United States

As people interact with robots in social contexts, an important research question is the extent to which individuals will feel comfortable disclosing personal information to robots as a function of robot appearance. Using an online questionnaire, 110 participants indicated a strong preference to disclose personal information to a human counselor regardless of the type of information but that they would also disclose more to a friendly appearing robot and female android, than to a robot judged to lack affect.

IEEE RO-MAN 2021

Self-Disclosure of Personal Information, Robot Appearance, and Robot Trustworthiness

robot counseling

robot appearance

self-disclosure

**ICWSM-2022 will be held from June 6th – 9th in a hybrid format, both in-person in Atlanta, Georgia and online.**

**The Workshop and Tutorial Sessions are accessible to those that registered separately for these sessions. If you registered to attend but are not able to access the these sessions from the [Schedule tab](https://underline.io/events/291/schedule?day=2022-06-06T04%3A00%3A00.000Z), please email icwsm@underline.io
**

The International AAAI Conference on Web and Social Media (ICWSM) is a forum for researchers from multiple disciplines to come together to share knowledge, discuss ideas, exchange information, and learn about cutting-edge research in diverse fields with the common theme of online social media. This overall theme includes research in new perspectives in social theories, as well as computational algorithms for analyzing social media. ICWSM is a singularly fitting venue for research that blends social science and computational approaches to answer important and challenging questions about human social behavior through social media while advancing computational tools for vast and unstructured data.


ICWSM, now in its sixteenth year, has become one of the premier venues for computational social science, and previous years of ICWSM have featured papers, posters, and demos that draw upon network science, machine learning, computational linguistics, sociology, communication, and political science. The uniqueness of the venue and the quality of submissions have contributed to a rapidly growing conference, and a competitive acceptance rate of approximately 20% for full-length research papers published in the proceedings by the Association for the Advancement of Artificial Intelligence (AAAI).


**ICWSM Code of Conduct**

All persons, organizations and entities that attend AAAI conferences and events are subject to the standards of conduct set forth on the [AAAI Code of Conduct for Events and Conferences](https://aaai.org/Conferences/code-of-conduct.php). AAAI expects all community members to formally endorse this code of conduct, and to actively prevent and discourage any undesired behaviors. Everyone should feel empowered to politely engage when they or others are disrespected, and to raise awareness and understanding of this code of conduct. AAAI event participants asked to stop their unacceptable behavior are expected to comply immediately. Sponsors are also subject to this code of conduct in their participation in AAAI events.


Additionally, participants are encouraged to be courteous when sharing screen captures and photographs of conference events. Seek permission when possible and respect requests to take down images if those featured ask. Concerns around code of conduct or inclusion may be sent to icwsm22@aaai.org. If you have any concerns or items to report, please reach out to the General Chairs: Diyi Yang and Yelena Mejova.<br><br>


A ticket is required to attend the event, please use the below URL to register for the event if you have not already done so:

https://aaaiconf.cventevents.com/event/be8c26b0-a76f-4753-babb-de2bd9d2a619/summary

Virtual-Only:
$200 AAAI Member
$125 AAAI Student Member
$225 Nonmember
$150 Nonmember Student

Virtual Silver: Includes discounted conference registration, plus a one-year online new or renewed membership in AAAI.
$299 Silver Regular
$174 Silver Student

Virtual - Workshop and Tutorials:
$45 Regular
$25 Student


Registration Is Required

ICWSM 2022

The International AAAI Conference on Web and Social Media (ICWSM) is a forum for researchers from multiple disciplines to come together to share knowledge, discuss ideas, exchange information, and learn about cutting-edge research in diverse fields with the common theme of online social media. This overall theme includes research in new perspectives in social theories, as well as computational algorithms for analyzing social media. ICWSM is a singularly fitting venue for research that blends social science and computational approaches to answer important and challenging questions about human social behavior through social media while advancing computational tools for vast and unstructured data.

technical paper

RO-MAN 2021's theme is trustworthiness and cooperation. We chose this term well before the pandemic put the world on edge and added a new reason for us to question our own personal safety when in the company of others. But what about in the company of social robots? What would cause us to trust, or not trust, them? How do we as researchers create that feeling, that critical component of any relationship? With social robots, it is of course largely in our power to design the physical form, the control code and the interface software to maximize trustworthiness, facilitate cooperation and enhance the quality of human-robot interaction. This theme also touches upon people's expectations and perceptions of robots, as well as other social, cognitive and cultural factors that will influence human-robot interactions. We will have a special session/track on this topic, invite targeted submissions and include plenary speakers who are specialist in this area. We sincerely hope that this focus will help enlighten the design-thinking of all of us as we fabricate and program our own various systems.

To access RO-MAN Virtual 2021, [please register here.](https://ro-man2021.org/registration/)

RO-MAN 2021's theme is trustworthiness and cooperation. We chose this term well before the pandemic put the world on edge and added a new reason for us to question our own personal safety when in the company of others. But what about in the company of social robots? What would cause us to trust, or not trust, them? How do we as researchers create that feeling, that critical component of any relationship? With social robots, it is of course largely in our power to design the physical form, the control code and the interface software to maximize trustworthiness, facilitate cooperation and enhance the quality of human-robot interaction. 

We developed POP Cart which is a shopping cart type agent system and recommend products. The system chats with the user to create a good relationship while shopping for recommendations. To evaluate the system, we conducted an experiment with 49 people in a supermarket. The results of the experiment showed that POP cart recommendations were more acceptable to users than simple recommendations and no recommendations.

POP Cart: Product Recommendation System by an Agent on a Shopping Cart

In this work, we propose using information about the users’ disabilities and impairments to create a navigation prioritization layer for solving multi-robot navigation situations. To deal with the deep subjectivity inherent to assigning these priorities, we propose using human computation to create a navigation solution that will be aligned with humans’ personal value systems, increasing the perceived fairness and trustworthiness of the system.

Use of Human Computation for Coordinating Robotic Mobility Aids Based on User Impairments

Imbuing furniture with robot properties reduces the physical labor and time needed for arranging spaces, such as homes, classrooms, and offices. Outsourcing labor tasks to robot furniture requires users' involvement with functional user interfaces. We performed a user study on multi-robot furniture and added additional features based on the study results. The study involved 12 participants rearranging multiple non-robotic and robotic chairs (ChairBots). Results from the video and interview analysis revealed five high-level features missing in the original ChairBot: dual screen-based user interface, the ability to save and to set arrangements, the ability to move in multi-robot formations, the ability to snap to angles/gridlines, and higher movement precision. The improved system allows users to control multiple furniture robots, both locally and remotely. Such improvement sets the baseline functionalities of robot furniture arrangement systems while extending the potential utilization of established robotic chairs.

Towards User-Centric Robot Furniture Arrangement

With the world population ageing the need to support independent living for older people is of paramount importance. This paper introduces a social robotic application to support healthy living at home as part of SHAPES project, how user requirements have been gathered directly with the end-users, to developing a social robot with chabot abilities that can offer videocalls, measure temperature and deliver reminders by approaching users. The robot will stay at older people’s homes and will promote real-world deployment of social robots.

Social Robotic Application to Support Active and Healthy Ageing

Recent research is emerging in the field of Social Robotics where robots have the potential to serve as tools to improve human well-being. However, research exploring the expectations and perceptions of prospective users of such robots, and the professionals who currently deliver these interventions, is limited. In this paper, we present qualitative analysis of discussions with prospective users and experienced coaches regarding the design of robot well-being coaches. We invited participants interested in well-being practices to take-part in a Participatory Design (PD) study, consisting of individual interviews and a focus group discussion (N_P = 8). Discussions focused on ideating how a robot could function as a mental well-being coach, based on their experiences with well-being practices. Data triangulation was employed by interviewing three professional coaches as additional sources of information. This resulted in a rich set of data, which we transcribed and analysed using Thematic Analysis (TA). The developed themes regarding robot features, form, behaviours, robot-led well-being practices, and the advantages and disadvantages these could provide, were compiled and are discussed in detail. We present this data together with tabulated quotes from the participants and coaches, to pave the way towards designing robot coaches that can provide supportive interventions to improve the mental health and well-being of their users.

When Positive Perception of the Robot Has No Effect On Learning

The goal of this research is to explore how collaborative robot (cobots) in factories could be used in ways that support pleasurable worker experiences using ”research through design” (RtD) method. We developed three scenarios which would evoke fellowship, inspiration, sense of safety and trust, and sens of superiority in human-robot collaboration. The scenarios were developed based on affectiveness, playfulness and relatedness and we evaluated them with 33 participants in two complementary workshops. Our novel interaction designs lead us to unveil participant's expectations towards cobot's behavior in the factory settings.

Acceptance of a minimal design of a human infant for facilitating affective interaction with older adults: A case study toward interactive doll therapy

Using a table-top roleplaying game, researchers work to identify the ways in which a socially assistive robot should both look, as well as what capabilities it should have for the individual user. Focusing on major depressive disorder, the game takes participants through the day in the life of someone living with depression, and seeks to identify ways in which this personalized robot might aid participants facing depression symptoms.

Tradeoff-Focused Contrastive Explanation for MDP Planning

In this study, we examined whether a robot’s unexpected actions affect individual cognitive performance. We have presented the experiment in which a robot could use unexpected visual or auditory stimuli and one’s reaction time in the Simon task was recorded for the investigation of the influence from the robot. Results have verified the idea that individual differences exist both in the perception of social robot’s expressions and the extent of change in cognitive performance.

The Influence of Robot's Unexpected Behavior on Individual Cognitive Performance

The purpose of this study is to investigate if Expectation Violation Theory can be applied to personal space violation by a robot in human-robot interaction and to examine the effects of personal space violation by robots using Expectation Violation Theory as an analytical framework.

Influence of vertical acceleration for inducing sensation of dropping by lower limb force feedback device

We report on user perceptions of “pheB,” a non-anthropomorphic, bio-inspired, pneumatic-actuated robot surface aiming to help regulate our emotional states when inhabiting confined spaces, such as our homes. A survey (N = 50) tested perceived stress levels before and after performing guided breathing exercises under two conditions: led by the pheB prototype and a 2D vector graphic, as well as preferences for different design features. We learned that perceived stress levels were significantly lower after performing the pheB led exercises. Comments from respondents who did not prefer pheB suggested a possible “Uncanny Valley” effect. The research reported here offers an exemplar for conducting user studies online of novel robot designs, highlights user perceptions of bio-inspired robots in HRI research and considers biophilia and the uncanny valley for non-anthropomorphic robots supporting human-centered design applications.

Premium content

Self-Disclosure of Personal Information, Robot Appearance, and Robot Trustworthiness

Downloads

Next from IEEE RO-MAN 2021

POP Cart: Product Recommendation System by an Agent on a Shopping Cart

Similar lecture

The contribution of verified accounts to self-disclosure in COVID-related Twitter conversations

Stay up to date with the latest Underline news!

PRESENTATIONS

CONFERENCES

COMPANY

RESOURCES