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What Do We See in Them? Identifying Dimensions of Partner Models for Speech Interfaces Using a Psycholexical Approach

arXiv 2102.02094 ↗First posted 3 Feb 2021cs.HC cs.AIcited by 3

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Abstract (arXiv)

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 user of speech interfaces, we identify three key dimensions that make up a users' partner model: 1) perceptions toward competence and capability; 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.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 6 of its 139 references that are in the map. First posted on arXiv 3 Feb 2021.

Builds on

6 of 139 references.

References · 6

  1. 2018Expressive Speech Synthesis via Modeling Expressions with Variational Autoencodercited by 22
  2. 2018The State of Speech in HCI: Trends, Themes and Challengescited by 21
  3. 2019Mapping Perceptions of Humanness in Speech-Based Intelligent Personal Assistant Interactioncited by 10
  4. 2020Developing a Personality Model for Speech-based Conversational Agents Using the Psycholexical Approachcited by 8
  5. 2016Is spoken language all-or-nothing? Implications for future speech-based human-machine interactioncited by 4
  6. 2019What's in an accent? The impact of accented synthetic speech on lexical choice in human-machine dialoguecited by 4

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Citing papers per year: 2021: 1; 2022: 0; 2023: 0; 2024: 0; 2025: 2.

3 papers.