Interfaces for Discourse Summarisation: A Human Factors Analysis

Agata McCormac; Kathryn Parsons; Marcus Butavicius; Aaron Ceglar; Derek Weber; Tim Pattison; Richard Leibbrandt; Kenneth Treharne; David Powers

doi:10.1145/2541016.2541069

Interfaces for Discourse Summarisation: A Human Factors Analysis

Agata McCormac, Kathryn Parsons, Marcus Butavicius, Aaron Ceglar, Derek Weber, Tim Pattison, Richard Leibbrandt, Kenneth Treharne, David Powers

Research output: Contribution to conference › Paper › peer-review

1 Citation (Scopus)

Abstract

Empirical studies assessing the effectiveness of novel document interfaces are becoming more prevalent, however relatively little attention has been paid to how such tools could work with less structured documents featuring multiple contributors. Participants in this study used different interfaces to answer questions requiring the exploration of collaborative discourse. User performance was influenced by an interaction of interface, transcript, and question type. Individual differences also impacted on performance with higher education levels and higher general knowledge scores being associated with better task performance. The results also revealed that unnecessary interface functionality can hinder performance.

Original language	English
Pages	139-142
Number of pages	4
DOIs	https://doi.org/10.1145/2541016.2541069
Publication status	Published - 1 Jan 2013
Event	25th Australian Computer-Human Interaction Conference - Duration: 25 Nov 2013 → …

Conference

Conference	25th Australian Computer-Human Interaction Conference
Period	25/11/13 → …

Keywords

Empirical Study
Human Computer Interaction
Human Factors

Access to Document

10.1145/2541016.2541069

Cite this

@conference{a35c5a88adcd4d40a4a589676ecd604b,

title = "Interfaces for Discourse Summarisation: A Human Factors Analysis",

abstract = "Empirical studies assessing the effectiveness of novel document interfaces are becoming more prevalent, however relatively little attention has been paid to how such tools could work with less structured documents featuring multiple contributors. Participants in this study used different interfaces to answer questions requiring the exploration of collaborative discourse. User performance was influenced by an interaction of interface, transcript, and question type. Individual differences also impacted on performance with higher education levels and higher general knowledge scores being associated with better task performance. The results also revealed that unnecessary interface functionality can hinder performance.",

keywords = "Empirical Study, Human Computer Interaction, Human Factors",

author = "Agata McCormac and Kathryn Parsons and Marcus Butavicius and Aaron Ceglar and Derek Weber and Tim Pattison and Richard Leibbrandt and Kenneth Treharne and David Powers",

year = "2013",

month = jan,

day = "1",

doi = "10.1145/2541016.2541069",

language = "English",

pages = "139--142",

note = "25th Australian Computer-Human Interaction Conference ; Conference date: 25-11-2013",

}

Interfaces for Discourse Summarisation: A Human Factors Analysis. / McCormac, Agata; Parsons, Kathryn; Butavicius, Marcus; Ceglar, Aaron; Weber, Derek; Pattison, Tim; Leibbrandt, Richard; Treharne, Kenneth; Powers, David.

2013. 139-142 Paper presented at 25th Australian Computer-Human Interaction Conference.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Interfaces for Discourse Summarisation: A Human Factors Analysis

AU - McCormac, Agata

AU - Parsons, Kathryn

AU - Butavicius, Marcus

AU - Ceglar, Aaron

AU - Weber, Derek

AU - Pattison, Tim

AU - Leibbrandt, Richard

AU - Treharne, Kenneth

AU - Powers, David

PY - 2013/1/1

Y1 - 2013/1/1

N2 - Empirical studies assessing the effectiveness of novel document interfaces are becoming more prevalent, however relatively little attention has been paid to how such tools could work with less structured documents featuring multiple contributors. Participants in this study used different interfaces to answer questions requiring the exploration of collaborative discourse. User performance was influenced by an interaction of interface, transcript, and question type. Individual differences also impacted on performance with higher education levels and higher general knowledge scores being associated with better task performance. The results also revealed that unnecessary interface functionality can hinder performance.

AB - Empirical studies assessing the effectiveness of novel document interfaces are becoming more prevalent, however relatively little attention has been paid to how such tools could work with less structured documents featuring multiple contributors. Participants in this study used different interfaces to answer questions requiring the exploration of collaborative discourse. User performance was influenced by an interaction of interface, transcript, and question type. Individual differences also impacted on performance with higher education levels and higher general knowledge scores being associated with better task performance. The results also revealed that unnecessary interface functionality can hinder performance.

KW - Empirical Study

KW - Human Computer Interaction

KW - Human Factors

UR - http://www.scopus.com/inward/record.url?scp=84893290237&partnerID=8YFLogxK

U2 - 10.1145/2541016.2541069

DO - 10.1145/2541016.2541069

M3 - Paper

SP - 139

EP - 142

T2 - 25th Australian Computer-Human Interaction Conference

Y2 - 25 November 2013

ER -

Interfaces for Discourse Summarisation: A Human Factors Analysis

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this