You Drive Me Crazy! Interactive QoE Assessment for Telepresence Robot Control
|Title:||You Drive Me Crazy! Interactive QoE Assessment for Telepresence Robot Control||Authors:||Jahromi, Hamed Z.; Bartolec, Ivan; Gamboa, Edwin; Hines, Andrew; Schatz, Raimund||Permanent link:||http://hdl.handle.net/10197/12210||Date:||28-May-2020||Online since:||2021-05-26T11:45:03Z||Abstract:||Telepresence robots (TPRs) are versatile, remotely controlled vehicles that enable physical presence and human-to-human interaction over a distance. Thanks to improving hardware and dropping price points, TPRs enjoy the growing interest in various industries and application domains. Still, a satisfying experience remains key for their acceptance and successful adoption, not only in terms of enabling remote communication with others, but also in terms of managing robot mobility by means of remote navigation. This paper focuses on the latter aspect of remote operation which has been hitherto neglected. We present the results of an extensive subjective study designed to systematically assess remote navigation Quality of Experience (QoE) in the context of using a TPR live over the Internet. Participants were ‘beamed’ into a remote office space and asked to perform characteristic TPR remote operation tasks (driving, turning, parking). Visual and control dimensions of their experience were systematically impaired by altering network characteristics (bandwidth, delay and packet loss rate) in a controlled fashion. Our results show that users can differentiate well between visual and navigation/control aspects of their experience. Furthermore, QoE impairment sensitivity varies with the actual task at hand.||Funding Details:||European Commission - European Regional Development Fund
Science Foundation Ireland
|Funding Details:||Insight Research Centre
California Telecom Inc.
ECML/PKDD Summer School 19
Croatian Science Foundation
|Type of material:||Conference Publication||Publisher:||IEEE||Copyright (published version):||2020 IEEE||Keywords:||Machine learning & statistics; Telepresence robotics; Remote navigation; Subjective QoE assessment; Network impairments||DOI:||10.1109/QoMEX48832.2020.9123117||Other versions:||https://qomex2020.ie/||Language:||en||Status of Item:||Peer reviewed||Is part of:||2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX)||Conference Details:||The 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX), Athlone, Ireland (held online due to coronavirus outbreak), 26-28 May 2020||ISBN:||978-1-7281-5965-2||This item is made available under a Creative Commons License:||https://creativecommons.org/licenses/by-nc-nd/3.0/ie/|
|Appears in Collections:||Computer Science Research Collection|
Insight Research Collection
Show full item record
If you are a publisher or author and have copyright concerns for any item, please email email@example.com and the item will be withdrawn immediately. The author or person responsible for depositing the article will be contacted within one business day.