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Multisensory Immersive Analytics

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Standard Standard

Multisensory Immersive Analytics. / McCormack, Jon; Roberts, Jonathan C.; Bach, Benjamin et al.
Immersive Analytics. ed. / Kim Marriott; Falk Schreiber; Tim Dwyer; Karsten Klein; Nathalie Henry Riche; Takayuki Itoh; Wolfgang Stuerzlinger; Bruce H. Thomas. Vol. 11190 1. ed. Switzerland: Springer Nature, 2018. p. 57-94 (LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

HarvardHarvard

McCormack, J, Roberts, JC, Bach, B, Freitas, CDS, Itoh, T, Hurter, C & Marriott, K 2018, Multisensory Immersive Analytics. in K Marriott, F Schreiber, T Dwyer, K Klein, N Henry Riche, T Itoh, WS & BH Thomas (eds), Immersive Analytics. 1 edn, vol. 11190, LNCS, Springer Nature, Switzerland, pp. 57-94, Dagstuhl seminar on Immersive Analytics, Dagstuhl, Germany, 5/06/16.

APA

McCormack, J., Roberts, J. C., Bach, B., Freitas, C. D. S., Itoh, T., Hurter, C., & Marriott, K. (2018). Multisensory Immersive Analytics. In K. Marriott, F. Schreiber, T. Dwyer, K. Klein, N. Henry Riche, T. Itoh, W. S., & B. H. Thomas (Eds.), Immersive Analytics (1 ed., Vol. 11190, pp. 57-94). (LNCS). Springer Nature.

CBE

McCormack J, Roberts JC, Bach B, Freitas CDS, Itoh T, Hurter C, Marriott K. 2018. Multisensory Immersive Analytics. Marriott K, Schreiber F, Dwyer T, Klein K, Henry Riche N, Itoh T, WS, Thomas BH, editors. In Immersive Analytics. 1 ed. Switzerland: Springer Nature. pp. 57-94. (LNCS).

MLA

McCormack, Jon et al. "Multisensory Immersive Analytics"., Marriott, Kim, Schreiber, Falk, Dwyer, Tim and Klein, Karsten Henry Riche, Nathalie Itoh, Takayuki Wolfgang Stuerzlinger Thomas, Bruce H. (editors). Immersive Analytics. 1 udg., Chapter 3, LNCS. Switzerland: Springer Nature. 2018, 57-94.

VancouverVancouver

McCormack J, Roberts JC, Bach B, Freitas CDS, Itoh T, Hurter C et al. Multisensory Immersive Analytics. In Marriott K, Schreiber F, Dwyer T, Klein K, Henry Riche N, Itoh T, WS, Thomas BH, editors, Immersive Analytics. 1 ed. Vol. 11190. Switzerland: Springer Nature. 2018. p. 57-94. (LNCS).

Author

McCormack, Jon ; Roberts, Jonathan C. ; Bach, Benjamin et al. / Multisensory Immersive Analytics. Immersive Analytics. editor / Kim Marriott ; Falk Schreiber ; Tim Dwyer ; Karsten Klein ; Nathalie Henry Riche ; Takayuki Itoh ; Wolfgang Stuerzlinger ; Bruce H. Thomas. Vol. 11190 1. ed. Switzerland : Springer Nature, 2018. pp. 57-94 (LNCS).

RIS

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 -