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- extended-abstractDecember 2023
Errare humanum est, perseverare autem diabolicum: A Follow-Up Study on the Human-Likeness of an AI Othello Player
IVA '23: Proceedings of the 23rd ACM International Conference on Intelligent Virtual AgentsArticle No.: 36, Pages 1–3https://doi.org/10.1145/3570945.3607327Othello, also known as Reversi, is a popular 2-players board game. Olivaw is an intelligent agent playing Othello. Compared to the most famous ones (such as Saio), it exploits limited resources by autonomously learning how to improve its gameplay by ...
- ArticleSeptember 2023
The Human Likeness of Government Chatbots – An Empirical Study from Norwegian Municipalities
AbstractWhile chatbots represent a potentially useful supplement to government information and service provision, transparency requirements imply the need to make sure that this technology is not confused with human support. However, there is a knowledge ...
- short-paperMarch 2023
What Does It Mean to Anthropomorphize Robots?: Food For Thought for HRI Research
HRI '23: Companion of the 2023 ACM/IEEE International Conference on Human-Robot InteractionPages 422–425https://doi.org/10.1145/3568294.3580119Anthropomorphism is a well-used but vague concept that demands further understanding and clarification to be effectively used in HRI research. Although most HRI research defines and uses anthropomorphism as a human-like attribution process, there is lack ...
- research-articleOctober 2022
Effects of Humanlikeness and Conversational Breakdown on Trust in Chatbots for Customer Service
NordiCHI '22: Nordic Human-Computer Interaction ConferenceArticle No.: 56, Pages 1–13https://doi.org/10.1145/3546155.3546665Trust in chatbots can be shaped by various factors such as humanlikeness in terms of visual appearance and conversational content, and conversational performance in terms of the chatbot’s ability to avoid conversational breakdown. The literature is ...
- extended-abstractSeptember 2022
Errare humanum est?: a pilot study to evaluate the human-likeness of a AI othello playing agent
IVA '22: Proceedings of the 22nd ACM International Conference on Intelligent Virtual AgentsArticle No.: 27, Pages 1–3https://doi.org/10.1145/3514197.3549699Olivaw is an AI Othello playing agent which autonomously learns how to improve its gameplay by playing against itself. Some top-notch players (including former World Champions) reported that they had the impression that Olivaw's gameplay was human-like. ...
- short-paperMarch 2021
The Valley of non-Distraction: Effect of Robot's Human-likeness on Perception Load
HRI '21 Companion: Companion of the 2021 ACM/IEEE International Conference on Human-Robot InteractionPages 99–103https://doi.org/10.1145/3434074.3447137Previous research in psychology has found that human faces have the capability of being more distracting under high perceptual load conditions compared to non-face objects. This project aims to assess the distracting potential of robot faces based on ...
- abstractApril 2020
Inconsequential Appearances: An Analysis of Anthropomorphic Language in Voice Assistant Forums
CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing SystemsPages 1–7https://doi.org/10.1145/3334480.3382793We compared anthropomorphic language use in online forums about the Amazon Echo Show, Q.bo One, and Anki Vector; carrying out a content analysis of forum and Reddit threads, as well as a Facebook group. Our expectation was to find the highest amount of ...
- research-articleApril 2020
A Human Touch: Social Touch Increases the Perceived Human-likeness of Agents in Virtual Reality
- Matthias Hoppe,
- Beat Rossmy,
- Daniel Peter Neumann,
- Stephan Streuber,
- Albrecht Schmidt,
- Tonja-Katrin Machulla
CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing SystemsPages 1–11https://doi.org/10.1145/3313831.3376719Virtual Reality experiences and games present believable virtual environments based on graphical quality, spatial audio, and interactivity. The interaction with in-game characters, controlled by computers (agents) or humans (avatars), is an important ...
- abstractApril 2020
Hearing a Nose?: User Expectations of Robot Appearance Induced by Different Robot Voices
HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot InteractionPages 355–356https://doi.org/10.1145/3371382.3378285Congruence between the visual appearance of a robot and its behavioral and communicative characteristics has been shown to be a crucial determinant of user acceptance. Given the growing popularity of speech interfaces, a coherent design of a robot's ...
- abstractMay 2019
Exploring Effects of Conversational Fillers on User Perception of Conversational Agents
CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing SystemsPaper No.: LBW2715, Pages 1–6https://doi.org/10.1145/3290607.3312913Through technological advancements in various areas of our lives, Conversational Agents progressed in their human-likeness. In the field of HCI, however, the use of conversational fillers (e.g., "um," "uh," etc.) by Conversational Agents have not been ...
- research-articleFebruary 2018
What is Human-like?: Decomposing Robots' Human-like Appearance Using the Anthropomorphic roBOT (ABOT) Database
HRI '18: Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot InteractionPages 105–113https://doi.org/10.1145/3171221.3171268Anthropomorphic robots, or robots with human-like appearance features such as eyes, hands, or faces, have drawn considerable attention in recent years. To date, what makes a robot appear human-like has been driven by designers» and researchers» ...
- research-articleMarch 2014
Let me tell you! investigating the effects of robot communication strategies in advice-giving situations based on robot appearance, interaction modality and distance
HRI '14: Proceedings of the 2014 ACM/IEEE international conference on Human-robot interactionPages 479–486https://doi.org/10.1145/2559636.2559670Recent proposals for how robots should talk to people when they give advice suggest that the same strategies humans employ with other humans are effective for robots as well. However, the evidence is exclusively based on people's observation of robot ...
- abstractMarch 2012
Does a robot that can learn verbs lead to better user perception?
HRI '12: Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot InteractionPages 143–144https://doi.org/10.1145/2157689.2157726The current understanding is that human-likeness of a robot leads to better human perception. However, the factors have not been thoroughly studied. We conducted a laboratory experiment to examine two questions: how verb acquisition ability affects ...