The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.01 - January/February (2006 vol.12)
pp: 103-113
ABSTRACT
<p><b>Abstract</b>—Intelligent systems are increasingly able to offer real-time information relevant to a user's manual control of an interactive system, such as dynamic system control space constraints for animation control and driving. However, it is difficult to present this information in a usable manner and other approaches which have employed haptic cues for manual control in "slow” systems often lead to instabilities in highly dynamic tasks. We present a predictive haptic guidance method based on a look-ahead algorithm, along with a user evaluation which compares it with other approaches (no guidance and a standard potential-field method) in a 1-DoF steered path-following scenario. Look-ahead guidance outperformed the other methods in both quantitative performance and subjective preference across a range of path complexity and visibility and a force analysis demonstrated that it applied smaller and fewer forces to users. These results (which appear to derive from the predictive guidance's supporting users in taking earlier and more subtle corrective action) suggest the potential of predictive methods in aiding manual control of dynamic interactive tasks where intelligent support is available.</p>
INDEX TERMS
Human factors, evaluation/methodology, haptic I/O, user-centered design.
CITATION
Benjamin A.C. Forsyth, Karon E. MacLean, "Predictive Haptic Guidance: Intelligent User Assistance for the Control of Dynamic Tasks", IEEE Transactions on Visualization & Computer Graphics, vol.12, no. 1, pp. 103-113, January/February 2006, doi:10.1109/TVCG.2006.11
15 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool