Mapping Perceptions of Humanness in Speech-Based Intelligent Personal Assistant Interaction

07/26/2019
by   Philip R. Doyle, et al.
0

Humanness is core to speech interface design. Yet little is known about how users conceptualise perceptions of humanness and how people define their interaction with speech interfaces through this. To map these perceptions n=21 participants held dialogues with a human and two speech interface based intelligent personal assistants, and then reflected and compared their experiences using the repertory grid technique. Analysis of the constructs show that perceptions of humanness are multidimensional, focusing on eight key themes: partner knowledge set, interpersonal connection, linguistic content, partner performance and capabilities, conversational interaction, partner identity and role, vocal qualities and behavioral affordances. Through these themes, it is clear that users define the capabilities of speech interfaces differently to humans, seeing them as more formal, fact based, impersonal and less authentic. Based on the findings, we discuss how the themes help to scaffold, categorise and target research and design efforts, considering the appropriateness of emulating humanness.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
10/16/2018

The State of Speech in HCI: Trends, Themes and Challenges

Speech interfaces are growing in popularity. Through a review of 68 rese...
research
02/03/2021

What Do We See in Them? Identifying Dimensions of Partner Models for Speech Interfaces Using a Psycholexical Approach

Perceptions of system competence and communicative ability, termed partn...
research
09/03/2019

Deaf, Hard of Hearing, and Hearing Perspectives on using Automatic Speech Recognition in Conversation

Many personal devices have transitioned from visual-controlled interface...
research
08/14/2023

The Partner Modelling Questionnaire: A validated self-report measure of perceptions toward machines as dialogue partners

Recent work has looked to understand user perceptions of speech agent ca...
research
02/15/2020

Designing Interaction for Multi-agent Cooperative System in an Office Environment

Future intelligent system will involve very various types of artificial ...
research
05/24/2021

Introducing the Talk Markup Language (TalkML):Adding a little social intelligence to industrial speech interfaces

Virtual Personal Assistants like Siri have great potential but such deve...
research
06/03/2021

Eliciting Spoken Interruptions to Inform Proactive Speech Agent Design

Current speech agent interactions are typically user-initiated, limiting...

Please sign up or login with your details

Forgot password? Click here to reset