Abstract
SmoothMoves is an interaction technique for augmented reality (AR) based on smooth pursuits head movements. It works by computing correlations between the movements of on-screen targets and the user's head while tracking those targets. The paper presents three studies. The first suggests that head based input can act as an easier and more affordable surrogate for eye-based input in many smooth pursuits interface designs. A follow-up study grounds the technique in the domain of augmented reality, and captures the error rates and acquisition times on different types of AR devices: head-mounted (2.6%, 1965ms) and hand-held (4.9%, 2089ms). Finally, the paper presents an interactive lighting system prototype that demonstrates the benefits of using smooth pursuits head movements in interaction with AR interfaces. A final qualitative study reports on positive feedback regarding the technique's suitability for this scenario. Together, these results show SmoothMoves is viable, efficient and immediately available for a wide range of wearable devices that feature embedded motion sensing.
| Original language | English |
|---|---|
| Title of host publication | UIST 2017 - Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology |
| Place of Publication | New York |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 167-178 |
| Number of pages | 12 |
| ISBN (Electronic) | 9781450349819 |
| DOIs | |
| Publication status | Published - 20 Oct 2017 |
| Event | 30th Annual ACM Symposium on User Interface Software and Technology (UIST 2017) - Quebec City, Canada Duration: 22 Oct 2017 → 25 Oct 2017 Conference number: 30 https://uist.acm.org/uist2017/ |
Conference
| Conference | 30th Annual ACM Symposium on User Interface Software and Technology (UIST 2017) |
|---|---|
| Abbreviated title | UIST 2017 |
| Country | Canada |
| City | Quebec City |
| Period | 22/10/17 → 25/10/17 |
| Internet address |
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Keywords
- AR
- Augmented reality
- Eye tracking
- HMD
- Input technique
- Motion matching
- Smooth pursuits
- Wearable computing
Cite this
}
SmoothMoves : Smooth pursuits head movements for augmented reality. / Esteves, Augusto; Verweij, David; Suraiya, Liza; Islam, Rasel; Lee, Youryang; Oakley, Ian.
UIST 2017 - Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology. New York : Association for Computing Machinery, Inc, 2017. p. 167-178.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - SmoothMoves
T2 - Smooth pursuits head movements for augmented reality
AU - Esteves, Augusto
AU - Verweij, David
AU - Suraiya, Liza
AU - Islam, Rasel
AU - Lee, Youryang
AU - Oakley, Ian
PY - 2017/10/20
Y1 - 2017/10/20
N2 - SmoothMoves is an interaction technique for augmented reality (AR) based on smooth pursuits head movements. It works by computing correlations between the movements of on-screen targets and the user's head while tracking those targets. The paper presents three studies. The first suggests that head based input can act as an easier and more affordable surrogate for eye-based input in many smooth pursuits interface designs. A follow-up study grounds the technique in the domain of augmented reality, and captures the error rates and acquisition times on different types of AR devices: head-mounted (2.6%, 1965ms) and hand-held (4.9%, 2089ms). Finally, the paper presents an interactive lighting system prototype that demonstrates the benefits of using smooth pursuits head movements in interaction with AR interfaces. A final qualitative study reports on positive feedback regarding the technique's suitability for this scenario. Together, these results show SmoothMoves is viable, efficient and immediately available for a wide range of wearable devices that feature embedded motion sensing.
AB - SmoothMoves is an interaction technique for augmented reality (AR) based on smooth pursuits head movements. It works by computing correlations between the movements of on-screen targets and the user's head while tracking those targets. The paper presents three studies. The first suggests that head based input can act as an easier and more affordable surrogate for eye-based input in many smooth pursuits interface designs. A follow-up study grounds the technique in the domain of augmented reality, and captures the error rates and acquisition times on different types of AR devices: head-mounted (2.6%, 1965ms) and hand-held (4.9%, 2089ms). Finally, the paper presents an interactive lighting system prototype that demonstrates the benefits of using smooth pursuits head movements in interaction with AR interfaces. A final qualitative study reports on positive feedback regarding the technique's suitability for this scenario. Together, these results show SmoothMoves is viable, efficient and immediately available for a wide range of wearable devices that feature embedded motion sensing.
KW - AR
KW - Augmented reality
KW - Eye tracking
KW - HMD
KW - Input technique
KW - Motion matching
KW - Smooth pursuits
KW - Wearable computing
UR - http://www.scopus.com/inward/record.url?scp=85041492383&partnerID=8YFLogxK
U2 - 10.1145/3126594.3126616
DO - 10.1145/3126594.3126616
M3 - Conference contribution
AN - SCOPUS:85041492383
SP - 167
EP - 178
BT - UIST 2017 - Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology
PB - Association for Computing Machinery, Inc
CY - New York
ER -