Interaction techniques with novel multimodal feedback for addressing gesture-sensing systems

Freeman, Euan (2016) Interaction techniques with novel multimodal feedback for addressing gesture-sensing systems. PhD thesis, University of Glasgow.

Full text available as:
[thumbnail of 2016FreemanPhd.pdf] PDF
Download (41MB)
Printed Thesis Information:


Users need to be able to address in-air gesture systems, which means finding where to perform gestures and how to direct them towards the intended system. This is necessary for input to be sensed correctly and without unintentionally affecting other systems. This thesis investigates novel interaction techniques which allow users to address gesture systems properly, helping them find where and how to gesture. It also investigates audio, tactile and interactive light displays for multimodal gesture feedback; these can be used by gesture systems with limited output capabilities (like mobile phones and small household controls), allowing the interaction techniques to be used by a variety of device types. It investigates tactile and interactive light displays in greater detail, as these are not as well understood as audio displays.

Experiments 1 and 2 explored tactile feedback for gesture systems, comparing an ultrasound haptic display to wearable tactile displays at different body locations and investigating feedback designs. These experiments found that tactile feedback improves the user experience of gesturing by reassuring users that their movements are being sensed. Experiment 3 investigated interactive light displays for gesture systems, finding this novel display type effective for giving feedback and presenting information. It also found that interactive light feedback is enhanced by audio and tactile feedback.

These feedback modalities were then used alongside audio feedback in two interaction techniques for addressing gesture systems: sensor strength feedback and rhythmic gestures. Sensor strength feedback is multimodal feedback that tells users how well they can be sensed, encouraging them to find where to gesture through active exploration. Experiment 4 found that they can do this with 51mm accuracy, with combinations of audio and interactive light feedback leading to the best performance. Rhythmic gestures are continuously repeated gesture movements which can be used to direct input. Experiment 5 investigated the usability of this technique, finding that users can match rhythmic gestures well and with ease.

Finally, these interaction techniques were combined, resulting in a new single interaction for addressing gesture systems. Using this interaction, users could direct their input with rhythmic gestures while using the sensor strength feedback to find a good location for addressing the system. Experiment 6 studied the effectiveness and usability of this technique, as well as the design space for combining the two types of feedback. It found that this interaction was successful, with users matching 99.9% of rhythmic gestures, with 80mm accuracy from target points. The findings show that gesture systems could successfully use this interaction technique to allow users to address them. Novel design recommendations for using rhythmic gestures and sensor strength feedback were created, informed by the experiment findings.

Item Type: Thesis (PhD)
Qualification Level: Doctoral
Additional Information: The research in this thesis was partly funded by Nokia Technologies, Finland.
Keywords: Gestures, gesture interaction, multimodal HCI, multimodal feedback, interactive light, audio feedback, tactile feedback, rhythmic gestures
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Colleges/Schools: College of Science and Engineering > School of Computing Science
Supervisor's Name: Brewster, Professor Stephen
Date of Award: 2016
Depositing User: Mr Euan Freeman
Unique ID: glathesis:2016-7140
Copyright: Copyright of this thesis is held by the author.
Date Deposited: 19 May 2016 08:46
Last Modified: 14 Jun 2016 10:26

Actions (login required)

View Item View Item


Downloads per month over past year