Investigating cognitive workload in concurrent speech-based information communication

Fazal, MAU; Ferguson, S; Saeed, Z

Investigating cognitive workload in concurrent speech-based information communication

Fazal, MAU Ferguson, S

Saeed, Z

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Publisher:: Elsevier BV
Publication Type:: Journal Article
Citation:: International Journal of Human Computer Studies, 2022, 157, pp. 102728
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Fazal, MAU
dc.contributor.author	Ferguson, S https://orcid.org/0000-0003-1853-3000
dc.contributor.author	Saeed, Z
dc.date.accessioned	2022-04-14T01:28:53Z
dc.date.available	2022-04-14T01:28:53Z
dc.date.issued	2022-01-01
dc.identifier.citation	International Journal of Human Computer Studies, 2022, 157, pp. 102728
dc.identifier.issn	1071-5819
dc.identifier.issn	1095-9300
dc.identifier.uri	http://hdl.handle.net/10453/156238
dc.description.abstract	Users are capable of noticing, listening, and comprehending concurrent information simultaneously, but in conventional speech-based interaction methods, systems communicate information sequentially to the users. This mismatch implies that the sequential approach may be under-utilising human perception capabilities and restricting users to seek information to sub-optimal levels. This paper reports on an experiment that investigates the cognitive workload experienced by the users when listening to a variety of combinations of information types in concurrent formats. Fifteen different combinations of concurrent information streams were investigated, and the subjective listening workload for each of the combination was measured using NASA-TLX. The results showed that the perceived workload index score varies in all concurrent combinations. The workload index score depends on the types and the amount of information presented to users. The perceived workload index score in concurrent listening remained the highest in Monolog with Interview (three concurrent talkers) combination, medium in Monolog with News Headlines (two talkers where one is intermittent) combination, and the lowest in Monolog with Music (one talker and a concurrent music stream) combination. Users descriptive feedback remained aligned with the NASA-TLX-based results. It is expected that the results of this experiment will contribute to helping digital content creators and interaction designers to communicate information more efficiently to users.
dc.language	en
dc.publisher	Elsevier BV
dc.relation.ispartof	International Journal of Human Computer Studies
dc.relation.isbasedon	10.1016/j.ijhcs.2021.102728
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	0806 Information Systems, 1702 Cognitive Sciences
dc.subject.classification	Human Factors
dc.title	Investigating cognitive workload in concurrent speech-based information communication
dc.type	Journal Article
utslib.citation.volume	157
utslib.for	0806 Information Systems
utslib.for	1702 Cognitive Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - HCTD - Human Centred Technology Design
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2023-10-01T00:00:00+1000Z
dc.date.updated	2022-04-14T01:28:52Z
pubs.publication-status	Published
pubs.volume	157

Abstract:

Users are capable of noticing, listening, and comprehending concurrent information simultaneously, but in conventional speech-based interaction methods, systems communicate information sequentially to the users. This mismatch implies that the sequential approach may be under-utilising human perception capabilities and restricting users to seek information to sub-optimal levels. This paper reports on an experiment that investigates the cognitive workload experienced by the users when listening to a variety of combinations of information types in concurrent formats. Fifteen different combinations of concurrent information streams were investigated, and the subjective listening workload for each of the combination was measured using NASA-TLX. The results showed that the perceived workload index score varies in all concurrent combinations. The workload index score depends on the types and the amount of information presented to users. The perceived workload index score in concurrent listening remained the highest in Monolog with Interview (three concurrent talkers) combination, medium in Monolog with News Headlines (two talkers where one is intermittent) combination, and the lowest in Monolog with Music (one talker and a concurrent music stream) combination. Users descriptive feedback remained aligned with the NASA-TLX-based results. It is expected that the results of this experiment will contribute to helping digital content creators and interaction designers to communicate information more efficiently to users.

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http://hdl.handle.net/10453/156238