Abstract
| Language | English |
|---|---|
| Title of host publication | 2018 CHI Conference on Human Factors in Computing Systems |
| Place of Publication | New York, U. S. A. |
| Publisher | ACM and Addison-Wesley |
| Number of pages | 14 |
| Volume | 2018-April |
| ISBN (Electronic) | 9781450356206, 9781450356213 |
| ISBN (Print) | 9781450356206 |
| DOIs | |
| Status | Published - 21 Apr 2018 |
Keywords
- Exergame
- Feedforward
- Intrinsic motivation
- Performance
- Virtual reality (VR)
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design
- Software
Cite this
Interactive Feedforward for Improving Performance and Maintaining Intrinsic Motivation in VR Exergaming. / Barathi, Soumya C.; Finnegan, Daniel J.; Farrow, Matthew; Whaley, Alexander; Heath, Pippa; Buckley, Jude; Dowrick, Peter W.; Wünsche, Burkhard C; Bilzon, James L. J.; O'Neill, Eamonn; Lutteroth, Christof.
2018 CHI Conference on Human Factors in Computing Systems. Vol. 2018-April New York, U. S. A. : ACM and Addison-Wesley, 2018.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Interactive Feedforward for Improving Performance and Maintaining Intrinsic Motivation in VR Exergaming
AU - Barathi, Soumya C.
AU - Finnegan, Daniel J.
AU - Farrow, Matthew
AU - Whaley, Alexander
AU - Heath, Pippa
AU - Buckley, Jude
AU - Dowrick, Peter W.
AU - Wünsche, Burkhard C
AU - Bilzon, James L. J.
AU - O'Neill, Eamonn
AU - Lutteroth, Christof
N1 - Paper No. 408
PY - 2018/4/21
Y1 - 2018/4/21
N2 - Exergames commonly use low to moderate intensity exercise protocols. Their effectiveness in implementing high intensity protocols remains uncertain. We propose a method for improving performance while maintaining intrinsic motivation in high intensity VR exergaming. Our method is based on an interactive adaptation of the feedforward method: a psychophysical training technique achieving rapid improvement in performance by exposing participants to self models showing previously unachieved performance levels. We evaluated our method in a cycling-based exergame. Participants competed against (i) a self model which represented their previous speed; (ii) a self model representing their previous speed but increased resistance therefore requiring higher performance to keep up; or (iii) a virtual competitor at the same two levels of performance. We varied participants’ awareness of these differences. Interactivefeedforwardledtoimprovedperformance while maintaining intrinsic motivation even when participants wereawareoftheinterventions,andwassuperiortocompeting against a virtual competitor.
AB - Exergames commonly use low to moderate intensity exercise protocols. Their effectiveness in implementing high intensity protocols remains uncertain. We propose a method for improving performance while maintaining intrinsic motivation in high intensity VR exergaming. Our method is based on an interactive adaptation of the feedforward method: a psychophysical training technique achieving rapid improvement in performance by exposing participants to self models showing previously unachieved performance levels. We evaluated our method in a cycling-based exergame. Participants competed against (i) a self model which represented their previous speed; (ii) a self model representing their previous speed but increased resistance therefore requiring higher performance to keep up; or (iii) a virtual competitor at the same two levels of performance. We varied participants’ awareness of these differences. Interactivefeedforwardledtoimprovedperformance while maintaining intrinsic motivation even when participants wereawareoftheinterventions,andwassuperiortocompeting against a virtual competitor.
KW - Exergame
KW - Feedforward
KW - Intrinsic motivation
KW - Performance
KW - Virtual reality (VR)
UR - http://www.scopus.com/inward/record.url?scp=85046939807&partnerID=8YFLogxK
U2 - 10.1145/3173574.3173982
DO - 10.1145/3173574.3173982
M3 - Conference contribution
SN - 9781450356206
VL - 2018-April
BT - 2018 CHI Conference on Human Factors in Computing Systems
PB - ACM and Addison-Wesley
CY - New York, U. S. A.
ER -