Details
| Original language | English |
|---|---|
| Title of host publication | CHI EA 2020 |
| Subtitle of host publication | Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems |
| Publisher | Association for Computing Machinery (ACM) |
| Number of pages | 10 |
| ISBN (electronic) | 9781450368193 |
| Publication status | Published - 25 Apr 2020 |
| Event | 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020 - Honolulu, United States Duration: 25 Apr 2020 → 30 Apr 2020 |
Abstract
Smartwatches can be used independently from smartphones, but input tasks like messaging are cumbersome due to the small display size. Parts of the display are hidden during interaction, which can lead to incorrect input. For simplicity, instead of general text input a small set of answer options are often provided, but these are limited and impersonal. In contrast, free-form drawings can answer messages in a very personal way, but are difficult to produce on small displays. To enable precise drawing input on smartwatches we present a magnetic stylus that is tracked on the back of the hand. In an evaluation of several algorithms we show that 3D position estimation with a 7.5x20mm magnet reaches a worst-case 6% relative position error on the back of the hand. Furthermore, the results of a user study are presented, which show that in the case of drawing applications the presented technique is faster and more precise than direct finger input.
Keywords
- Around-device interaction, Digital pens, Mobile interaction
ASJC Scopus subject areas
- Computer Science(all)
- Human-Computer Interaction
- Computer Science(all)
- Computer Graphics and Computer-Aided Design
- Computer Science(all)
- Software
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CHI EA 2020: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM), 2020.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Watch my Painting
T2 - 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020
AU - Schrapel, Maximilian
AU - Herzog, Florian
AU - Ryll, Steffen
AU - Rohs, Michael
PY - 2020/4/25
Y1 - 2020/4/25
N2 - Smartwatches can be used independently from smartphones, but input tasks like messaging are cumbersome due to the small display size. Parts of the display are hidden during interaction, which can lead to incorrect input. For simplicity, instead of general text input a small set of answer options are often provided, but these are limited and impersonal. In contrast, free-form drawings can answer messages in a very personal way, but are difficult to produce on small displays. To enable precise drawing input on smartwatches we present a magnetic stylus that is tracked on the back of the hand. In an evaluation of several algorithms we show that 3D position estimation with a 7.5x20mm magnet reaches a worst-case 6% relative position error on the back of the hand. Furthermore, the results of a user study are presented, which show that in the case of drawing applications the presented technique is faster and more precise than direct finger input.
AB - Smartwatches can be used independently from smartphones, but input tasks like messaging are cumbersome due to the small display size. Parts of the display are hidden during interaction, which can lead to incorrect input. For simplicity, instead of general text input a small set of answer options are often provided, but these are limited and impersonal. In contrast, free-form drawings can answer messages in a very personal way, but are difficult to produce on small displays. To enable precise drawing input on smartwatches we present a magnetic stylus that is tracked on the back of the hand. In an evaluation of several algorithms we show that 3D position estimation with a 7.5x20mm magnet reaches a worst-case 6% relative position error on the back of the hand. Furthermore, the results of a user study are presented, which show that in the case of drawing applications the presented technique is faster and more precise than direct finger input.
KW - Around-device interaction
KW - Digital pens
KW - Mobile interaction
UR - http://www.scopus.com/inward/record.url?scp=85090208987&partnerID=8YFLogxK
U2 - 10.1145/3334480.3383040
DO - 10.1145/3334480.3383040
M3 - Conference contribution
AN - SCOPUS:85090208987
BT - CHI EA 2020
PB - Association for Computing Machinery (ACM)
Y2 - 25 April 2020 through 30 April 2020
ER -