Demo Data from SIGIR 2026 / reviewers in the wild / expert
Richard Isaac Wallis
dblp:65/6667 · also Isaac Wallis
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 3
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 |
Health and well-being technologies · 26% Haptics and multimodal interaction · 24% Collaborative and social computing · 15% | |
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 100% |
Topics — the 8 heaviest of 9, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Health and well-being technologies
rehabilitation technology |
0.1 | 2 | 2006 | A real-time, multimodal biofeedback system for stroke patient rehabilitation · ACM Multimedia 2006 The design of a real-time, multimodal biofeedback system for stroke patient rehabilitation · ACM Multimedia 2006 |
Interaction techniques and input › post-WIMP interaction › embodied interaction
movement-based interaction |
0.1 | 1 | 2010 | Thrii · ACM Multimedia 2010 |
Haptics and multimodal interaction
multimodal interaction |
0.1 | 1 | 2010 | Thrii · ACM Multimedia 2010 |
Immersive interaction
interactive multimodal environment |
0.1 | 2 | 2006 | A real-time, multimodal biofeedback system for stroke patient rehabilitation · ACM Multimedia 2006 The design of a real-time, multimodal biofeedback system for stroke patient rehabilitation · ACM Multimedia 2006 |
Wearable and physiological sensing › physiological computing
biofeedback |
0.1 | 1 | 2006 | The design of a real-time, multimodal biofeedback system for stroke patient rehabilitation · ACM Multimedia 2006 |
Haptics and multimodal interaction
multimodal feedback |
0.1 | 1 | 2006 | The design of a real-time, multimodal biofeedback system for stroke patient rehabilitation · ACM Multimedia 2006 |
Health and well-being technologies › rehabilitation
stroke rehabilitation |
0.1 | 1 | 2006 | The design of a real-time, multimodal biofeedback system for stroke patient rehabilitation · ACM Multimedia 2006 |
Visualization and visual analytics
interactive visualization |
0.0 | 1 | 2010 | Thrii · ACM Multimedia 2010 |
Methods — techniques the papers use, named apart from their topics
similarity computation · 0.2accelerometer tracking · 0.2visual feedback · 0.1auditory feedback · 0.1audiovisual feedback · 0.1audio-visual feedback · 0.1real-time biofeedback · 0.1feature identification · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | ThriiabstractThrii is a multimodal interactive installation that explores levels of movement similarity among its participants. Each of the three participants manipulates a large spherical object whose movement is tracked via an embedded accelerometer. An analysis engine computes the similarity of movement for each possible pair of objects, as well as self-similarity (e.g., repetition of movement over time) for each object. The extent of similarity among the movements of each object is communicated by a visualization projected on a three-sided pyramid, a non-directional audio environment, and lighting produced by the spherical objects. The installation's focus is intended to examine notions of collaboration between participants. We have found that participants engage with Thrii through exploration of collaborative gestures. Nicole Lehrer, David Tinapple, Tatyana Koziupa, Assegid Kidané, Stjepan Rajko, Richard Isaac Wallis, Michael Baran, David Lorig, Diana Siwiak, Loren Olson |
ACM Multimedia | 7 |
| 2006 | The design of a real-time, multimodal biofeedback system for stroke patient rehabilitationabstractThis paper presents a novel real-time, multi-modal biofeedback system for stroke patient therapy. The problem is important as traditional mechanisms of rehabilitation are monotonous, and do not incorporate detailed quantitative assessment of recovery in addition to traditional clinical schemes. We have been working on developing an experiential media system that integrates task dependent physical therapy and cognitive stimuli within an interactive, multimodal environment. The environment provides a purposeful, engaging, visual and auditory scene in which patients can practice functional therapeutic reaching tasks, while receiving different types of simultaneous feedback indicating measures of both performance and results. There are three contributions of this paper - (a) identification of features and goals for the functional task (b) The development of sophisticated feedback (auditory and visual) mechanisms that match the semantics of action of the task. We additionally develop novel action-feedback coupling mechanisms. (c) New metrics to validate the ability of the system to promote learnability, stylization and engagement. We have validated the system for nine subjects with excellent results. Yinpeng Chen, He Huang 0002, Richard Isaac Wallis, Hari Sundaram, Thanassis Rikakis, Todd Ingalls, Loren Olson, Jiping He |
ACM Multimedia | 4 |
| 2006 | A real-time, multimodal biofeedback system for stroke patient rehabilitationabstractThis paper presents a novel real-time, multi-modal biofeedback system for stoke patient therapy. The problem is important as traditional mechanisms of rehabilitation are monotonous, and do not incorporate detailed quantitative assessment of recovery in addition to traditional clinical schemes. We have been working on developing an experiential media system that integrates task dependent physical therapy and cognitive stimuli within an interactive, multimodal environment. The environment provides a purposeful, engaging, visual and auditory scene in which patients can practice functional therapeutic reaching tasks, while receiving different types of simultaneous feedback indicating measures of both performance and results. There are two contributions of this paper - (a) identification of features and goals for the functional task, (b) the development of sophisticated feedback (auditory and visual) mechanisms that match the semantics of action of the task. Yinpeng Chen, Richard Isaac Wallis, Hari Sundaram, Thanassis Rikakis, Todd Ingalls, Loren Olson, Jiping He |
ACM Multimedia | 3 |