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A Survey on Different Means of Personalized Dialog Output for an Adaptive Personal Assistant

Published: 02 July 2018 Publication History

Abstract

Using Personal Assistants (PAs) for tasks in our everyday life is quite common these days. The PAs (Apple Siri, Amazon Alexa, Google Now, Microsoft Cortana etc.) help us to set reminders, find our way through traffic, or send messages to friends and colleagues. While being always available to serve our needs, they collect our personal data to improve their Services and tune their behavior. In order to find out which features (e.g., proactivity, storing of data) are accepted or even desired by potential users to model an adaptive PA with respective spoken output, we conducted an online survey with 1,051 German speaking and 499 US participants. We compared the participants' information on their interaction with different systems, including in-vehicle Spoken Dialog Systems (SDSs), smartphone voice control, and smart home devices (e.g., Amazon Echo, Google Home). We had a look both into output features of spoken dialog by showing dialog examples, as well as posing direct questions on potential system features and its interaction behavior. The results show that especially proactivity is desired by the participants while none of the participants has a positive attitude towards the systems' data usage when asked explicitly.

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Cited By

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  • (2024)When to Approach the User: Investigating Suitable Context Factors for Proactive Voice Assistance in Automated CarsProceedings of Mensch und Computer 202410.1145/3670653.3670672(299-309)Online publication date: 1-Sep-2024
  • (2024)Think, Act, and Ask: Open-World Interactive Personalized Robot Navigation2024 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA57147.2024.10610178(3296-3303)Online publication date: 13-May-2024
  • (2024)Aligning smart home technology attributes with users’ preferences: a literature reviewIntelligent Buildings International10.1080/17508975.2024.241864816:3(129-143)Online publication date: 12-Nov-2024
  • Show More Cited By

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cover image ACM Conferences
UMAP '18: Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization
July 2018
349 pages
ISBN:9781450357845
DOI:10.1145/3213586
  • General Chairs:
  • Tanja Mitrovic,
  • Jie Zhang,
  • Program Chairs:
  • Li Chen,
  • David Chin
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 02 July 2018

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Author Tags

  1. dialog systems
  2. personal assistants
  3. personalization
  4. voice control

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UMAP '18 Paper Acceptance Rate 26 of 93 submissions, 28%;
Overall Acceptance Rate 162 of 633 submissions, 26%

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Cited By

View all
  • (2024)When to Approach the User: Investigating Suitable Context Factors for Proactive Voice Assistance in Automated CarsProceedings of Mensch und Computer 202410.1145/3670653.3670672(299-309)Online publication date: 1-Sep-2024
  • (2024)Think, Act, and Ask: Open-World Interactive Personalized Robot Navigation2024 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA57147.2024.10610178(3296-3303)Online publication date: 13-May-2024
  • (2024)Aligning smart home technology attributes with users’ preferences: a literature reviewIntelligent Buildings International10.1080/17508975.2024.241864816:3(129-143)Online publication date: 12-Nov-2024
  • (2024)Let’s Talk Games: An Expert Exploration of Speech Interaction with NPCsInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2338666(1-21)Online publication date: 19-Apr-2024
  • (2024)Embarking on Inclusive Voice User Interfaces: Initial Steps in Exploring Technology Integration Within the Seminar ‘AI and Educational Sciences’Universal Access in Human-Computer Interaction10.1007/978-3-031-60875-9_3(35-50)Online publication date: 29-Jun-2024
  • (2023)Tickling Proactivity: Exploring the Use of Humor in Proactive Voice AssistantsProceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia10.1145/3626705.3627777(294-320)Online publication date: 3-Dec-2023
  • (2023)How May I Interrupt? Linguistic-Driven Design Guidelines for Proactive in-Car Voice AssistantsInternational Journal of Human–Computer Interaction10.1080/10447318.2023.226625140:22(7517-7531)Online publication date: 15-Oct-2023
  • (2023)Voice Assistants for Therapeutic Support – A Literature ReviewDesign, Operation and Evaluation of Mobile Communications 10.1007/978-3-031-35921-7_15(221-239)Online publication date: 23-Jul-2023
  • (2022)Understanding Circumstances for Desirable Proactive Behaviour of Voice Assistants: The Proactivity DilemmaProceedings of the 4th Conference on Conversational User Interfaces10.1145/3543829.3543834(1-14)Online publication date: 26-Jul-2022
  • (2021)May I Interrupt? Diverging Opinions on Proactive Smart SpeakersProceedings of the 3rd Conference on Conversational User Interfaces10.1145/3469595.3469629(1-10)Online publication date: 27-Jul-2021
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