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Data · dataset · 2026

Examining the relationship between therapists' communication and common factors in psychotherapy

Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.17034/32641680.v1

Description

Background

Empathy is considered a significant factor in facilitating client improvements and has been found to be closely related to therapeutic alliance. There is currently a lack of research examining the behavioural markers of empathy. Active listening has been identified as an important factor in demonstrating empathy.

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Non-verbal active listening communication, otherwise known as backchannels, can be communicated through non-lexical items, for example “ah” and “hmm”, as well as encouraging gestures such as smiling or head nods. The study of behaviour in social interactions is a resource intensive process but affective computing (the study or mimicry of human emotion using computing techniques) may be able to alleviate this burden. <br><br>

Method

Non-verbal active listening behaviours displayed in therapeutic roleplay recordings were annotated by hand and using affective computing software. Valence and arousal were also analysed using affective computing software. Observers provided continuous ratings of empathy for each roleplay.

T-tests and linear mixed effects models were employed to analyse the difference in empathy ratings and levels of arousal and valence, in the therapist speaking versus listening periods.<br><br>Results: Head nods and non-lexical backchannels were the main non-verbal active listening behaviours identified. Observer ratings of empathy were significantly higher in the speaking periods. Analyses of arousal and valence levels demonstrated that therapists displayed lower levels of arousal and moderately more negative valence when listening compared to speaking.<br><br>Discussion: Findings support the application of affective computing techniques in the analysis of social interaction.

Potential implications, limitations and recommendations for future research are discussed.<br><br>Keywords: Empathy, active listening, affective computing<br><br><i>Thesis is embargo 31 December 2026.</i><br>

Links

Where it is published

Catalogue records · 1

Topics

Provenance · 3 source records, 11 field assertions
SourceKeyLast seenRaw
ZivaHuboai:figshare.com:article/326416807 d agoJSON v1
Deakin Research Onlineoai:figshare.com:article/326416807 d agoJSON v1
DMU Figshareoai:figshare.com:article/326416807 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
concepts[field].anzsrc:field:460802mapping · figshare dmu ac ukvocabulary-mapper@1.0.0keywords['affective computing']
concepts[field].anzsrc:field:460802mapping · dro deakin edu auvocabulary-mapper@1.0.0keywords['affective computing']
concepts[field].anzsrc:field:460802mapping · zivahub uct ac zavocabulary-mapper@1.0.0keywords['affective computing']
concepts[field].local:field:earth-environmentalmapping · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
concepts[field].local:field:earth-environmentalmapping · dro deakin edu auconnector:dro_deakin_edu_au@1.0.0
concepts[field].local:field:earth-environmentalmapping · figshare dmu ac ukconnector:figshare_dmu_ac_uk@1.0.0
descriptionsource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0/metadata/dc/description
license_textsource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
publication_datesource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
titlesource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0/metadata/dc/title