Multisensory Immersive Analytics
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Immersive Analytics. gol. / Kim Marriott; Falk Schreiber; Tim Dwyer; Karsten Klein; Nathalie Henry Riche; Takayuki Itoh; Wolfgang Stuerzlinger; Bruce H. Thomas. Cyfrol 11190 1. gol. Switzerland: Springer Nature, 2018. t. 57-94 (LNCS).
Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Pennod › adolygiad gan gymheiriaid
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TY - CHAP
T1 - Multisensory Immersive Analytics
AU - McCormack, Jon
AU - Roberts, Jonathan C.
AU - Bach, Benjamin
AU - Freitas, Carla Dal Sasso
AU - Itoh, Takayuki
AU - Hurter, Christophe
AU - Marriott, Kim
PY - 2018/10/18
Y1 - 2018/10/18
N2 - While visual cues are traditionally used for visual analytics, multimodal interaction technologies o er many new possibilities. This chapter explores the opportunities and challenges for developers and users to utilize and represent data through non-visual sensory channels to help them understand and interact with data. Users are able to experience data in new ways: variables from complex datasets can be conveyed through di erent senses; presentations are more accessible to people with vision impairment and can be personalized to speci c user needs; interactions can involve multiple senses to provide natural and transparent methods. All these techniques enable users to obtain a better understanding of the underlying information. While the emphasis of this chapter is towards non-visual immersive analytics, we include a discussion on how visual pre- sentations are integrated with di erent modalities, and the opportunities of mixing several sensory signals, including the visual domain.
AB - While visual cues are traditionally used for visual analytics, multimodal interaction technologies o er many new possibilities. This chapter explores the opportunities and challenges for developers and users to utilize and represent data through non-visual sensory channels to help them understand and interact with data. Users are able to experience data in new ways: variables from complex datasets can be conveyed through di erent senses; presentations are more accessible to people with vision impairment and can be personalized to speci c user needs; interactions can involve multiple senses to provide natural and transparent methods. All these techniques enable users to obtain a better understanding of the underlying information. While the emphasis of this chapter is towards non-visual immersive analytics, we include a discussion on how visual pre- sentations are integrated with di erent modalities, and the opportunities of mixing several sensory signals, including the visual domain.
KW - Virtual Reality
KW - Immersive Reality
KW - Augmented Reality
KW - Visualisation
UR - https://www.springer.com/us/book/9783030013875
M3 - Chapter
SN - 0302-9743
VL - 11190
T3 - LNCS
SP - 57
EP - 94
BT - Immersive Analytics
A2 - Marriott, Kim
A2 - Schreiber, Falk
A2 - Dwyer, Tim
A2 - Klein, Karsten
A2 - Henry Riche, Nathalie
A2 - Itoh, Takayuki
A2 - null, Wolfgang Stuerzlinger
A2 - Thomas, Bruce H.
PB - Springer Nature
CY - Switzerland
T2 - Dagstuhl seminar on Immersive Analytics
Y2 - 5 June 2016 through 10 June 2016
ER -