The Space Between
Nature and Machine Heuristics in Evaluations of Organisms, Cyborgs, and Robots
Bibliographic Data
| ID | 22004355 |
|---|---|
| Authors | Jaime Banks (0000-0002-7598-4337, Texas Tech University, corresponding author), Autumn Edwards (0000-0002-5963-197X, Western Michigan University), Autumn P Edwards (Western Michigan University), David Westerman (0000-0001-9550-0304, North Dakota State University) |
| Year | 2021 |
| Volume | 24 |
| Issue | 5 |
| Pages | 324-331 |
| Publication date | 2021-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Cyberpsychology Behavior and Social Networking (JOURNAL) |
| Journal identifiers | ISSN: 2152-2715 • E-ISSN: 2152-2723 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1089/cyber.2020.0165 |
| PMID | 33416419 |
| OpenAlex | W3118531461 |
| Language | EN |
| Citations received | 18 |
| References cited | 37 |
Cues delivered by agents are known to trigger mental shortcuts associated with ontological category or the kind of thing an agent is. Two such heuristics are key to considering organic and machine agents, and result in biased evaluations: the machine heuristic (MH) (if machine, then systematic/unbiased, therefore its products are good) and the nature heuristic (NH) (if natural, then pure/innate, therefore good). As machine agents such as robots are increasingly integrated into human spheres, it is yet unknown (a) if invocation of agent-cued heuristics is inherently tied to activities and (b) whether either/both heuristics are evoked when agents exhibit both organic and machinic properties (as with cyborgs). To investigate these open questions, a 3 × 2 experiment tasked individuals with considering a magazine article about an agent (organism, cyborg, robot) performing behaviors (natural, technical) to solve a widespread problem, and then evaluating the agent and its solution for markers of machine and NHs. Findings indicate that the NH may be dominant over the MH; however, this primacy may be driven by operational contexts. Post hoc analysis suggests that agent category grounds interpretations of agent behaviors that, in turn, drive biased evaluations of behavioral outcomes
Cognitive science · Computer security · Heuristic · Heuristics · Human–computer interaction · Robot · Computer Science · Ethics and Social Impacts of AI · Evolutionary Psychology and Human Behavior · Psychology · Psychology of Moral and Emotional Judgment · Artificial Intelligence
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| Unique citing works | 18 |
|---|---|
| Citations per year | 3,6 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 18 |