A Review of Personality in Human Robot Interactions

January 31, 2020 · The Cartographer · 🏛 arXiv.org

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"Title-pattern auto-detect: A Review of Personality in Human Robot Interactions"

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Authors Lionel P. Robert, Rasha Alahmad, Connor Esterwood, Sangmi Kim, Sangseok You, Qiaoning Zhang arXiv ID 2001.11777 Category cs.HC: Human-Computer Interaction Cross-listed cs.AI, cs.CY, cs.RO Citations 104 Venue arXiv.org Last Checked 8 days ago

Abstract

Personality has been identified as a vital factor in understanding the quality of human robot interactions. Despite this the research in this area remains fragmented and lacks a coherent framework. This makes it difficult to understand what we know and identify what we do not. As a result our knowledge of personality in human robot interactions has not kept pace with the deployment of robots in organizations or in our broader society. To address this shortcoming, this paper reviews 83 articles and 84 separate studies to assess the current state of human robot personality research. This review: (1) highlights major thematic research areas, (2) identifies gaps in the literature, (3) derives and presents major conclusions from the literature and (4) offers guidance for future research.