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  5. What Can I Help You With?: Infrequent Users Experiences of Intelligent Personal Assistants
 
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What Can I Help You With?: Infrequent Users Experiences of Intelligent Personal Assistants

Author(s)
Cowan, Benjamin R.  
Pantidi, Nadia  
Coyle, David  
Morrissey, Kellie  
Clarke, P. (Peter)  
Al-Shehri, Sara  
Earley, David  
Bandeira, Natasha  
Uri
http://hdl.handle.net/10197/9125
Date Issued
2017-09-07
Date Available
2017-12-19T17:08:36Z
Abstract
Intelligent Personal Assistants (IPAs) are widely available on devices such as smartphones. However, most people do not use them regularly. Previous research has studied the experiences of frequent IPA users. Using qualitative methods we explore the experience of infrequent users: people who have tried IPAs, but choose not to use them regularly. Unsurprisingly infrequent users share some of the experiences of frequent users, e.g. frustration at limitations on fully hands-free interaction. Significant points of contrast and previously unidentified concerns also emerge. Cultural norms and social embarrassment take on added significance for infrequent users. Humanness of IPAs sparked comparisons with human assistants, juxtaposing their limitations. Most importantly, significant concerns emerged around privacy, monetization, data permanency and transparency. Drawing on these findings we discuss key challenges, including: designing for interruptability; reconsideration of the human metaphor; issues of trust and data ownership. Addressing these challenges may lead to more widespread IPA use.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
ACM
Copyright (Published Version)
2017 ACM
Subjects

Machine learning

Statistics

Intelligent personal ...

Speech interfaces

User experience

Trust

Privacy

DOI
10.1145/3098279.3098539
Language
English
Status of Item
Peer reviewed
Conference Details
The 19th International Conference on Human-Computer Interaction with Mobile Devices and Services, Vienna, Austria, September 4-7 2017
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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insight_publication.pdf

Size

480.23 KB

Format

Adobe PDF

Checksum (MD5)

05319d21f772f3b6a3c5518351ba26f7

Owning collection
Insight Research Collection
Mapped collections
UCD Library Staff Research Collection

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.

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