Machine heuristic
Concept explication and development of a measurement scale
Bibliographic Data
| ID | 12449377 |
|---|---|
| Authors | Hyun Yang (0000-0003-1225-3892, Donald P. Bellisario College of Communications, The Pennsylvania State University , University Park, corresponding author), Sundar (0000-0002-5779-8864, Donald P. Bellisario College of Communications, The Pennsylvania State University , University Park) |
| Editors | Adam N Joinson (0000-0001-7019-7038) |
| Year | 2024 |
| Volume | 29 |
| Issue | 6 |
| Publication date | 2024-09-25 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Computer-Mediated Communication (JOURNAL) |
| Journal identifiers | ISSN: 1083-6101 • E-ISSN: 1083-6101 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1093/jcmc/zmae019 |
| OpenAlex | W4402825130 |
| Language | EN |
| Citations received | 30 |
| References cited | 74 |
Human assumption of superior performance by machines has a long history, resulting in the concept of “machine heuristic” (MH), which is a mental shortcut that individuals apply to automated systems. This article provides a formal explication of this concept and develops a new scale based on three studies (Combined N = 1129). Measurement items were derived from the explication and an open-ended survey (Study 1, N = 270). These were then administered in a closed-ended survey (Study 2, N = 448) to identify their dimensionality through exploratory factor analysis (EFA). Lastly, we conducted another survey (Study 3, N = 411) to verify the factor structure obtained in Study 2 by employing confirmatory factor analysis (CFA). Analyses resulted in a validated scale of seven items that reflect the level of MH in individuals and identified six sets of descriptive labels for machines (expert, efficient, rigid, superfluous, fair, and complex) that serve as formative indicators of MH. Theoretical and practical implications are discussed
Cartography · Development (topology · Epistemology · Explication · Geography · Heuristic · Scale (ratio · AI in Service Interactions · Computer Science · Flexible and Reconfigurable Manufacturing Systems · Mathematics · Robot Manipulation and Learning · Artificial Intelligence · Philosophy
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| Unique citing works | 30 |
|---|---|
| Citations per year | 15 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 30 |