You Look Human, But Act Like a Machine
Agent Appearance and Behavior Modulate Different Aspects of Human–Robot Interaction
Bibliographic Data
| ID | 8091914 |
|---|---|
| Authors | Abdulaziz Abubshait (0000-0001-5063-6355, corresponding author), Eva Wiese (0000-0002-0322-1250) |
| Year | 2017 |
| Volume | 8 |
| Pages | 1393-1393 |
| Publication date | 2017-08-23 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Psychology (JOURNAL) |
| Journal identifiers | ISSN: 1664-1078 • E-ISSN: 1664-1078 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyg.2017.01393 |
| PMID | 28878703 |
| OpenAlex | W2748604175 |
| Language | EN |
| Citations received | 31 |
| References cited | 90 |
Gaze following occurs automatically in social interactions, but the degree to which gaze is followed depends on whether an agent is perceived to have a mind, making its behavior socially more relevant for the interaction. Mind perception also modulates the attitudes we have toward others, and determines the degree of empathy, prosociality, and morality invested in social interactions. Seeing mind in others is not exclusive to human agents, but mind can also be ascribed to non-human agents like robots, as long as their appearance and/or behavior allows them to be perceived as intentional beings. Previous studies have shown that human appearance and reliable behavior induce mind perception to robot agents, and positively affect attitudes and performance in human-robot interaction. What has not been investigated so far is whether different triggers of mind perception have an independent or interactive effect on attitudes and performance in human-robot interaction. We examine this question by manipulating agent appearance (human vs. robot) and behavior (reliable vs. random) within the same paradigm and examine how congruent (human/reliable vs. robot/random) versus incongruent (human/random vs. robot/reliable) combinations of these triggers affect performance (i.e., gaze following) and attitudes (i.e., agent ratings) in human-robot interaction. The results show that both appearance and behavior affect human-robot interaction but that the two triggers seem to operate in isolation, with appearance more strongly impacting attitudes, and behavior more strongly affecting performance. The implications of these findings for human-robot interaction are discussed
Affect (linguistics · Cognition · Cognitive psychology · Empathy · Gaze · Human–robot interaction · Mobile robot · Perception · Prosocial behavior · Robot · Robot control · Social cue · Social relation · Social robot · Theory of mind · Computer Science · Face Recognition and Perception · Neuroscience · Psychology · Psychology of Moral and Emotional Judgment · Social Robot Interaction and HRI · Artificial Intelligence · Communication · Social Psychology
Signals of Communicative Intent Enhance the Impact of Emotional Messages from Human Speakers, While Effects for Robots are Attenuated
“It's not Paul, it's a robot”
Social Responses to Media Technologies in the 21st Century
“Wow, You’re Really the Champion of the ‘Resting Competition’, Huh?!”
“Eyes” On Me! 3- to 6-Year-Old Children Anthropomorphize Humanoid Robot with Biological and Mental Attributions
Influence of Robots’ Voice Naturalness on Trust and Compliance
Mental State Attribution to Robots
Older Adults’ Perceptions of Robots with Differing Intelligence in Social Multi-Robot Interactions
Response to Advertising Delivered by Voice Assistants
U.S. and Japanese Consumer Attitudes Toward Tailored and Targeted Communication with Human and Chatbot Agents
Predicting the moral consideration of artificial intelligences
Warmth trumps competence? Uncovering the influence of multimodal AI anthropomorphic interaction experience on intelligent service evaluation
Good to see you R2-D2
Humans share task load with a computer partner if (they believe that) it acts human-like
Emotional Influence of Pupillary Changes of Robots with Different Human-Likeness Levels on Human
Social Robots to Test Flexibility of Human Social Cognition
Does Context Matter? Effects of Robot Appearance and Reliability on Social Attention Differs Based on Lifelikeness of Gaze Task
Folk-Ontological Stances Towards Robots and Psychological Human Likeness
What is beautiful is good
Gender Assignment in Robots with Gender‐Neutral Appearance and Its Influence on Gender Image
The Influence of Gendered Physical Attributes and Personality Traits on Robot Perception
Attributing Values to Devices
Forecasting the evolution of urban mobility
When your boss is a robot
The Mind in the Machine
Robot Authority in Human-Robot Teaming
Gender preferences for robots and gender equality orientation in communication situations
Ascribing consciousness to artificial intelligence
How Linguistic Framing Affects Factory Workers' Initial Trust in Collaborative Robots
The Hitchhiker’s Guide to a Credible and Socially Present Robot
Enhancing citizen experience with anthropomorphic chatbots in public services
Mindblindness
Functional imaging of ‘theory of mind’
A review of empirical evidence on different uncanny valley hypotheses
An Experimental Study of Apparent Behavior
The thing that should not be
The eyes have it
Movement and Mind
Dimensions of Mind Perception
All robots are not created equal
The eyes have it! Reflexive orienting is triggered by nonpredictive gaze
A survey of socially interactive robots
Crime and punishment
Humans are Well Tuned to Detecting Agents Among Non-agents
Perceived intentionality intensifies blameworthiness of negative behaviors
Attentional shift by eye gaze requires joint attention
Anxiety and sensitivity to gaze direction in emotionally expressive faces
Group membership alters the threshold for mind perception
Persuasive robotic assistant for health self-management of older adults
Anthropomorphic Interactions with a Robot and Robot–like Agent
The mind in the machine
Making sense by making sentient
Gaze cueing of attention
Coordination of verbal and non-verbal actions in human-robot interaction at museums and exhibitions
| Unique citing works | 31 |
|---|---|
| Citations per year | 5,17 |
| Citation span | 2020 - 2026 (7) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 30 |