Remote monitoring of end-user created automations in field trials

Manca, Marco; Paternò, Fabio; Santoro, Carmen

doi:10.1007/s12652-021-03239-0

Cited by 14 publications

(2 citation statements)

References 47 publications

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“…Acceptance and adoption of smart spaces in daily life depend on their ability to obtain an engaging orchestration among a wide set of connected objects and services [17]. Existing solutions to define the behavior of such Internet-of-Things (IoT) ecosystems range from systems that grant users complete control for establishing the joint behavior of smart objects to solutions that automatically define smart objects behavior by exploiting intelligent techniques.…”

Section: Orchestrate and Delegatementioning

confidence: 99%

Intervening, Teaming, Delegating: Creating Engaging Automation Experiences

Fröhlich

Baldauf

Palanque

et al. 2023

Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

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Automated systems are becoming common in private, public and professional life. Given their increasing ubiquity and availability to a growing diversity of users, it is important to explore requirements, design principles, and user experience factors across application sectors and scientific disciplines. This workshop provides a forum for researchers and practitioners active in the field of "Automation Experience". In a keynote talk, a poster madness, discussions, and hands-on sessions, the participants will explore and discuss specific opportunities and challenges related to future forms of engagement with an increasing number of automated entities (automations). To this end, the focus topics for the workshop comprise (1) novel ways for monitoring of and intervening with increasingly intelligent agents and artifacts, (2) collaborative interaction to support teaming up and cooperation among humans and automations, and (3) orchestration and delegation of increasingly complex tasks to smart spaces. The results of the workshop are a set of research ideas and drafts of joint research initiatives to drive further automation experience research in a collaborative and interdisciplinary manner. CCS CONCEPTS• Human-centered computing → Human computer interaction (HCI).

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Section: Orchestrate and Delegatementioning

confidence: 99%

Intervening, Teaming, Delegating: Creating Engaging Automation Experiences

Fröhlich

Baldauf

Palanque

et al. 2023

Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

View full text Add to dashboard Cite

show abstract

“…Scientific research (e.g., refs. [11][12][13][14]) has addressed the problem of allowing the creation of more complex rules through easy-to-use graphical user interfaces, augmented reality [15], voicebased interfaces [16][17][18], and multi-modal interfaces combining visual, voice, and touch interaction [19].…”

Section: Introductionmentioning

confidence: 99%

Enabling End-User Development in Smart Homes: A Machine Learning-Powered Digital Twin for Energy Efficient Management

Cotti,

Guizzardi,

Barricelli

et al. 2024

Future Internet

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End-User Development has been proposed over the years to allow end users to control and manage their Internet of Things-based environments, such as smart homes. With End-User Development, end users are able to create trigger-action rules or routines to tailor the behavior of their smart homes. However, the scientific research proposed to date does not encompass methods that evaluate the suitability of user-created routines in terms of energy consumption. This paper proposes using Machine Learning to build a Digital Twin of a smart home that can predict the energy consumption of smart appliances. The Digital Twin will allow end users to simulate possible scenarios related to the creation of routines. Simulations will be used to assess the effects of the activation of appliances involved in the routines under creation and possibly modify them to save energy consumption according to the Digital Twin’s suggestions.

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Teaching End-User Development in the Time of IoT and AI

Paternò

2022

Lecture Notes in Computer Science

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Remote monitoring of end-user created automations in field trials

Cited by 14 publications

References 47 publications

Intervening, Teaming, Delegating: Creating Engaging Automation Experiences

Intervening, Teaming, Delegating: Creating Engaging Automation Experiences

Enabling End-User Development in Smart Homes: A Machine Learning-Powered Digital Twin for Energy Efficient Management

Teaching End-User Development in the Time of IoT and AI

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