Demo Data from SIGIR 2026 / reviewers in the wild / expert
Damien Ablart
dblp:204/4388
· DBLP profile ↗
5ranked-venue papers
0as first author
0since 2021 · last 2020
0000-0002-1032-9067ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 5Graphics, computer vision, multimedia, augmented reality and games · 1
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
3 papers |
Haptics and multimodal interaction · 58% Immersive interaction · 29% Personal fabrication and tangible interfaces · 7% |
Topics — the 3 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Haptics and multimodal interaction
mid-air haptics |
0.7 | 2 | 2019 | Sampling Strategy for Ultrasonic Mid-Air Haptics · CHI 2019 Not just seeing, but also feeling art: Mid-air haptic experiences integrated in a multisensory art exhibition · Int. J. Hum. Comput. Stud. 2017 |
Immersive interaction › multisensory perception
multisensory integration |
0.4 | 1 | 2020 | LeviSense: A platform for the multisensory integration in levitating food and insights into its effect on flavour perception · Int. J. Hum. Comput. Stud. 2020 |
Haptics and multimodal interaction › mid-air haptics
ultrasonic haptics |
0.4 | 1 | 2019 | Sampling Strategy for Ultrasonic Mid-Air Haptics · CHI 2019 |
Methods — techniques the papers use, named apart from their topics
user study · 0.8questionnaire · 0.3interviews · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Incorporating the Perception of Visual Roughness into the Design of Mid-Air Haptic TexturesabstractUltrasonic mid-air haptic feedback enables the tactile exploration of virtual objects in digital environments. However, an object’s shape and texture is perceived multimodally, commencing before tactile contact is made. Visual cues, such as the spatial distribution of surface elements, play a critical first step in forming an expectation of how a texture should feel. When rendering surface texture virtually, its verisimilitude is dependent on whether these visually inferred prior expectations are experienced during tactile exploration. To that end, our work proposes a method where the visual perception of roughness is integrated into the rendering algorithm of mid-air haptic texture feedback. We develop a machine learning model trained on crowd-sourced visual roughness ratings of texture images from the Penn Haptic Texture Toolkit (HaTT). We establish tactile roughness ratings for different mid-air haptic stimuli and match these ratings to our model’s output, creating an end-to-end automated visuo-haptic rendering algorithm. We validate our approach by conducting a user study to examine the utility of the mid-air haptic feedback. This work can be used to automatically create tactile virtual surfaces where the visual perception of texture roughness guides the design of mid-air haptic feedback. David Beattie, William Frier, Orestis Georgiou, Benjamin Long, Damien Ablart |
SAP | 5 |
| 2020 | LeviSense: A platform for the multisensory integration in levitating food and insights into its effect on flavour perceptionabstractEating is one of the most multisensory experiences in everyday life. All of our five senses (i.e. taste, smell, vision, hearing and touch) are involved, even if we are not aware of it. However, while multisensory integration has been well studied in psychology, there is not a single platform for testing systematically the effects of different stimuli. This lack of platform results in unresolved design challenges for the design of taste-based immersive experiences. Here, we present LeviSense: the first system designed for multisensory integration in gustatory experiences based on levitated food. Our system enables the systematic exploration of different sensory effects on eating experiences. It also opens up new opportunities for other professionals (e.g., molecular gastronomy chefs) looking for innovative taste-delivery platforms. We describe the design process behind LeviSense and conduct two experiments to test a subset of the crossmodal combinations (i.e., taste and vision, taste and smell). Our results show how different lighting and smell conditions affect the perceived taste intensity, pleasantness, and satisfaction. We discuss how LeviSense creates a new technical, creative, and expressive possibilities in a series of emerging design spaces within Human-Food Interaction. Chi Thanh Vi, Asier Marzo Pérez, Gianluca Memoli, Emanuela Maggioni, Damien Ablart, Martin Yeomans, Marianna Obrist |
Int. J. Hum. Comput. Stud. | 5 |
| 2019 | Sampling Strategy for Ultrasonic Mid-Air HapticsabstractMid-air tactile stimulation using ultrasonics has been used in a variety of human computer interfaces in the form of prototypes as well as products. When generating these tactile patterns with mid-air tactile ultrasonic displays, the common approach has been to sample the patterns using the hardware update rate capabilities to their full extent. In the current study we show that the hardware update rate can impact perception, but unexpectedly we find that higher update rates do not improve pattern perception. In a first user study, we highlight the effect of update rate on the perceived strength of a pattern, especially for patterns rendered at slow rate of less than 10 Hz. In a second user study, we identify the evolution of the optimal update rate according to variations in pattern size. Our main results show that update rate should be designated as additional parameter for tactile patterns. We also discuss how the relationships we defined in the current study can be implemented into designer tools so that designers remain oblivious to this additional complexity. William Frier, Dario Pittera, Damien Ablart, Marianna Obrist, Sriram Subramanian |
CHI | 3 |
| 2017 | TastyFloats: A Contactless Food Delivery SystemabstractWe present two realizations of TastyFloats, a novel system that uses acoustic levitation to deliver food morsels to the users' tongue. To explore TastyFloats' associated design framework, we first address the technical challenges to successfully levitate and deliver different types of foods on the tongue. We then conduct a user study, assessing the effect of acoustic levitation on users' taste perception, comparing three basic taste stimuli (i.e., sweet, bitter and umami) and three volume sizes of droplets (5μL, 10μL and 20μL). Our results show that users perceive sweet and umami easily, even in minimal quantities, whereas bitter is the least detectable taste, despite its typical association with an unpleasant taste experience. Our results are a first step towards the creation of new culinary experiences and innovative gustatory interfaces. Chi Thanh Vi, Asier Marzo Pérez, Damien Ablart, Gianluca Memoli, Sriram Subramanian, Bruce W. Drinkwater, Marianna Obrist |
ISS | 3 |
| 2017 | Not just seeing, but also feeling art: Mid-air haptic experiences integrated in a multisensory art exhibitionabstractThe use of the senses of vision and audition as interactive means has dominated the field of Human-Computer Interaction (HCI) for decades, even though nature has provided us with many more senses for perceiving and interacting with the world around us. That said, it has become attractive for HCI researchers and designers to harness touch, taste, and smell in interactive tasks and experience design. In this paper, we present research and design insights gained throughout an interdisciplinary collaboration on a six-week multisensory display – Tate Sensorium – exhibited at the Tate Britain art gallery in London, UK. This is a unique and first time case study on how to design art experiences whilst considering all the senses (i.e., vision, sound, touch, smell, and taste), in particular touch, which we exploited by capitalizing on a novel haptic technology, namely, mid-air haptics. We first describe the overall set up of Tate Sensorium and then move on to describing in detail the design process of the mid-air haptic feedback and its integration with sound for the Full Stop painting by John Latham (1961). This was the first time that mid-air haptic technology was used in a museum context over a prolonged period of time and integrated with sound to enhance the experience of visual art. As part of an interdisciplinary team of curators, sensory designers, sound artists, we selected a total of three variations of the mid-air haptic experience (i.e., haptic patterns), which were alternated at dedicated times throughout the six-week exhibition. We collected questionnaire-based feedback from 2500 visitors and conducted 50 interviews to gain quantitative and qualitative insights on visitors’ experiences and emotional reactions. Whilst the questionnaire results are generally very positive with only a small variation of the visitors’ arousal ratings across the three tactile experiences designed for the Full Stop painting, the interview data shed light on the differences in the visitors’ subjective experiences. Our findings suggest multisensory designers and art curators can ensure a balance between surprising experiences versus the possibility of free exploration for visitors. In addition, participants expressed that experiencing art with the combination of mid-air haptic and sound was immersive and provided an up-lifting experience of touching without touch. We are convinced that the insights gained from this large-scale and real-world field exploration of multisensory experience design exploiting a new and emerging technology provide a solid starting point for the HCI community, creative industries, and art curators to think beyond conventional art experiences. Specifically, our work demonstrates how novel mid-air technology can make art more emotionally engaging and stimulating, especially abstract art that is often open to interpretation. Chi Thanh Vi, Damien Ablart, Elia Gatti, Carlos Velasco, Marianna Obrist |
Int. J. Hum. Comput. Stud. | 2 |