SOFTii

Nguyen, Vinh Phu; Kumar, P. R.; Yoon, Sang Ho; Verma, Ansh; Ramani, Karthik

doi:10.1145/2677199.2687898

Cited by 17 publications

(5 citation statements)

References 12 publications

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“…Furthermore, several studies focusing on digital companions are also based on soft squeezable interfaces [20,63], and thus our study can also be applied to develop soft digital companions. As demonstrated in Section 8.1 and also from existing studies, such soft squeezable sensors can be used to develop game controllers [11,13,16]. Compared to commercialized force-sensitive resistors (FSRs), our solution does not introduce any stiffness and can be deformed in all directions.…”

Section: Discussionmentioning

confidence: 99%

“…Soft interfaces are regarded as more natural and expressive [1]. Researchers have explored the potential of soft interfaces in various domains, such as music instruments [2][3][4][5][6], breathing sensors [7], modeling tools [8][9][10][11], toys [12,13], controllers [11][12][13][14][15][16][17], mental health [18][19][20], communication [21,22], furniture [13,23], and robot skin [24]. These interfaces come in different sizes, ranging from finger interaction [14,15,25] to hand interaction [16,24,26] to whole body interactions [13,27].…”

Section: Introductionmentioning

confidence: 99%

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Contact Resistance Sensing for Touch and Squeeze Interactions

Zhou,

Devleminck,

Geurts

2024

MTI

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This study investigates accessible and sensitive electrode solutions for detecting touches and squeezes on soft interfaces based on commercially available conductive polyurethane foam. Various electrode materials and configurations are explored, and for electrodes made of conductive threads, the static and dynamic electrical behaviors are studied in depth. In contrast to existing approaches that aim to minimize or stabilize contact resistance, we propose leveraging contact resistance to significantly enhance sensing sensitivity. Suggestions for future researchers and developers when building squeeze sensors based on this material are provided. Our findings offer insights for DIY enthusiasts and researchers, enabling them to develop sensitive soft interfaces for touch and squeeze interactions in an affordable and accessible manner and provide a completely soft user experience.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Contact Resistance Sensing for Touch and Squeeze Interactions

Zhou,

Devleminck,

Geurts

2024

MTI

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“…Nguyen et al worked on two deformable prototypes, BendID (V. P. Nguyen, Yoon, Verma, & Ramani, 2014) and Softii (V. Nguyen, Kumar, Yoon, Verma, & Ramani, 2015). For…”

Section: Deformation Interactions With Gamesmentioning

confidence: 99%

“…Softii (V. Nguyen et al, 2015) were the only prototypes to use an external display, however they did not complete any formal studies using games which we plan to conduct using our prototype.…”

Section: Deformation Interactions With Gamesmentioning

confidence: 99%

An Exploration of In-Game Action Mappings with a Deformable Game Controller

Shorey¹

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Deformation input consists of methods of interaction that make use of material deformation in order to control on-screen variables. In this thesis, we explore controller input mappings for games using a deformable prototype that combines deformation gestures with standard button input. In experiment one, we tested discrete gestures using three games. We categorized the control schemes as binary (traditional), action, and navigation, the latter two named based on the game mechanics the gestures were mapped to. We found that the binary scheme performed the best, but gesture-based control schemes are stimulating and appealing.Results also suggest that the deformation gestures are best mapped to simple and natural tasks. In experiment two we tested continuous gestures in a 3D racing game using the same control scheme categorization. Results were mostly consistent with experiment one but showed an improvement in performance and preference for the action control scheme.iii

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“…Cobra (Ye & Khalid, 2010) was meant to be used in gaming but the prototype was not formally tested. BendID (V. P. Nguyen, Yoon, Verma, & Ramani, 2014) and Softii (V. Nguyen, Kumar, Yoon, Verma, & Ramani, 2015) are prototypes that use pressure sensors as inputs but were informally tested with 3D…”

Section: Mobile Game Inputmentioning

confidence: 99%

Effects of Bend Gesture Training on Learnability and Memorability in a Mobile Game

Fares¹

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Flexible displays are making their way into handheld devices. Users can benefit from ways of interacting with these devices using bend gestures to activate a command.However, these devices may have a higher learning curve due to their complex degree of interaction. We developed a new deformable device that detects bend gestures, and created Paper Ninja, a mobile game that is played using bends. We compared the effect of training on learnability and memorability through three conditions and attempted to validate the Guidance Hypothesis. Participants played the mobile game in two sessions and received one of the following: 1) training on how to perform bend gestures, 2) bend gesture training as well as what action mapped to the gesture, 3) no training. Our study revealed that mapping training produced a similar outcome as no training, while gesture training led to a negative outcome. Our findings suggest training is not essential for users to learn bend gesture interactions and learning by discovery is feasible.iii

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SOFTii

Cited by 17 publications

References 12 publications

Contact Resistance Sensing for Touch and Squeeze Interactions

Contact Resistance Sensing for Touch and Squeeze Interactions

An Exploration of In-Game Action Mappings with a Deformable Game Controller

Effects of Bend Gesture Training on Learnability and Memorability in a Mobile Game

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