Demo Data from SIGIR 2026 / reviewers in the wild / expert
Caitlyn E. Seim
dblp:144/5527
· DBLP profile ↗
6ranked-venue papers
2as first author
2since 2021 · last 2021
0000-0002-4778-3212ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 6 · 2 first-author · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021
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% Learning and educational technologies · 25% Wearable and physiological sensing · 10% |
Topics — the 3 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Learning and educational technologies › embodied learning
haptic learning |
0.3 | 1 | 2018 | Towards haptic learning on a smartwatch · UbiComp 2018 |
Haptics and multimodal interaction › haptics
passive haptic learning |
0.3 | 1 | 2018 | Passive haptic learning for vibrotactile skin reading · UbiComp 2018 |
Haptics and multimodal interaction › tactile display
vibrotactile display |
0.3 | 1 | 2018 | Passive haptic learning for vibrotactile skin reading · UbiComp 2018 |
Methods — techniques the papers use, named apart from their topics
workshop · 0.4expert panel · 0.4user study · 0.3haptic stimulation · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Using Action-Level Metrics to Report the Performance of Multi-Step Keyboards
Gulnar Rakhmetulla, Ahmed Sabbir Arif, Steven J. Castellucci, I. Scott MacKenzie, Caitlyn E. Seim |
Graphics Interface | 5 |
| 2021 | Experiences of Computing Students with DisabilitiesabstractComputing students with disabilities face a variety of difficulties in computing education and careers including inaccessible technology, difficulty arranging accommodations, attitudinal barriers, and a lack of mentors. This panel of computing students and recent graduates with disabilities will describe their experiences both in and out of the classroom. The goal is to provide the audience with an opportunity to hear first-hand how their educational needs were met as non-traditional computing students. In addition to the panelists' short presentations, the moderator will facilitate a dialog between the members of the audience and the panelists. Richard E. Ladner, Caitlyn E. Seim, Ather Sharif, Naba Rizvi, Abraham Glasser |
SIGCSE | 2 |
| 2020 | Next Steps for Human-Computer IntegrationabstractHuman-Computer Integration (HInt) is an emerging paradigm in which computational and human systems are closely interwoven. Integrating computers with the human body is not new. however, we believe that with rapid technological advancements, increasing real-world deployments, and growing ethical and societal implications, it is critical to identify an agenda for future research. We present a set of challenges for HInt research, formulated over the course of a five-day workshop consisting of 29 experts who have designed, deployed and studied HInt systems. This agenda aims to guide researchers in a structured way towards a more coordinated and conscientious future of human-computer integration. Florian 'Floyd' Mueller, Pedro Lopes 0001, Paul Strohmeier, Wendy Ju, Caitlyn E. Seim, Martin Weigel 0001, Suranga Nanayakkara, Marianna Obrist, Zhuying Li 0001, Joseph La Delfa, Jun Nishida, Elizabeth Gerber, Dag Svanæs, Jonathan Grudin, Stefan Greuter, Kai Kunze, Thomas Erickson, Steven Greenspan, Masahiko Inami, Joe Marshall, Harald Reiterer, Katrin Wolf 0001, Jochen Meyer 0001, Thecla Schiphorst, Dakuo Wang, Pattie Maes |
CHI | 5 |
| 2018 | Passive haptic learning for vibrotactile skin readingabstractThis paper investigates the effects of using passive haptic learning to train the skill of comprehending text from vibrotactile patterns. The method of transmitting messages, skin-reading, is effective at conveying rich information but its active training method requires full user attention, is demanding, time-consuming, and tedious. Passive haptic learning offers the possibility to learn in the background while performing another primary task. We present a study investigating the use of passive haptic learning to train for skin-reading. Granit Luzhnica, Eduardo E. Veas, Caitlyn E. Seim |
UbiComp | 3 |
| 2018 | Towards haptic learning on a smartwatchabstractHaptic technology can be used as a tool for learning. Can even the haptic elements in a smartwatch teach a new skill? Here we present a case of using a smartwatch for passive tactile learning. We use the Sony Smartwatch 3 to teach users Morse code while they wear the watch but focus on unrelated tasks. An initial hypothesis forecasted that the stimulation from the smartwatch, typically used for message alerts, would be too subtle to enable haptic learning; however, we find significant improvements in six participants using the technique. Furthermore, we expose participants to two different durations of stimulation and find different results. Caitlyn E. Seim, Rodrigo Pontes, Sanjana Kadiveti, Zaeem Adamjee, Annette Cochran, Timothy Aveni, Peter Presti, Thad Starner |
UbiComp | 1 |
| 2015 | Towards Passive Haptic Learning of piano songsabstractPassive Haptic Learning (PHL) enables users to acquire motor skills by receiving tactile stimulation while no perceived attention is given to learning. Initial work used gloves with embedded vibration motors to passively teach users how to play simple, one-handed, one-note-at-a-time piano melodies. In an effort to create a practical system for learning full piano pieces, we have developed a method of passively teaching two-handed chorded skills, initially focusing on Braille typing. Here, we extend this effort to piano and show that passive stimulation is more effective at teaching piano pieces when presented on both hands simultaneously as opposed to training the left hand and then the right, as is common in many active teaching methods. We also demonstrate that accompanying audio is not needed for passive learning of piano melodies, which allows mobile PHL gloves to be used in more everyday situations. Caitlyn E. Seim, Tanya Estes, Thad Starner |
World Haptics | 1 |