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Joffrey Guilmet

Publications and source records attributed to Joffrey Guilmet.

2 recordsLinked to original sources

Words have Weight: Comparing the use of pressure and weight as a metaphor in a User Interface in Virtual Reality

This work investigates how weight and pressure can function as haptic metaphors to support user interface notifications in Virtual Reality (VR). While prior research has explored ungrounded weight simulation and pneumatic feedback, their combined role in conveying information through UI elements remains underexplored. We developed a wearable haptic device that transfers liquid and air into flexible containers mounted on the back of the user's hand, allowing us to independently manipulate weight and pressure. Through an initial evaluation using three conditions-no feedback, weight only, and weight combined with pressure-we examined how these signals affect perceived heaviness, coherence with visual cues, and the perceived urgency of notifications. Our results validate that pressure amplifies the perception of weight, but this increased heaviness does not translate into higher perceived urgency. These findings suggest that while pressure___enhanced weight can enrich haptic rendering of UI elements in VR, its contribution to communicating urgency may require further investigation, alternative pressure profiles, or different types of notifications.

cs.GR

Say it or AI it: Evaluating Hands-Free Text Correction in Virtual Reality

Text entry in Virtual Reality (VR) is challenging, even when accounting for the use of controllers. Prior work has tackled this challenge head-on, improving the efficiency of input methods. These techniques have the advantage of allowing for relatively straightforward text correction. However, text correction without the use of controllers is a topic that has not received the same amount of attention, even though it can be desirable in several scenarios, and can even be the source of frustration. Large language models have been adopted and evaluated as a corrective methodology, given their high power for predictions. Nevertheless, their predictions are not always correct, which can lead to lower usability. In this paper, we investigate whether, for text correction in VR that is hands-free, the use of AI could surpass in terms of usability and efficiency. We observed better usability for AI text correction when compared to voice input.

cs.HC