Anthropomorphism: Opportunities and Challenges in Human–Robot Interaction

By Jakub Złotowski, Diane Proudfoot, Kumar Yogeeswaran, Christoph Bartneck. 2014

490 citations recorded by the source corpus.

Subfields: Safety Research, Social Psychology, Natural Language Processing, Human-Computer Interaction, Robotics & Control

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Safety Research

1. William S. Isaac
2. Iason Gabriel
3. Geoffrey Irving
4. Myra Cheng
5. T. Stepleton
6. Zachary Kenton
7. Atoosa Kasirzadeh
8. Laura Weidinger

In Social Psychology

1. Iason Gabriel
2. Geoffrey Irving
3. Zachary Kenton
4. Laura Weidinger
5. Abeba Birhane

In Natural Language Processing

1. Iason Gabriel
2. John F. J. Mellor
3. Borja Balle
4. Geoffrey Irving
5. Myra Cheng
6. Lisa Anne Hendricks
7. Po-Sen Huang
8. Jay Kandampully

In Human-Computer Interaction

1. William S. Isaac
2. Borja Balle
3. Po-Sen Huang
4. Abeba Birhane

In Robotics & Control

1. T. Stepleton
2. Atoosa Kasirzadeh

Citations in the corpus

• Ethical and social risks of harm from Language Models (2021, background): “The more human-like a system appears, the more likely it is that users infer or attribute more human traits and capabilities to that system (Breazeal and Scassellati, 2000; McKee et al., 2021; Złotowski et al., 2015).”
• Frontline Service Technology infusion: conceptual archetypes and future research directions (2019, background): “This idea builds on the premise that customers and FLEs can more easily relate to human-like forms (Z ł otowski et al. , 2015).”