Adaptive timeline interface to personal history data

Antti Ajanki; Markus Koskela; Jorma Laaksonen; Samuel Kaski

doi:10.1145/2522848.2522870

Adaptive timeline interface to personal history data

Antti Ajanki, Markus Koskela, Jorma Laaksonen, Samuel Kaski

University of Helsinki

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

2 Sitaatiot (Scopus)

Abstrakti

As the growth of stored personal digital information, such as photographs and emails, is continuously increasing, new tools for browsing and searching are needed. We introduce an intelligent mobile information access tool for personal data. The data are presented in an adaptive timeline where the displayed items function as search cues. The novelty is that the visualization is dynamically changed to emphasize relevant items, which makes them easier to recognize and select. The relevance is inferred during usage of the system from user feedback. In a user study, the dynamic timeline-based interface on a mobile device was shown to require less effort than conventional textual search.

Alkuperäiskieli	Englanti
Otsikko	ICMI 2013 - Proceedings of the 2013 ACM International Conference on Multimodal Interaction
Kustantaja	ACM
Sivut	229-236
Sivumäärä	8
ISBN (painettu)	9781450321297
DOI - pysyväislinkit	https://doi.org/10.1145/2522848.2522870
Tila	Julkaistu - 2013
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	International Conference on Multimodal Interaction - Sydney, Austraalia Kesto: 9 jouluk. 2013 → 13 jouluk. 2013 Konferenssinumero: 15

Conference

Conference	International Conference on Multimodal Interaction
Lyhennettä	ICMI
Maa/Alue	Austraalia
Kaupunki	Sydney
Ajanjakso	09/12/2013 → 13/12/2013

Pääsy asiakirjaan

10.1145/2522848.2522870

Muut tiedostot ja linkit

Link to publication in Scopus

Siteeraa tätä

@inproceedings{6acb5b1b702740c9b1d8bf2ed11940bd,

title = "Adaptive timeline interface to personal history data",

abstract = "As the growth of stored personal digital information, such as photographs and emails, is continuously increasing, new tools for browsing and searching are needed. We introduce an intelligent mobile information access tool for personal data. The data are presented in an adaptive timeline where the displayed items function as search cues. The novelty is that the visualization is dynamically changed to emphasize relevant items, which makes them easier to recognize and select. The relevance is inferred during usage of the system from user feedback. In a user study, the dynamic timeline-based interface on a mobile device was shown to require less effort than conventional textual search.",

keywords = "human-computer interfaces, information retrieval, intelligent systems, machine learning, mobile applications, relevance feedback",

author = "Antti Ajanki and Markus Koskela and Jorma Laaksonen and Samuel Kaski",

year = "2013",

doi = "10.1145/2522848.2522870",

language = "English",

isbn = "9781450321297",

pages = "229--236",

booktitle = "ICMI 2013 - Proceedings of the 2013 ACM International Conference on Multimodal Interaction",

publisher = "ACM",

address = "United States",

note = "International Conference on Multimodal Interaction, ICMI ; Conference date: 09-12-2013 Through 13-12-2013",

}

Ajanki, A, Koskela, M, Laaksonen, J & Kaski, S 2013, Adaptive timeline interface to personal history data. julkaisussa ICMI 2013 - Proceedings of the 2013 ACM International Conference on Multimodal Interaction. ACM, Sivut 229-236, International Conference on Multimodal Interaction, Sydney, New South Wales, Austraalia, 09/12/2013. https://doi.org/10.1145/2522848.2522870

TY - GEN

T1 - Adaptive timeline interface to personal history data

AU - Ajanki, Antti

AU - Koskela, Markus

AU - Laaksonen, Jorma

AU - Kaski, Samuel

N1 - Conference code: 15

PY - 2013

Y1 - 2013

N2 - As the growth of stored personal digital information, such as photographs and emails, is continuously increasing, new tools for browsing and searching are needed. We introduce an intelligent mobile information access tool for personal data. The data are presented in an adaptive timeline where the displayed items function as search cues. The novelty is that the visualization is dynamically changed to emphasize relevant items, which makes them easier to recognize and select. The relevance is inferred during usage of the system from user feedback. In a user study, the dynamic timeline-based interface on a mobile device was shown to require less effort than conventional textual search.

AB - As the growth of stored personal digital information, such as photographs and emails, is continuously increasing, new tools for browsing and searching are needed. We introduce an intelligent mobile information access tool for personal data. The data are presented in an adaptive timeline where the displayed items function as search cues. The novelty is that the visualization is dynamically changed to emphasize relevant items, which makes them easier to recognize and select. The relevance is inferred during usage of the system from user feedback. In a user study, the dynamic timeline-based interface on a mobile device was shown to require less effort than conventional textual search.

KW - human-computer interfaces

KW - information retrieval

KW - intelligent systems

KW - machine learning

KW - mobile applications

KW - relevance feedback

UR - http://www.scopus.com/inward/record.url?scp=84892584294&partnerID=8YFLogxK

U2 - 10.1145/2522848.2522870

DO - 10.1145/2522848.2522870

M3 - Conference article in proceedings

AN - SCOPUS:84892584294

SN - 9781450321297

SP - 229

EP - 236

BT - ICMI 2013 - Proceedings of the 2013 ACM International Conference on Multimodal Interaction

PB - ACM

T2 - International Conference on Multimodal Interaction

Y2 - 9 December 2013 through 13 December 2013

ER -

Adaptive timeline interface to personal history data

Abstrakti

Conference

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