Repository logo
  • Log In
    New user? Click here to register.Have you forgotten your password?
University College Dublin
    Colleges & Schools
    Statistics
    All of DSpace
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. UCD Theses
  3. College of Social Sciences and Law
  4. Information and Communication Studies Theses
  5. Using Speech to Interrupt Complex Tasks
 
  • Details
Options

Using Speech to Interrupt Complex Tasks

Author(s)
Edwards, Justin  
Uri
http://hdl.handle.net/10197/25387
Date Issued
2023
Date Available
2024-02-06T13:14:00Z
Abstract
Interacting with computers using speech promises the benefit of multitasking while one’s hands and eyes are occupied by another task. Users of spoken dialogue sys- tems have not seen this technology as living up to its potential however, in part be- cause speech agents interactions largely behave like traditional interface interactions, initiated by the user. In order to harness the full multitasking benefit of speech as an interaction modality, speech agents must interactive proactively, but doing so means that agents will need to interrupt users engaged in other tasks. While general guide- lines have been proposed for the design of proactive agents in general, the design of proactive speech which interrupts has not been explored in specific. Interrupting speech from proactive agents can take design inspiration from the ways people use speech to interrupt other people, but human speech interruptions are likewise not well understood. The first study of this thesis uses a mixed methods approach to investi- gate the effect of the urgency on people’s timing and strategies for interrupting with speech. The second study complements that data by comparing the effect of urgency on interruption timings and strategies to the effect of the difficulty of the task which is interrupted. The third study uses a data-driven approach to classify the interruptible moments of a complex task in order to analyse the extent to which participants from the prior studies utilised these dynamic characteristics of the ongoing task to shape their interruptions. Finally, the fourth study applies findings from human speech inter- ruption to the design of a proactive agent to investigate the effects of human-inspired adaptivity to context on people’s perceptions of a proactive speech agent. Findings suggest that human speech interruptions are highly diverse and adaptive to context, but such adaptivity may be seen as inappropriate and inconsistent when applied to a speech agent. The implications of this research and its limitations are discussed in the closing chapter.
Sponsorship
Science Foundation Ireland
Type of Material
Doctoral Thesis
Publisher
University College Dublin. School of Information and Communication Studies
Qualification Name
Ph.D.
Copyright (Published Version)
2023 the Author
Subjects

Speech processing sys...

Human-computer intera...

User interfaces

Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
Loading...
Thumbnail Image
Name

Thesis.pdf

Size

4.9 MB

Format

Adobe PDF

Checksum (MD5)

97da862923128e5a64ff59677a78d2c5

Owning collection
Information and Communication Studies Theses

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement