Cited by 10Interactive and Immersive DisplaysInnovative Human-Technology InteractionDigital Media and Visual Art

Creativity Support and Multimodal Pen-based Interaction

Open access
Aslan, Ilhan, Weitz, Katharina, Schlagowski, Ruben, Flutura, Simon, Valesco, Susana Garcia, Pfeil, Marius, André, Elisabeth·2019·2019 International Conference on Multimodal Interaction

Abstract

Creativity as a skill is associated with a potential to drive both productivity and psychological wellbeing. Since multimodality can foster cognitive ability, multimodal digital tools should also be ideal to support creativity as an essentially cognitive skill. In this paper, we explore this notion by presenting a multimodal pen-based interaction technique and studying how it supports creativity. The multimodal solution uses micro-controller-technology to augment a digital pen with RGB LEDs and a Leap Motion sensor to enable bimanual input. We report on a user study with 26 participants demonstrating that the multimodal technique is indeed perceived as supporting creativity significantly more than a baseline condition.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1145/3340555.3353738

Cites

48 of 48 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The Collaboration subscale is irrelevant and often omitted in exclusively single-user contexts like that of the study.

    “We did not collect responses for the Collaboration subscale, which is irrelevant and often omitted in exclusively single-user contexts like that of our study (e.g., [5, 87]).”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 2

  1. Sandra G Hart and Lowell E Staveland. 1988. Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research. In Advances in psychology. Vol. 52. Elsevier, 139-183.
  2. Ken Hinckley, Koji Yatani, Michel Pahud, Nicole Coddington, Jenny Rodenhouse, Andy Wilson, Hrvoje Benko, and Bill Buxton. Pen + Touch = New Tools. In Proc. of UIST '10. ACM, 10.

Cited by

Sorted by citations

Authors
Aslan, I., Weitz, K., Schlagowski, R., Flutura, S., Valesco, S. G., Pfeil, M., & André, E.
Affiliations
  • University of Augsburg (DE)
  • Human Centered Multimedia Lab, Germany
Venue
2019 International Conference on Multimodal Interaction
Publisher
ACM
Published
2019-10-14
Pages
135-144
OpenAlex
W2980720726
Cited by
9
References
48
Citations by year
2026: 1 · 2025: 1 · 2024: 2 · 2023: 2 · 2021: 2 · 2020: 1
FWCI
0.61
Type
conference paper
Language
en
Open access
Locations
  • INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION (publishedVersion)
  • OPUS (Augsburg University) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Human-Computer Interaction › Interactive and Immersive Displays
  • Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
  • Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Digital Media and Visual Art
Keywords
creativity support, multimodal interaction, pen-based interaction, digital pen, RGB LED, Leap Motion sensor, microcontroller, user study

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review