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May Grabli

dblp:215/3563 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
2 papers
Wearable and physiological sensing · 77% Games and playful interaction · 13% Haptics and multimodal interaction · 10%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wearable and physiological sensing
physiological computing
0.412020
Physiologically Driven Storytelling: Concept and Software Tool · CHI 2020
Wearable and physiological sensing › physiological computing
biofeedback
0.312018
Breeze: Sharing Biofeedback through Wearable Technologies · CHI 2018
Haptics and multimodal interaction
multimodal feedback
0.112018
Breeze: Sharing Biofeedback through Wearable Technologies · CHI 2018

Methods — techniques the papers use, named apart from their topics

eye tracking · 0.4electrodermal activity · 0.4breathing sensing · 0.4user study · 0.3design · 0.3
YearPublicationVenuePosition
2020 Physiologically Driven Storytelling: Concept and Software Tool
abstract
We put forth Physiologically Driven Storytelling, a new approach to interactive storytelling where narratives adaptively unfold based on the reader's physiological state. We first describe a taxonomy framing how physiological signals can be used to drive interactive systems both as input and output. We then propose applications to interactive storytelling and describe the implementation of a software tool to create Physiological Interactive Fiction (PIF). The results of an online study (N=140) provided guidelines towards augmenting the reading experience. PIF was then evaluated in a lab study (N=14) to determine how physiological signals can be used to infer a reader's state. Our results show that breathing, electrodermal activity, and eye tracking can help differentiate positive from negative tones, and monotonous from exciting events. This work demonstrates how PIF can support storytelling in creating engaging content and experience tailored to the reader. Moreover, it opens the space to future physiologically driven systems within broader application areas.
Jérémy Frey, Gilad Ostrin, May Grabli, Jessica R. Cauchard
CHI3
2018 Breeze: Sharing Biofeedback through Wearable Technologies
abstract
Digitally presenting physiological signals as biofeedback to users raises awareness of both body and mind. This paper describes the effectiveness of conveying a physiological signal often overlooked for communication: breathing. We present the design and development of digital breathing patterns and their evaluation along three output modalities: visual, audio, and haptic. We also present Breeze, a wearable pendant placed around the neck that measures breathing and sends biofeedback in real-time. We evaluated how the breathing patterns were interpreted in a fixed environment and gathered qualitative data on the wearable device's design. We found that participants intentionally modified their own breathing to match the biofeedback, as a technique for understanding the underlying emotion. Our results describe how the features of the breathing patterns and the feedback modalities influenced participants' perception. We include guidelines and suggested use cases, such as Breeze being used by loved ones to increase connectedness and empathy.
Jérémy Frey, May Grabli, Ronit Slyper, Jessica R. Cauchard
CHI2