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Impact of two types of partner, perceived or actual, in human–human and human–agent interaction

Kazuhisa Miwa, Hitoshi Terai
2012 Computers in Human Behavior  
We define two types of partner: a perceived partner and an actual partner, and manipulated the two factors independently.  ...  In one scenario participants actually interacted with a human partner, in another scenario their partner was either a mostly cooperating computer agent or a mostly defecting computer agent.  ...  In understanding the relationship between responses to another human or a computer agent, these two types of processing are embodied by two types of partner: perceived and actual, which are defined as  ... 
doi:10.1016/j.chb.2012.02.012 fatcat:yt73r4y7qvgh7h6tuvkgoumeiy

Psychological, Relational, and Emotional Effects of Self-Disclosure After Conversations With a Chatbot

Annabell Ho, Jeff Hancock, Adam S Miner
2018 Journal of Communication  
When disclosers believe they are interacting with a computer instead of another person, such as a chatbot that can simulate human-to-human conversation, outcomes may be undermined, enhanced, or equivalent  ...  This study advances current understanding of disclosure and whether its impact is altered by technology, providing support for media equivalency as a primary mechanism for the consequences of disclosing  ...  The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.  ... 
doi:10.1093/joc/jqy026 pmid:30100620 fatcat:sseqilrhxzh2fkv2xbz7swymea

Getting personal with computers: How to design personalities for agents

D. Christopher Dryer
1999 Applied Artificial Intelligence  
People di er in the kinds of personalities they want their partners to have, and the match between two people's personalities impacts how enjoyable and productive the interaction is Horowitz et al., 1997  ...  GEN ERALIZATION S : TIPS F OR DESIGN IN G PERSON ALITIES As designers become more aware of the impact that social responses have in human-machine interactions, they will face some of these same issues.  ... 
doi:10.1080/088395199117423 fatcat:7ws7yhvdbvgktjiyoohumo3lsa

An Investigation of Conversational Agent Relevance, Presence, and Engagement

Ryan M. Schuetzler, G. Mark Grimes, Justin Scott Giboney
2018 Americas Conference on Information Systems  
Despite the prevalence of CAs in modern life, there are many factors related to the social nature of the interaction between CAs and humans that remain uninvestigated.  ...  Conversational agents (CAs) are becoming an integral component of many personal and business interactions.  ...  Further research is needed to investigate the role of social presence and engagement in different types of CA interaction.  ... 
dblp:conf/amcis/SchuetzlerGG18 fatcat:6ipicra2ybafxeydjnnxayt5ge

The impact of stereotyping errors on a robot's social development

Alan R. Wagner
2012 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL)  
Psychologists note that social cognition often involves the creation, refinement, and use of models of one's interactive partners.  ...  We hypothesized that errors in which the robot interacted with someone that did not represent the true nature of a category, an outlier, would impact the robot's performance on a social coordination task  ...  The term individual is used to indicate a human, a social robot, or an agent. We focus on interaction involving two individualsdyadic interaction.  ... 
doi:10.1109/devlrn.2012.6400834 dblp:conf/icdl-epirob/Wagner12 fatcat:46luejjgujfldfwaj3az665a4y

Using cluster-based stereotyping to foster human-robot cooperation

Alan R. Wagner
2012 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems  
We show, in simulation and using real robots, that these stereotyped models of the partner can be used to bootstrap the robot's learning about the partner in spite of significant error.  ...  Psychologists note that humans regularly use categories to simplify and speed up the process of person perception [1].  ...  The term individual is used to indicate a human, a social robot, or an agent. We focus on interaction involving two individuals-dyadic interaction.  ... 
doi:10.1109/iros.2012.6385704 dblp:conf/iros/Wagner12 fatcat:llzxsphuhzbjlpkym4swi6n4ym

Design for Fast Request Fulfillment or Natural Interaction? Insights from an Experiment with a Conversational Agent

Stephan Diederich, Alfred Benedikt Brendel, Sascha Lichtenberg, Lutz M. Kolbe
2019 European Conference on Information Systems  
However, their use might also decrease the perceived humanness and social presence of the agent as the user does not respond naturally by thinking of and formulating a reply.  ...  In this study, we conducted an experiment with N=80 participants in a customer service context to explore the impact of such elements on agent anthropomorphism and user satisfaction.  ...  responsiveness of the agent) with the potentially detrimental impact of such elements on perceived humanness and social presence of the CA.  ... 
dblp:conf/ecis/DiederichBLK19 fatcat:cjiehn7pbngafa3abzr4ynowlq

Human versus chatbot: Understanding the role of emotion in health marketing communication for vaccines

Wan‐Hsiu Sunny Tsai, Di Lun, Nicholas Carcioppolo, Ching‐Hua Chuan
2021 Psychology & Marketing  
with either a perceived chatbot or a human representative.  ...  Overall, the chatbot performed comparably to the human representative in terms of perceived usefulness and influence over participants' compliance intention in all emotional contexts.  ...  In addition, our results showed that the type of evaluation outcomes may be another moderator of the agency effect; agents and avatars may exert different impacts on experience-oriented evaluations, such  ... 
doi:10.1002/mar.21556 pmid:34539051 pmcid:PMC8441681 fatcat:zfgwutcacvcerlrwim6mhj4uhe

Modeling Interaction in Human–Machine Systems: A Trust and Trustworthiness Approach

Alessandro Sapienza, Filippo Cantucci, Rino Falcone
2022 Automation  
On the contrary, in this work, we made the effort to consider the different types of interaction together, showing the advantages of this approach and the problems it allows to face.  ...  Indeed, the applications of trust in these scenarios are so complex that often, the interaction models consider only a part of the possible interactions and not the system in its entirety.  ...  at the different types of interaction that arise between human and artificial agents.  ... 
doi:10.3390/automation3020012 doaj:a4a2cd56afc14b2793381243e0d9cf0f fatcat:ezzt6qtfs5dtfnhq4hz7qeyuhi

A Systematic Review of Social Presence: Definition, Antecedents, and Implications

Catherine S. Oh, Jeremy N. Bailenson, Gregory F. Welch
2018 Frontiers in Robotics and AI  
Social presence, or the feeling of being there with a "real" person, is a crucial component of interactions that take place in virtual reality.  ...  The article begins by exploring the concept of social presence, distinguishing it from two other dimensions of presence-telepresence and self-presence.  ...  ACKNOWLEDGMENTS We acknowledge Florida Hospital for their support of GW via their Endowed Chair in Healthcare Simulation.  ... 
doi:10.3389/frobt.2018.00114 pmid:33500993 pmcid:PMC7805699 fatcat:bcofxvghufb7lkuugynswgqi2e

Cybersex with human- and machine-cued partners: Gratifications, shortcomings, and tensions

Jaime Banks, Joris Van Ouytsel
2020 Technology, Mind, and Behavior  
and shortcomings of cybersex with machine-cued partners.  ...  Advancing our understanding of those questions is vital in understanding the potential for machine partners to foster the health and welfare benefits, as well as the potential to have negative impacts.  ...  The manipulation check was administered in two forms: (a) first an evaluation of an open-ended description of the experience for indicators of agent type followed by (b) a question "Which type of chat  ... 
doi:10.1037/tmb0000008 fatcat:g5q7wfn7yfeqfkwrubp2ebkh5m

Interpersonal Closeness Correlates With Social Influence on Color Perception Task Using Human and Artificial Agents

Kyohei Tatsukawa, Hideyuki Takahashi, Yuichiro Yoshikawa, Hiroshi Ishiguro
2018 Frontiers in ICT  
Moreover, participants' responses and accompanying error rates did not differ as a function of agent type.  ...  Participants were instructed to make a decision after a partner agent (human, computer, or android robot) answered the same question in a color perception task.  ...  There was no main effect for type of agent or any interactions across factors.  ... 
doi:10.3389/fict.2018.00024 fatcat:cs7axyeyo5bqfco75vxh2ynnxy

Facilitating Natural Conversational Agent Interactions: Lessons from a Deception Experiment

Ryan M. Schuetzler, G. Mark Grimes, Justin Scott Giboney, Joseph Buckman
2014 International Conference on Information Systems  
The two objectives of this study were (1) to analyze the impact of dynamic responses on participants' perceptions of the conversational agent, and (2) to explore behavioral changes in interactions with  ...  This study reports the results of a laboratory experiment exploring interactions between humans and a conversational agent.  ...  We also gratefully acknowledge the support and guidance of Drs. Judee Burgoon and Jay Nunamaker.  ... 
dblp:conf/icis/SchuetzlerGGB14 fatcat:ebl3xbygvvfu5k4kpzutjz32mu

Help! Is my chatbot falling into the uncanny valley? An empirical study of user experience in human-chatbot interaction

Marita Skjuve, Ida Maria Haugstveit, Asbjørn Følstad, Petter Bae Brandtzaeg
2019 Human Technology: An Interdisciplinary Journal on Humans in ICT Environments  
First, we used a 2 x 2 experimental research design (n = 28) to investigate effects of lack in transparency on the perceived pleasantness of the conversation in addition to perceived human likeness and  ...  Advances in artificial intelligence strengthen chatbots' ability to resemble human conversational agents.  ...  Perceived Human Likeness and Affinity Perceived human likeness and affinity are the two key factors in the theory of the uncanny valley.  ... 
doi:10.17011/ht/urn.201902201607 fatcat:kmzzx4okrbcsxp6okrbipadxdu

Effects of Persuasive Dialogues: Testing Bot Identities and Inquiry Strategies [article]

Weiyan Shi, Xuewei Wang, Yoo Jung Oh, Jingwen Zhang, Saurav Sahay, Zhou Yu
2020 arXiv   pre-print
Intelligent conversational agents, or chatbots, can take on various identities and are increasingly engaging in more human-centered conversations with persuasive goals.  ...  Further, we identified interaction effects among perceived identities and inquiry strategies.  ...  Given the previous findings on the impact of bot perception regardless of displayed identities, we were also curious about the perceived identity's impact on the partner impression and conversation quality  ... 
arXiv:2001.04564v1 fatcat:zgvpffxtwja4je2t4wttzo5yim
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