DiSalvo et al. taxonomy of four anthropomorphic design forms¶

Theory · All theories
Evidence · 2 claims (2 for) · 1 study (1 theoretical), q1 · 0 of 1 report an effect size · 2 claims rest on one study

Description¶

The review presents the DiSalvo et al. (2005, 2004) taxonomy of anthropomorphic design forms, which articulates ways designed artifacts incorporate humanlike elements: structural form imitating human bodily structure or functioning, gestural form imitating human communicative movements, character form imitating human traits or social roles, and aware form imitating "human capacities for thought, intentionality, or inquiry." Structural form most closely aligns with the review's humanlikeness construct; aware form sits near the boundary between design features and attribution processes.

Design Implications¶

Context¶

Requirements¶

• The taxonomy supports the review's broad definition of humanlikeness beyond physical appearance

Constraints¶

• Aware anthropomorphic form sits near the boundary between design features and psychological attribution and representation processes

Target Learners¶

• HRI researchers
• designers of interactive technologies

Target Learning Objectives¶

• Classifying how designed artifacts incorporate humanlike elements

Claims¶

• Different humanlike design dimensions cue distinct classes of anthropomorphism inferences [+W]
• A conceptual framework paper reports, citing a meta-analysis (Roesler et al., 2021), that anthropomorphism benefits human-robot interaction with effects varying across task contexts and design implementations [+W]

Related Theories¶

• Integrated conceptual framework distinguishing humanlikeness as design property from anthropomorphism as attribution process
• Four-quadrant inferential framework for interpreting human attribution responses to robot design
• Humanlikeness as a multidimensional design construct extending beyond physical appearance
• Six theories of anthropomorphism explaining why learners attribute human characteristics to nonhuman entities

Examples¶

• Treat humanlikeness as a tunable design parameter and anthropomorphism as an evaluation metric

Key Sources¶

• Phillips, E. K., & de Visser, E. J. (2026). Humanlikeness as design, anthropomorphism as inference: a conceptual framework for human–robot interaction. Frontiers in Cognition. https://doi.org/10.3389/fcogn.2026.1786256