Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Effortless Polite Telepresence using Intention Recognition

Bibliographic Data

ID22190878
AuthorsMorteza Daneshmand (0000-0003-2122-2051, Kyoto University), Jani Even (0000-0003-0743-5384, Kyoto University), Takayuki Kanda (0000-0002-9546-5825, Kyoto University)
Year2024
Volume13
Issue1
Pages1-19
Publication date2024-03-31
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueACM Transactions on Human-Robot Interaction (JOURNAL)
Journal identifiersISSN: 2573-9522 • E-ISSN: 2573-9522
PublisherAssociation for Computing Machinery (ACM) (PUBLISHER)
DOI10.1145/3636433
OpenAlexW4389675151
LanguageEN
Citations received2
References cited38

Telepresence technology creates the opportunity for people that were traditionally left out of the workforce to work remotely. In the service industry, a pool of novice remote workers could teleoperate robots to perform short work stints to fill in the gaps left by the dwindling workforce. A hurdle is that consistently talking appropriately and politely imposes a severe mental burden on such novice operators and the quality of the service may suffer. In this study, we propose a teleoperation support system that lets novice remote workers talk freely without considering appropriateness and politeness while maintaining the quality of the service. The proposed system exploits intent recognition to transform casual utterances into predefined appropriate and polite utterances. We conducted a within-subject user study where 23 participants played the role of novice remote operators controlling a guardsman robot in charge of monitoring customers’ behaviors. We measured the workload with and without using the proposed support system using NASA task load index questionnaires. The workload was significantly lower ( p M = 46.07, SD = 14.36) than when not using it ( M = 62.74, SD = 12.70). The effect size was large (Cohen’s d = 1.23)

Business · Casual · Human–computer interaction · Multimedia · Politeness · Robot · Teleoperation · Workforce · Workload · AI in Service Interactions · Computer Science · Engineering · Human-Automation Interaction and Safety · Social Robot Interaction and HRI · Artificial Intelligence

  • Envisioning Telepresence Robots for Long Covid

    Pratyusha Ghosh, Arthi Haripriyan et al.•ACM Transactions on Human-Robot…•2026

  • Voice Volume Gauge

    Open Access•Keigo Matsushima, Tomonori Kubota et al.•International Journal of Social…•2026

  • Human–Robot Interaction

    Michael A Goodrich, Alan C Schultz•Foundations and Trends® in…•2008

  • Politeness in Language

    Richard J Watts, Sachiko Ide et al.•Politeness in Language•1992

  • Artificial intelligence service recovery

    Open Access•Xingyang Lv, Yufan Yang et al.•Computers in Human Behavior•2022

  • Tools or peers? Impacts of anthropomorphism level and social role on emotional attachment and disclosure tendency towards intelligent agents

    Open Access•Andong Zhang, Pei‐Luen Patrick Rau•Computers in Human Behavior•2023

  • Easy Interface and Control of Tele-education Robots

    Open Access•Sang-Seok Yun, Munsang Kim et al.•International Journal of Social…•2013

  • Demographic change as a driver for tourism automation

    Open Access•Craig Webster, Stanislav Ivanov•Journal of Tourism Futures•2020

  • Attitudes of hotel customers towards the use of service robots in hospitality service encounters

    Open Access•Ahu Yazici Ayyildiz, Muhammed Baykal et al.•Technology in Society•2022

  • Robomorphism

    Open Access•Alexander P Schouten, Tijs Portegies et al.•Computers in Human Behavior•2021

  • What do Older Adults Want from Social Robots? A Qualitative Research Approach to Human-Robot Interaction (HRI) Studies

    Open Access•Roger A Søraa, Gunhild Tøndel et al.•International Journal of Social…•2022

  • Universal politeness theory

    Open Access•Atsushi Fukada, Noriko Asato•Journal of Pragmatics•2004

Unique citing works2
Citations per year2
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae