2011
DOI: 10.1016/j.ijhcs.2011.05.003
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Modeling of operators' emotion and task performance in a virtual driving environment

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Cited by 97 publications
(52 citation statements)
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“…SAM was successfully used by other authors in various contexts (e.g. [7][9] [22]) Figure 3 shows (a) the original SAM, as proposed by [28] and (b) the values attributed to each figure to determine and manage ratings and results. The number 9 was assigned to the most positive alternative of each sequence (therefore the order in the third row is different from the other two).…”
Section: Participants Methods and Materialsmentioning
confidence: 99%
“…SAM was successfully used by other authors in various contexts (e.g. [7][9] [22]) Figure 3 shows (a) the original SAM, as proposed by [28] and (b) the values attributed to each figure to determine and manage ratings and results. The number 9 was assigned to the most positive alternative of each sequence (therefore the order in the third row is different from the other two).…”
Section: Participants Methods and Materialsmentioning
confidence: 99%
“…Besides the triplet discussed in this section, many other disciplines within computer science should take emotions into account as well; for example, virtual reality (VR) [86,474,488,616], color processing [539], ambient intelligence (AmI) and ubiquitous computing (UbiComp) [1,207,471,540,668,669,676], multimedia [21,595,741], the World Wide Web (WWW) [199], and information retrieval (IR) [282,283,485]. To conclude, I hope that I have shown the substantial impact emotions have on many of the disciplines within computer science.…”
Section: Three Disciplines One Familymentioning
confidence: 99%
“…In the pursuit of a method to trigger emotions in a more or less controlled manner, a range of methods have been applied: actors, images (IAPS) (see Chapter 5), sounds (e.g., music) [316,681], (fragments of) movies (see Chapters 3, 4, 6, and 7), speech [677], commercials [529], games (including serious gaming), agents, virtual reality [86,474,488,616], reliving of emotions (see Chapters 8 and 9), and real world experiences [269,270,272,316]; see also Table 2.4. However, how can we know which of these methods actually triggered participants' true emotions?…”
Section: Validationmentioning
confidence: 99%
“…Campagne et al [3] studied the relationship of driver's age difference to traffic accidence numbers using EEG recorder, and the result showed that driver's vigilance would decrease and the number of operation mistakes would grow as the age increases. Brundell-Freij and Ericsson [4], Leng et al [5], Pêcher [6], Di Stasi [7], Taubman-Ben-Ari [8], Cai and Lin [9], Parker et al [10], Trick et al [11], Lansdown [12], Daffy [13], Wang et al [14][15][16], Weng and Meng [17], Verschuur and Hurts [18], Zhang et al [19], Gosselin et al [20], and Hu et al [21], Danciu et al [22] have studied driver behavior characteristics from different angles. However, in the field of vehicle active safety, there are few researches on driver's affective characteristics from microcosmic and dynamic perspective.…”
Section: Forewordmentioning
confidence: 99%