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

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

2 Citations (Scopus)

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.

Original language	English
Title of host publication	ICMI 2013 - Proceedings of the 2013 ACM International Conference on Multimodal Interaction
Publisher	ACM
Pages	229-236
Number of pages	8
ISBN (Print)	9781450321297
DOIs	https://doi.org/10.1145/2522848.2522870
Publication status	Published - 2013
MoE publication type	A4 Conference publication
Event	International Conference on Multimodal Interaction - Sydney, Australia Duration: 9 Dec 2013 → 13 Dec 2013 Conference number: 15

Conference

Conference	International Conference on Multimodal Interaction
Abbreviated title	ICMI
Country/Territory	Australia
City	Sydney
Period	09/12/2013 → 13/12/2013

Keywords

human-computer interfaces
information retrieval
intelligent systems
machine learning
mobile applications
relevance feedback

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10.1145/2522848.2522870

Cite this

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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.",

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

year = "2013",

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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",

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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

Abstract

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Keywords

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