What Do We See in Them? Identifying Dimensions of Partner Models for Speech Interfaces Using a Psycholexical Approach
Philip R. Doyle, Leigh Clark, Benjamin R. Cowan
Abstract
Perceptions of system competence and communicative ability, termed partner models, play a significant role in speech interface interaction. Yet we do not know what the core dimensions of this concept are. Taking a psycholexical approach, our paper is the first to identify the key dimensions that define partner models in speech agent interaction. Through a repertory grid study (N=21), a review of key subjective questionnaires, an expert review of resulting word pairs and an online study of 356 users of speech interfaces, we identify three key dimensions that make up a users’ partner model: 1) perceptions towards partner competence and dependability; 2) assessment of human-likeness; and 3) a system’s perceived cognitive flexibility. We discuss the implications for partner modelling as a concept, emphasising the importance of salience and the dynamic nature of these perceptions.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext a1586d67-5bb5-4953-9bd0-41d5fe40c2a4Cited by top-tier papers4
- The Last Decade of HCI Research on Children and Voice-based Conversational AgentsRadhika Garg, Hua Cui, Spencer Seligson, Bo Zhang et al.CHI 2022 · 71 citations
- Listening to the Voices: Describing Ethical Caveats of Conversational User Interfaces According to Experts and Frequent UsersThomas Mildner, Orla Cooney, Anna-Maria Meck, Marion Bartl et al.CHI 2024 · 37 citations
- User Perceptions of Extraversion in Chatbots after Repeated UseSarah Theres Völkel, Ramona Schödel, Lale Kaya, Sven MayerCHI 2022 · 37 citations
- Super Kawaii Vocalics: Amplifying the "Cute" Factor in Computer VoiceYuto Mandai, Katie Seaborn, Tomoyasu Nakano, Xin Sun et al.CHI 2025 · 9 citations
Builds on1
Related papers
- Genie in the Bottle: Anthropomorphized Perceptions of Conversational AgentsAnastasia Kuzminykh, Jenny Sun, Nivetha Govindaraju, Jeff Avery et al.CHI 2020 · 41 citations
- Help me and I'll help you: Speakers' and listeners' collaborative effort and the division of labour in human-agent collaborative communicationPaola Raquel Peña, Benjamin R. CowanCHI 2026 · 1 citation
- Human or Machine? A Preliminary Turing Test for Speech-to-Speech InteractionXiang Li, Jiabao Gao, Sipei Lin, Xuan Zhou et al.ICLR 2026 · 1 citation
- Human-AI Collaboration in a Cooperative Game Setting: Measuring Social Perception and OutcomesZahra Ashktorab, Q. Vera Liao, Casey Dugan, James Johnson et al.CSCW 2020 · 79 citations
- Mental Models of AI Agents in a Cooperative Game SettingKaty Ilonka Gero, Zahra Ashktorab, Casey Dugan, Qian Pan et al.CHI 2020 · 116 citations
