All robots are not created equal: the design and perception of humanoid robot heads
By Carl F. DiSalvo, Francine Gemperle, Jodi L. Forlizzi, Sara B. Kiesler. Symposium on Designing Interactive Systems, 2002
569 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Genetics, Social Psychology
View Paper: https://www.semanticscholar.org/paper/4548900659367fd373210c43837c8f2b6ee00c82
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Elizabeth Broadbent
- Julia Fink
- Ana Paiva
- Iolanda Leite
- Carlos Roque Martinho
- Diane Proudfoot
- Frank Krueger
- T. Fong
In Genetics
In Social Psychology
- Christoph Bartneck
- Julia Fink
- Kerstin Dautenhahn
- Elizabeth Broadbent
- T. Fong
- Ewart J. de Visser
- Thierry Chaminade
- Friederike A. Eyssel
Citations in the corpus
- The advisor robot: tracing people's mental model from a robot's physical attributes (2006, background): “First, prior research suggested that head length and width influence perceptions of a robot’s humanlikeness [8].”
- Measurement of Trust in Automation: A Narrative Review and Reference Guide (2021, background): “It may possess a design that inspires anthropomorphism through facial features (DiSalvo et al., 2002; Phillips et al., 2018), labeling (Waytz et al., 2014), voice (Nass et al., 1997; Muralidharan et al., 2014), or etiquette (Parasuraman and Miller, 2004; de Visser and Parasuraman, 2010), among many…”
- (S)he's Got the Look: Gender Stereotyping of Robots1 (2012, background): “Designers of more or less humanlike robots have particularly been interested in the study of features in the appearance of a robot that not only facilitates a smooth robot–user interaction, but also indicates fields of applications (e.g., DiSalvo et al., 2002; Duffy, 2003).”
- Interactions With Robots: The Truths We Reveal About Ourselves (2017, background): “For example, robots that have a greater number of facial features (nose, mouth, eyes, etc.) are perceived as more humanlike than those with fewer facial features (DiSalvo et al. 2002).”
- Motor interference between Humans and Humanoid Robots: Effect of Biological and Artificial Motion (2005, background): “There are some studies addressing the question of what kind of form [5] and functionality [6-8] a human-like robot should have in order to be socially accepted.”
- Anthropomorphism and Human Likeness in the Design of Robots and Human-Robot Interaction (2012, background): “The role of the physically visible design of robotic products has been discussed and investigated by designers [8] [19] [36].”
- Anthropomorphism: Opportunities and Challenges in Human–Robot Interaction (2014, background): “[49] state that it is the presence of certain features and the dimensions of the head that have a major impact on the perception of a humanoid’s head as human-like (Fig.”
- Trust in humanoid robots: implications for services marketing (2019, background): “This mechanism recommends incorporating human-like characteristics, such as faces and bodies, in the design of robots to enhance their humanlike appearance (Burgoon et al., 2000;DiSalvo et al., 2002).”
- Title of paper : KASPAR – A Minimally Expressive Humanoid Robot for Human-Robot Interaction Research (2009, unknown): “DiSalvo et al. (2002) performed a study into how facial features and dimensions affect the perception of robot heads as human-like.”
- Social Robots for Long-Term Interaction: A Survey (2013, background): “In a study using static images of robots, DiSalvo and colleagues [13] found that the facial features of several robotic heads influenced significantly the perception of humanness in those robots.”
- A Systematic Literature Review of User Trust in AI-Enabled Systems: An HCI Perspective (2022, background): “Importantly, efforts to calibrate the user-AI relationship requires finding the optimal balance that works for not only the user but also the system (DiSalvo et al., 2002; Fink, 2012; Gebru et al., 2022; Shneiderman, 2020b).”
- Almost human: Anthropomorphism increases trust resilience in cognitive agents. (2016, background): “Designers of automated agents will have to determine when to increase and decrease anthropomorphism strategically based on their design objective (DiSalvo & Gemperle, 2002; Fink, 2012).”
- The Uncanny Valley: Effect of Realism on the Impression of Artificial Human Faces (2007, background): “In fact, Mori’s advocacy is acknowledged as a guideline to design the physical appearance of robots (Cañamero & Fredslund, 2001; DiSalvo et al. , 2002; Fong et al. , 2003; Hinds et al. , 2004; Minato et al., 2004a; Minato et al., 2004b; Woods et al. , 2004) and agents in virtual reality (Aylett,…”