dc.contributor.author | Belk, Marios | en |
dc.contributor.author | Portugal, D. | en |
dc.contributor.author | Christodoulou, Eleni | en |
dc.contributor.author | Samaras, George S. | en |
dc.creator | Belk, Marios | en |
dc.creator | Portugal, D. | en |
dc.creator | Christodoulou, Eleni | en |
dc.creator | Samaras, George S. | en |
dc.date.accessioned | 2019-11-13T10:38:27Z | |
dc.date.available | 2019-11-13T10:38:27Z | |
dc.date.issued | 2015 | |
dc.identifier.isbn | 978-1-4503-3146-3 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/53635 | |
dc.description.abstract | This paper presents a method for analyzing users' computer mouse interaction data with the aim to implicitly identify task completion difficulty while interacting with a system. Computer mouse motion streams and users' skin conductance signals, acquired via an in-house developed computer mouse, and users' feedback were investigated as reactions to task difficulty raising events. A classification algorithm was developed, producing real-time user models of user hesitation states. Preliminary results of a study in progress with seven older adults at work (age 56+) provide initial indications about links between mouse triggering states of user hesitation and task completion difficulty. Copyright is held by the author/owner(s). | en |
dc.publisher | Association for Computing Machinery | en |
dc.source | Conference on Human Factors in Computing Systems - Proceedings | en |
dc.source | 33rd Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2015 | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84954233615&doi=10.1145%2f2702613.2732881&partnerID=40&md5=146121e58fa437761dbb5829bec129e6 | |
dc.subject | Sensors | en |
dc.subject | Human computer interaction | en |
dc.subject | Human engineering | en |
dc.subject | Older adults | en |
dc.subject | Computer hardware description languages | en |
dc.subject | User study | en |
dc.subject | Classification algorithm | en |
dc.subject | Computer mouse | en |
dc.subject | In-house developed computer | en |
dc.subject | Skin conductance | en |
dc.subject | Task difficulty | en |
dc.subject | User models | en |
dc.title | CogniMouse: On detecting users' task completion difficulty through computer mouse interaction | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.identifier.doi | 10.1145/2702613.2732881 | |
dc.description.volume | 18 | |
dc.description.startingpage | 1019 | |
dc.description.endingpage | 1024 | |
dc.author.faculty | 002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Πληροφορικής / Department of Computer Science | |
dc.type.uhtype | Conference Object | en |
dc.description.notes | <p>Sponsors: ACM Special Interest Group on Computer-Human Interaction (ACM SIGCHI) | en |
dc.description.notes | Conference code: 116996 | en |
dc.description.notes | Cited By :4</p> | en |
dc.contributor.orcid | Belk, Marios [0000-0001-6200-0178] | |
dc.gnosis.orcid | 0000-0001-6200-0178 | |