Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Designing Multi-Modal Conversational Agents for the Kitchen with Older Adults: A Participatory Design Study
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.ORCID iD: 0000-0001-6649-1242
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2023 (English)In: International Journal of Social Robotics, ISSN 1875-4791, E-ISSN 1875-4805, no 15, p. 1507-1523Article in journal (Refereed) Published
Abstract [en]

Conversational agents (CA) are increasingly used to manage and coordinate household chores and everyday activities at home. However, these technologies should be adaptive to age-specific characteristics in order to be considered beneficial for the ageing population. This study presents a participatory design of a conversational agent to provide cognitive support in recipe following and nutrition advice for adults aged 65 and over. Through a qualitative thematic analysis, the study explores older adults' expectations, interactions and experiences with the agent in order to identify age-specific challenges of interacting with CAs. Data consists of a participatory design workshop with eight older adults (aged 65 and over), followed by a Wizard of Oz study with ten older adults interacting with the agent in the kitchen environment in a laboratory setting. Results demonstrate that older adults consider conversational agents as beneficial for providing personalised recipe recommendations, advising the user to choose appropriate ingredients and reminding them of their dietary intake. When interacting with the agent older adults displayed challenges with confirmation and repetition, questioning and correcting, the lack of conversational responses, and difficulties in hearing and understanding the multi-modal interaction. Older adults experience agents as collaborators, but not as conversational partners. The study concludes that the accessibility and inclusiveness of conversational agents regarding voice interaction could be improved by further developing participatory methods with older adults.

Place, publisher, year, edition, pages
2023. no 15, p. 1507-1523
Keywords [en]
Conversational agents, Older adults, Kitchen technologies, Voice interaction, Gaze
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:su:diva-222234DOI: 10.1007/s12369-023-01055-4ISI: 001070836100001Scopus ID: 2-s2.0-85172143654OAI: oai:DiVA.org:su-222234DiVA, id: diva2:1804183
Available from: 2023-10-11 Created: 2023-10-11 Last updated: 2023-11-29Bibliographically approved
In thesis
1. Towards Designing Better Speech Agent Interaction: Using Eye Gaze for Interaction
Open this publication in new window or tab >>Towards Designing Better Speech Agent Interaction: Using Eye Gaze for Interaction
2023 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This research is about addressing the need to better understand interaction with conversational user interfaces (CUIs) and how human-technology `conversations' can be improved by drawing on the lessons learned from human-human interaction. It focuses on incorporating abstractions of complex human behaviour, specifically gaze, to enhance interactions with speech agents in conversations. Across four empirical studies, a mix of methods is used to look closely at the interaction between the user and the system.

I offer empirical and conceptual contributions for interaction designers and researchers. First, I present a novel speech interface, Tama, which is a gaze-aware speech agent designed to explore the use of gaze in conversational interactions with smart speakers. Second, I present the empirical contributions, that is, the studies that document the interactions with and around speech interfaces, including ongoing, non-system-directed speech. A moment-by-moment analysis of these interactions highlights the opportunities that the gaze offers as a modality to enhance the interaction with the speech agent, as well as the problems and limitations when such a modality is used. The third contribution is a conceptual contribution made by providing perspective on minimal anthropomorphic design. This produces interactions that are not human-like in terms of behaviour but do take advantage of the skills used in human interaction as a key to advancing interactions with speech agents.

Based on my research work and contributions, I reflect upon advancing interactions with speech interfaces, focusing on what different technologies can offer and the possibility of taking the next step in designing CUIs. I then discuss the need to bridge the work of different fields (i.e. conversation analysis (CA), human-computer interaction (HCI), and human-robot interaction (HRI)) to combine models and approaches from all these fields in order to guide designers building speech systems. I see three competing yet complementary interaction paradigms across CUIs. I call these paradigms Direct Speech Interaction, Agent-Mediated Interaction, and Para-Speech Interaction. Each of these paradigms has specific challenges and opportunities for interaction. 

Place, publisher, year, edition, pages
Stockholm: Department of Computer and Systems Sciences, Stockholm University, 2023. p. 105
Series
Report Series / Department of Computer & Systems Sciences, ISSN 1101-8526 ; 24-001
Keywords
Human-computer interaction, Conversational User Interfaces, Smart Speaker, Gaze Interaction, User Studies, Interaction Design, Gaze Detection, Agent Interaction, Wizard-of-Oz
National Category
Robotics and automation Computer and Information Sciences Other Engineering and Technologies
Research subject
Computer and Systems Sciences
Identifiers
urn:nbn:se:su:diva-224035 (URN)978-91-8014-599-2 (ISBN)978-91-8014-600-5 (ISBN)
Public defence
2024-01-12, Lilla Hörsalen, NOD-huset, Borgarfjordsgatan 12, Stockholm, 13:00 (English)
Opponent
Supervisors
Available from: 2023-12-20 Created: 2023-11-29 Last updated: 2025-02-18Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Jaberibraheem, RazanMcMillan, Donald

Search in DiVA

By author/editor
Jaberibraheem, RazanMcMillan, Donald
By organisation
Department of Computer and Systems Sciences
In the same journal
International Journal of Social Robotics
Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 117 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf