Anthropomorphism of computers: Is it mindful or mindless?
By Youjeong Kim, Shyam Sundar. 2012
434 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Safety Research, Human-Computer Interaction
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Y-Lan Boureau
- Gavin Abercrombie
- Verena Rieser
- Emily Dinan
- Dirk Hovy
- Shannon L. Spruit
- Jason Aaron Edward Weston
- A. S. Bergman
In Safety Research
- Gavin Abercrombie
- William S. Isaac
- Won‐yong Oh
- Iason Gabriel
- Jesse Fox
- T. Araujo
- Dirk Hovy
- Geoffrey Irving
In Human-Computer Interaction
- Jesse Fox
- Jeremy N. Bailenson
- Kristine L. Nowak
- G. Welch
- Catherine S. Oh
- Verena Rieser
- Amanda Cercas Curry
- Gavin Abercrombie
Citations in the corpus
- Ethical and social risks of harm from Language Models (2021, background): “Note that these effects do not require the user to actually believe that the chatbot is human: rather, a ‘mindless’ anthropomorphism effect takes place, whereby users respond to more human-like chatbots with more social responses even though they know that the chatbots are not human (Kim and Sundar,”
- Taxonomy of Risks posed by Language Models (2022, background): “These effects do not require the user to actually believe the CA is human rather, a ‘mindless’ anthropomorphism effect takes place whereby users respond to more human-like CAs with social responses even though they know that the CAs are not human [104].”
- SafetyKit: First Aid for Measuring Safety in Open-domain Conversational Systems (2022, background): “For example, Kim and Sundar (2012) show that users interacting with more human-like chatbots tend to attribute higher credibility to information shared by such ‘human-like’ chatbots.”
- Living up to the chatbot hype: The influence of anthropomorphic design cues and communicative agency framing on conversational agent and company perceptions (2018, methodology): “Second, while all measurement scales were derived from earlier research and had high levels of reliability, continued effort should be taken to fi nd new methods, as recommended by earlier research (Kim & Sundar, 2012), to measure social presence and anthropomorphism.”
- UvA-DARE (Digital Academic Repository) Privacy concerns in chatbot interactions (neutral): “This can be mindful, i.e. the conscious evaluation of humanness, as well as mindless, i.e. attributing human-like characteristics without realizing, such as being friendly or sociable [27].”
- Avatars and computer-mediated communication: a review of the definitions, uses, and effects of digital representations (2018, background): “Several scholars have included this qualification (e.g., Bailenson, Yee, Merget, & Schroeder, 2006; Kim & Sundar, 2012; Martey & Consalvo, 2011; Nowak & Biocca, 2003; Peña, Hancock, & Merola,2009; Schroeder, 2002; Van Der Heide et al., 2013; Webb, 2001).”
- A Systematic Review of Social Presence: Definition, Antecedents, and Implications (2018, background): “While there are a few exceptions (e.g., Qiu and Benbasat, 2005; Kim and Sundar, 2012), most of the current evidence indicates that people feel higher levels of social presence when there is a visual representation available, as can be noted in Table 1 .”
- Social Media for Socially Responsible Firms: Analysis of Fortune 500’s Twitter Profiles and their CSR/CSIR Ratings (2013, background): “(e.g., Kalyanaraman and Sundar 2006; Kim and Sundar 2012).”
- Mirages: On Anthropomorphism in Dialogue Systems (2023, background): “Research has shown that the process of anthropo-morphising is mostly mindless (Kim and Sundar, 2012): it does not reflect the user’s thoughtful belief that a computer has human characteristics, but is rather automatic and encouraged by cues in their interfaces.”