Electrical and Electronic Engineering (Book Chapters)

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  • Publication
    Understanding drivers’ perspectives on the use of driver monitoring systems during automated driving: Findings from a qualitative focus group study
    (Elsevier, 2024-07-24) Coyne, Rory; Hanlon, Michelle; Smeaton, Alan F.; Corcoran, Peter; Walsh, Jane C.; Science Foundation Ireland
    The ability to measure psychological states such as fatigue will become increasingly important with the introduction of automated driving systems (ADS) to everyday driving. Driver monitoring systems (DMS), which will soon be a required feature in all new vehicles, will be responsible for assessing the driver’s mental state in real-time. This will help to maximise the safety and social benefits of ADS. However, little is known about drivers’ perceptions of DMS. This qualitative focus group study used a reflexive thematic analysis approach to understand drivers’ perspectives on the use of DMS during automated driving. Seventeen drivers with no prior experience of ADS or DMS were interviewed across three focus group sessions and were shown a video outlining some of the capabilities of both systems. A semi-structured interview guide was used to gather qualitative data concerning drivers’ perceptions of the prospect of driver monitoring within automated driving and the expectations that they have. Reflexive thematic analysis was used to develop five themes. The findings show that drivers have more favourable attitudes towards DMS than ADS, due to an expectation that the latter will require a greater sacrifice of the driver’s control. Nonetheless, participants were sceptical of the reliability, security and privacy of driver monitoring, and expressed that it could detract from the enjoyment derived from driving. Participants were also concerned regarding the potential for driver data to be sold to third parties and used against them in various ways. Overall, drivers are sceptical of the value of driver monitoring and ADS and perceive them as separate entities as opposed to two systems working in partnership. This highlights an emerging challenge for researchers and system manufacturers, which will need be addressed in order to fully realise the individual and societal benefits of these new forms of technology.
  • Publication
    Trust models for community aware identity management
    (IUP Publications, 2008) Choi, Hee-Chul; Kruk, Sebastian Ryszard; Grzonkowski, S\lawomir; Grzonkowski, Slawomir; Stankiewicz, Katarzyna; Davis, Brian; Breslin, John G.
    [No abstract available]
  • Publication
    SIOC browser- towards a richer blog browsing experience
    (Books on Demand, 2006) Bojars, Uldis; Breslin, John G.; Passant, Alexandre
    [No abstract available]
  • Publication
    Semantic community portals
    (IGI Global, 2007) O’Murchu, Ina; Zhdanova, Anna V.; Breslin, John G.
    Many virtual communities have surfaced and come together on the World Wide Web. Web-based community portals serve as a one-stop place for all information needs serving a group of users that have common interests. As organizations become highly dynamic and the people that join them become more geographically dispersed, the need for improved ways to share and distribute data and information amongst the community or organization members has increased dramatically.
  • Publication
    Representing and sharing tagging data using the social semantic cloud of tags
    (IGI Global, 2009-07) Kim, Hak-Lae; Breslin, John G.; Deckar, Stefan; Kim, Hong-Gee
    Social tagging has become an essential element for Web 2.0 and the emerging Semantic Web applications. With the rise of Web 2.0, websites that provide content creation and sharing features have become extremely popular. These sites allow users to categorize and browse content using tags (i.e., free-text keyword topics). However, the tagging structures or folksonomies created by users and communities are often interlocked with a particular site and cannot be reused in a different system or by a different client. This chapter presents a model for expressing the structure, features, and relations among tags in different Web 2.0 sites. The model, termed the Social Semantic Cloud of Tags (SCOT), allows for the exchange of semantic tag metadata and reuse of tags in various social software applications.
  • Publication
    The KEYSTONE IC1302 COST Action
    (Springer International Publishing, 2018) Guerra, Francesco; Velegrakis, Yannis; Cardoso, Jorge; Breslin, John G.; Science Foundation Ireland; European Cooperation in Science and Technology
    As more and more data becomes available on the Web, as its complexity increases and as the Web’s user base shifts towards a more general non-technical population, keyword searching is becoming a valuable alternative to traditional SQL queries, mainly due to its simplicity and the lower effort/expertise it requires. Existing approaches suffer from a number of limitations when applied to multi-source scenarios requiring some form of query planning, without direct access to database instances, and with frequent updates precluding any effective implementation of data indexes. Typical scenarios include Deep Web databases, virtual data integration systems and data on the Web. Therefore, building effective keyword searching techniques can have an extensive impact since it allows non-professional users to access large amounts of information stored in structured repositories through simple keyword-based query interfaces. This revolutionises the paradigm of searching for data since users are offered access to structured data in a similar manner to the one they already use for documents. To build a successful, unified and effective solution, the action “semantic KEYword-based Search on sTructured data sOurcEs” (KEYSTONE) promoted synergies across several disciplines, such as semantic data management, the Semantic Web, information retrieval, artificial intelligence, machine learning, user interaction, interface design, and natural language processing. This paper describes the main achievements of this COST Action.