dc.contributor.author | Jokinen, Jussi P. P. | |
dc.contributor.author | Silvennoinen, Johanna | |
dc.date.accessioned | 2016-12-01T07:17:00Z | |
dc.date.available | 2016-12-01T07:17:00Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Jokinen, J. P.P., & Silvennoinen, J. (2016). Interactive map interface for controlling bridge crane automation : a cognitive-affective approach. In <i>Academic MindTrek'16 : Proceedings of the 20th International Academic MindTrek Conference</i> (pp. 95-103). Association for Computing Machinery (ACM). <a href="https://doi.org/10.1145/2994310.2994319" target="_blank">https://doi.org/10.1145/2994310.2994319</a> | |
dc.identifier.other | CONVID_26282437 | |
dc.identifier.other | TUTKAID_71540 | |
dc.identifier.uri | https://jyx.jyu.fi/handle/123456789/52105 | |
dc.description.abstract | This study outlines the development process of a new touch
screen based user interface for controlling bridge crane
automation in industrial environments. A user study of existing
situation (n1 = 11) was used to develop an understanding of the
cognitive and emotional design goals for crane operation.
Conceptualization of these goals in the context of automation
produced a set of requirements, which were used to develop a
map-based touch screen user interface. Two field tests (n2 = 5, n3
= 5) revealed how bridge crane operators cognise and emotionally
experience the increasing automation and how the user interface
should be designed to support the operator’s spatial mental
representation as well as their feeling of competence, trust and
anxiety avoidance. | |
dc.format.extent | 483 | |
dc.language.iso | eng | |
dc.publisher | Association for Computing Machinery (ACM) | |
dc.relation.ispartof | Academic MindTrek'16 : Proceedings of the 20th International Academic MindTrek Conference | |
dc.subject.other | interface design | |
dc.subject.other | mobile map | |
dc.subject.other | emotional design | |
dc.title | Interactive map interface for controlling bridge crane automation : a cognitive-affective approach | |
dc.type | conferenceObject | |
dc.identifier.urn | URN:NBN:fi:jyu-201611304838 | |
dc.contributor.laitos | Tietojenkäsittelytieteiden laitos | fi |
dc.contributor.laitos | Department of Computer Science and Information Systems | en |
dc.contributor.oppiaine | Kognitiotiede | fi |
dc.contributor.oppiaine | Cognitive Science | en |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | |
dc.date.updated | 2016-11-30T10:15:03Z | |
dc.relation.isbn | 978-1-4503-4367-1 | |
dc.type.coar | conference paper | |
dc.description.reviewstatus | peerReviewed | |
dc.format.pagerange | 95-103 | |
dc.type.version | acceptedVersion | |
dc.rights.copyright | © 2016 ACM. This is a final draft version of an article whose final and definitive form has been published by ACM. Published in this repository with the kind permission of the publisher. | |
dc.rights.accesslevel | openAccess | fi |
dc.relation.conference | MindTrek conference | |
dc.subject.yso | automaatio | |
jyx.subject.uri | http://www.yso.fi/onto/yso/p11477 | |
dc.relation.doi | 10.1145/2994310.2994319 | |