations, and lead to better user interaction experiences. Accordingly, this paper presents our results on mid-air gesture variability. We are mainly concerned with understanding variability in mid-air gesture articulations from a pure user-centric perspective. We describe a comprehensive investigation on how users vary the production of gestures under unconstrained articulation conditions. The conducted user study consisted in two tasks. The first one provides a model of user conception and production of gestures; from this study we also derive an embodied taxonomy of gestures. This taxonomy is used as a basis for the second experiment, in which we perform a fine grain quantitative analysis of gesture articulation variability. Based on these results, we discuss implications for gesture interface designs.

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Section: Related Workmentioning

confidence: 99%

Section: Apparatusmentioning

confidence: 99%