Investigating the Usability of Voice Assistant-Based CBT for Age-Related Depression.

Research output: Contribution to book/Conference proceedings/Anthology/ReportChapter in book/Anthology/ReportContributedpeer-review

Contributors

Abstract

To combat the global shortage of mental health services, new solutions - such as computerized therapy options - have to be found. While research in this field has been ongoing for several decades and approaches such as chatbot-based cognitive behavioral therapy (CBT) have already shown to be effective in reducing symptoms of depression for younger adults, voice assistant-based (VA-based) approaches have thus far not been investigated deeply. However, especially for elderly people with depression VA-based systems could yield benefits - such as the avoidance of physical accessibility issues. Therefore, we propose the design of a VA-based system capable of delivering selected methods from CBT to elderly users with depression in order to investigate its usability. To assess the usability of the conceptualized system in comparison to a chatbot-based approach we conducted a randomized controlled A/B testing experiment with 14 participants. Results indicate a good usability and acceptance of the designed system and a preference for the delivery of CBT-methods via voice assistant rather than via chatbot, especially among elderly participants.

Details

Original languageEnglish
Title of host publicationComputers Helping People with Special Needs - 18th International Conference, ICCHP-AAATE 2022, Proceedings
EditorsKlaus Miesenberger, Georgios Kouroupetroglou, Katerina Mavrou, Roberto Manduchi, Mario Covarrubias Rodriguez, Petr Penáz
PublisherSpringer, Cham
Pages432-441
Number of pages10
ISBN (print)9783031086472
Publication statusPublished - 1 Jan 2022
Peer-reviewedYes

External IDs

Scopus 85134356880
unpaywall 10.1007/978-3-031-08648-9_50
Mendeley 9db9308b-312b-39e8-a6a4-4ea7c85be697
WOS 000874455200050
ORCID /0000-0002-1890-4281/work/141544922

Keywords

Sustainable Development Goals

Keywords

  • Affective disorders, Cognitive behavioral therapy, Conversational agents, Depression, Human-computer interaction, Speech, Usability, Voice assistants, Voice interaction