Voicing Suggestions and Enabling Reflection: Results of an Expert Discussion on Proactive Assistants for Time Management
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Conference PaperDate:
2023Access:
openAccessCitation:
Jovan Jeromela, Owen Conlan, Voicing Suggestions and Enabling Reflection: Results of an Expert Discussion on Proactive Assistants for Time Management, The 5th International Conference on Conversational User Interfaces, Eindhoven, The Netherlands, Minha Lee, Cosmin Munteanu, Martin Porcheron, Johanne Trippas, Sarah Theres V?lkel, Association for Computing MachineryNew YorkNYUnited States, 2023, 1 - 6Download Item:
Abstract:
While voice-controllable Intelligent Personal Assistants (IPAs) have become widespread in recent years, they remain primarily reactive with rather constrained calendaring capabilities. Anticipating more adaptive and complex assistants in the future, we organised a multidisciplinary expert discussion investigating potential use cases, interaction principles, and user modelling challenges within proactive IPAs for time management. This paper presents the identified themes and deliberations on enticing self-reflection, longitudinal task assistance, interaction modality, dialogue design, perception of the system, usage willingness, onboarding, and explainability. These findings outline a framework of advanced IPAs for time management.
Sponsor
Grant Number
Science Foundation Ireland (SFI)
18/CRT/6223
Science Foundation Ireland (SFI)
13/RC/2106_P2
Author's Homepage:
http://people.tcd.ie/jeromeljhttp://people.tcd.ie/owconlan
Description:
PUBLISHEDPoster paper
Eindhoven, The Netherlands
Author: Jeromela, Jovan; Conlan, Owen
Sponsor:
Science Foundation Ireland (SFI)Science Foundation Ireland (SFI)
Other Titles:
The 5th International Conference on Conversational User InterfacesPublisher:
Association for Computing MachineryNew YorkNYUnited StatesType of material:
Conference PaperCollections
Availability:
Full text availableKeywords:
Adaptation, Context, Data representation, Personalisation, Control, Time managementSubject (TCD):
Digital Engagement , Artificial Intelligence , Human computer interactions , Ubiquitous ComputingDOI:
http://dx.doi.org/10.1145/3571884.3604317Metadata
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