Abstract
This thesis provides evidence for the use of pressure-based input to facilitate the provision of in-situ performance information in extreme Human Computer Interaction scenarios. In such scenarios there is a risk that providing more information to the user would increase workload, be distracting and ultimately dangerous. However, it is in these extreme sce-narios that users could really benefit from feedback. One such scenario is Roller Derby skating, a full contact sport played on quad roller skates. This thesis identifies the need for providing lap time performance information during skating and provides a detailed exploration of interaction design using pressure as an input method.The first experiment explored the role of signal conditioning on the controllability of pressure-based interactions with visual feedback. Some clarifications are given on the role of pressure sensor data mapping functions and open source signal conditioning circuit de-signs are provided.
A second experiment compared the performance of users selecting a target pressure level from three levels using visual, audio and vibrotactile feedback. The results suggested that accuracy rates dropped significantly with non-visual feedback.
A third set of experiments explored simplifying the use of pressure input to only allow positive changes in pressure level. Using this simplified input it was hypothesised that users would no longer require feedback. The initial experiment results refuted the hypoth-esis. A final experiment showed that vibrotactile feedback was shown to be as effective as visual feedback.
The final study tested the implementation of a lap time performance training aid with roller derby skaters. Pressure input and vibrotactile feedback was shown to allow users to effectively request comparative lap time information. Allowing the skater to manually request feedback, rather than automatically at the end of every lap, was shown to improve skaters own estimate of their performance.
This thesis concludes with a set of guidelines on the use of pressure-based interactions using vibrotactile feedback to enable the presentation of task-related information to users in extreme mobile scenarios.
| Date of Award | 2018 |
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| Original language | English |
| Awarding Institution |
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| Sponsors | Engineering and Physical Sciences Research Council |
| Supervisor | Vicki Hanson (Supervisor) |