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Irene Mittelberg

dblp:02/9540 · DBLP profile ↗
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5ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0002-6820-4515ORCID · corroborated

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

Human-computer interaction and ubiquitous computing · 3Artificial intelligence and machine learning · 2 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 2 · 1 since 2021Databases, data management, data science and information retrieval · 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
1 paper
Interaction techniques and input · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interaction techniques and input › gesture input › gesture design
gesture vocabulary design
0.112011
Understanding naturalness and intuitiveness in gesture production: insights for touchless gestural interfaces · CHI 2011
Interaction techniques and input › gesture input › gesture design
gesture generation
0.012011
Understanding naturalness and intuitiveness in gesture production: insights for touchless gestural interfaces · CHI 2011

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

video analysis · 0.1user study · 0.1
YearPublicationVenuePosition
2024 Viewpoint as metacognitive strategy in musical improvisation and multimodal meta-discourse
Henrique Tavares Dias Perissinotto, Irene Mittelberg, João Queiroz
CogSci2
2020 Evaluating the Influence of Phoneme-Dependent Dynamic Speaker Directivity of Embodied Conversational Agents' Speech
abstract
Generating natural embodied conversational agents within virtual spaces crucially depends on speech sounds and their directionality. In this work, we simulated directional filters to not only add directionality, but also directionally adapt each phoneme. We therefore mimic reality where changing mouth shapes have an influence on the directional propagation of sound. We conducted a study (n = 32) evaluating naturalism ratings, preference and distinguishability of omnidirectional speech auralization compared to static and dynamic, phoneme-dependent directivities. The results indicated that participants cannot distinguish dynamic from static directivity. Furthermore, participants' preference ratings aligned with their naturalism ratings. There was no unanimity, however, with regards to which auralization is the most natural.
Jonathan Ehret, Jonas Stienen, Chris Brozdowski, Andrea Bönsch, Irene Mittelberg, Michael Vorländer, Torsten W. Kuhlen
IVA5
2015 Spatiotemporal Similarity Search in 3D Motion Capture Gesture Streams
Christian Beecks, Marwan Hassani, Jennifer Hinnell, Daniel Schüller, Bela Brenger, Irene Mittelberg, Thomas Seidl 0001
SSTD6
2012 To move or to remove?: a human-centric approach to understanding gesture interpretation
abstract
This paper explores how na?ve observers recognize and interpret transitive actions (actions involving manipulation of objects) without accompanying speech, in order to derive guidelines for the design of gesture interpretation systems. Semi-structured interviews with 11 observers, interpreting 106 video clips of transitive actions elicited unstaged from 16 participants, reveal that people are generally able to interpret the transitive action as well as characteristics of the object manipulated despite individual variations in how people naturally gesture. In particular, people focus primarily on hand movement and hand shape to correctly interpret object characteristics, and on manner of movement of arms and/or final location of hands to interpret the goal of the transitive action (e.g., arrange objects vs. clear objects). These findings provide insights on aspects of gestures one can focus on to inform and guide the design of gesture interpretation models for interfaces that allow for individual variations in natural gesture production.
Sukeshini A. Grandhi, Gina Joue, Irene Mittelberg
Conference on Designing Interactive Systems3
2011 Understanding naturalness and intuitiveness in gesture production: insights for touchless gestural interfaces
abstract
This paper explores how interaction with systems using touchless gestures can be made intuitive and natural. Analysis of 912 video clips of gesture production from a user study of 16 subjects communicating transitive actions (manipulation of objects with or without external tools) indicated that 1) dynamic pantomimic gestures where imagined tool/object is explicitly held are performed more intuitively and easily than gestures where a body part is used to represent the tool/object or compared to static hand poses and 2) gesturing while communicating the transitive action as how the user habitually performs the action (pantomimic action) is perceived to be easier and more natural than gesturing while communicating it as an instruction. These findings provide guidelines for the characteristics of gestures and user mental models one must consciously be concerned with when designing and implementing gesture vocabularies of touchless interaction.
Sukeshini A. Grandhi, Gina Joue, Irene Mittelberg
CHI3