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HeyTAP: Bridging the Gaps Between Users' Needs and Technology in IF-THEN Rules via Conversation

Published: 02 October 2020 Publication History
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  • Abstract

    In the Internet of Things era, users are willing to personalize the joint behavior of their connected entities, i.e., smart devices and online service, by means of IF-THEN rules. Unfortunately, how to make such a personalization effective and appreciated is still largely unknown. On the one hand, contemporary platforms to compose IF-THEN rules adopt representation models that strongly depend on the exploited technologies, thus making end-user personalization a complex task. On the other hand, the usage of technology-independent rules envisioned by recent studies opens up new questions, and the identification of available connected entities able to execute abstract users' needs become crucial. To this end, we present HeyTAP, a conversational and semantic-powered trigger-action programming platform able to map abstract users' needs to executable IF-THEN rules. By interacting with a conversational agent, the user communicates her personalization intentions and preferences. User's inputs, along with contextual and semantic information related to the available connected entities, are then used to recommend a set of IF-THEN rules that satisfies the user's needs. An exploratory study on 8 end users preliminary confirms the effectiveness and the appreciation of the approach, and shows that HeyTAP can successfully guide users from their needs to specific rules.

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    cover image ACM Other conferences
    AVI '20: Proceedings of the 2020 International Conference on Advanced Visual Interfaces
    September 2020
    613 pages
    ISBN:9781450375351
    DOI:10.1145/3399715
    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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    Published: 02 October 2020

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    Author Tags

    1. Abstraction
    2. Conversational Agent
    3. Internet of Things
    4. Recommender System
    5. Semantic Web
    6. Trigger-Action Programming

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    AVI '20
    AVI '20: International Conference on Advanced Visual Interfaces
    September 28 - October 2, 2020
    Salerno, Italy

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    AVI '20 Paper Acceptance Rate 36 of 123 submissions, 29%;
    Overall Acceptance Rate 128 of 490 submissions, 26%

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    • (2023)A Mobile Augmented Reality App for Creating, Controlling, Recommending Automations in Smart HomesProceedings of the ACM on Human-Computer Interaction10.1145/36042427:MHCI(1-22)Online publication date: 13-Sep-2023
    • (2023)Understanding In-Situ Programming for Smart Home AutomationProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35962547:2(1-31)Online publication date: 12-Jun-2023
    • (2023)From Gap to Synergy: Enhancing Contextual Understanding through Human-Machine Collaboration in Personalized SystemsProceedings of the 36th Annual ACM Symposium on User Interface Software and Technology10.1145/3586183.3606741(1-15)Online publication date: 29-Oct-2023
    • (2023)Generating Scenario-Centric TAP Rules for Smart Homes by Mining Historical Event Logs2023 IEEE International Conference on Web Services (ICWS)10.1109/ICWS60048.2023.00015(21-27)Online publication date: Jul-2023
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    • (2023)Towards personalized control of things using Arabic voice commands for elderly and with disabilities peopleInternational Journal of Information Technology10.1007/s41870-023-01628-6Online publication date: 15-Dec-2023
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    • (2023)Understanding Concepts, Methods and Tools for End-User Control of Automations in Ecosystems of Smart Objects and ServicesEnd-User Development10.1007/978-3-031-34433-6_7(104-124)Online publication date: 6-Jun-2023
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