Lionel P. Robert

Lionel P. Robert
University of Michigan | U-M · School of Information

PhD in Information Systems

About

236
Publications
77,930
Reads
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3,533
Citations
Introduction
By way of introduction, I am an Associate Professor in the School of Information (UMSI) at the University of Michigan. I am an affiliate of the Michigan Interactive and Social Computing (MISC) Research Group, Michigan Robotics (Robotics), and the Information Behavior and Interaction (IBI) Research Group all at Michigan and the Center for Computer-Mediated Communication (CCMC) at Indiana University.
Additional affiliations
July 2017 - present
University of Michigan
Position
  • Professor
August 2011 - June 2017
University of Michigan
Position
  • Professor
September 2007 - May 2011
University of Arkansas
Position
  • Professor
Education
August 2001 - December 2005
Indiana University Bloomington
Field of study
  • Information Systems
August 2001 - June 2006
Indiana University Bloomington
Field of study
  • Information Systems
September 1999 - December 2000
University of Louisiana at Lafayette
Field of study
  • Telecommunications

Publications

Publications (236)
Conference Paper
Full-text available
Trust is vital for effective human-robot teams. Trust is unstable, however, and it changes over time, with decreases in trust occurring when robots make mistakes. In such cases, certain strategies identified in the human-human literature can be deployed to repair trust, including apologies, denials, explanations, and promises. Whether these strateg...
Article
Full-text available
Prior literature suggests that shared identity and social attraction between team members and their robots can be vital for the human–robot interaction. However, more attention is needed to understand the potential performance benefits associated with team identification (TI) and robot attractiveness in human–robot teams. We proposed a theoretical...
Article
Full-text available
Prior literature suggests that shared identity and social attraction between team members and their robots can be vital for the human-robot interaction. However, more attention is needed to understand the potential performance benefits associated with team identification (TI) and robot attractiveness in human-robot teams. We proposed a theoretical...
Conference Paper
Full-text available
Extractive economies alienate value from those who generate it. But the development of a generative economy-one that maintains value in unalienated forms, and circulates rather than extracts-requires more than simply establishing "openness". This paper examines the spectrum between fully open and accessible technologies, and those that are strictly...
Article
Full-text available
For robots to be of use to humans, they first must be accepted. One important variable that might impact this acceptance is a robot's personality. To date, results of studies examining robot personality have produced mixed results. One method of making sense of these results is meta-analysis. Therefore, to examine the potential relationship between...
Article
Full-text available
This study explored, in consideration of cultural differences, how explanation timing and permission of the automated vehicle’s (AV’s) actions affected drivers’ trust in, preference for, and anxiety about the AV. We conducted a video-based online survey study with 118 participants in different cultural contexts. Each participant experienced four co...
Conference Paper
Full-text available
Recently, chatbots have been deployed in health care in various ways such as providing educational information, and monitoring and triaging symptoms. However, they can be ineffective when they are designed without a careful consideration of the cultural context of the users, especially for marginalized groups. Chatbots designed without cultural und...
Article
Full-text available
Human–robot teams represent a challenging work application of artificial intelligence (AI). Building strong emotional bonds with robots is one solution to promoting teamwork in such teams, but does this come at a cost in the form of subgroups? Subgroups—smaller divisions within teams—in all human teams can undermine teamwork. Despite the importance...
Preprint
Full-text available
Human-robot teams represent a challenging work application of artificial intelligence (AI). Building strong emotional bonds with robots is one solution to promoting teamwork in such teams, but does this come at a cost in the form of subgroups? Subgroups-smaller divisions within teams-in all human teams can undermine teamwork. Despite the importance...
Article
Full-text available
Human–robot teams represent a challenging work application of artificial intelligence (AI). Building strong emotional bonds with robots is one solution to promoting teamwork in such teams, but does this come at a cost in the form of subgroups? Subgroups — smaller divisions within teams — in all human teams can undermine teamwork. Despite the import...
Conference Paper
Full-text available
Recently, chatbots have been deployed in health care in various ways such as providing educational information, and monitoring and triaging symptoms. However, they can be ineffective when they are designed without a careful consideration of the cultural context of the users, especially for marginalized groups. Chatbots designed without cultural und...
Conference Paper
Full-text available
Robot co-workers, like human co-workers, make mistakes that undermine trust. Yet, trust is just as important in promoting human-robot collaboration as it is in promoting human-human collaboration. In addition, individuals can significantly differ in their attitudes toward robots, which can also impact or hinder their trust in robots. To better unde...
Preprint
Full-text available
This study explored, in consideration of cultural differences, how explanation timing and permission of the automated vehicle's (AV's) actions affected drivers' trust in, preference for, and anxiety about the AV. We conducted a video-based online survey study with 118 participants in different cultural contexts. Each participant experienced four co...
Article
Full-text available
Paid crowdsourcing connects task requesters to a globalized, skilled workforce that is available 24/7. In doing so, this new labor model promises not only to complete work faster and more efficiently than any previous approach but also to harness the best of our collective capacities. Nevertheless, for almost a decade now, crowdsourcing has been li...
Article
Full-text available
Trust miscalibration issues, represented by undertrust and overtrust, hinder the interaction between drivers and self-driving vehicles. A modern challenge for automotive engineers is to avoid these trust miscalibration issues through the development of techniques for measuring drivers' trust in the automated driving system during real-time applicat...
Article
Full-text available
Automated vehicles (AV) have the potential to decrease driving-related accidents and traffic congestion and to reduce fuel consumption and carbon emissions. However, because of a lack of trust and acceptance, their widespread adoption is far from certain. One approach researchers have taken to promote trust and acceptance of AVs is to decrease the...
Conference Paper
Full-text available
Human-robot teams have the ability to perform better across various tasks than human-only and robot-only teams. However , such improvements cannot be realized without proper task allocation. Trust is an important factor in teaming relationships , and can be used in the task allocation strategy. Despite the importance, most existing task allocation...
Conference Paper
Full-text available
Automated vehicles (AVs) are social robots that can potentially benefit our society. According to the existing literature, AV explanations can promote passengers' trust by reducing the uncertainty associated with the AV's reasoning and actions. However, the literature on AV explanations and trust has failed to consider how the type of trust-cogniti...
Preprint
Full-text available
Human-robot teams have the ability to perform better across various tasks than human-only and robot-only teams. However, such improvements cannot be realized without proper task allocation. Trust is an important factor in teaming relationships, and can be used in the task allocation strategy. Despite the importance, most existing task allocation st...
Preprint
Full-text available
Automated vehicles (AVs) are social robots that can potentially benefit our society. According to the existing literature, AV explanations can promote passengers' trust by reducing the uncertainty associated with the AV's reasoning and actions. However, the literature on AV explanations and trust has failed to consider how the type of trust - cogni...
Article
Full-text available
Robots have become vital to the delivery of health care and their personalities are often important to understanding their effectiveness as health care providers. Despite this, there is a lack of a systematic overarching understanding of personality in health care human-robot interaction. This makes it difficult to understand what we know and do no...
Research
The current era of technology-enabled change is often referred to as the fourth industrial revolution (4IR). Information systems research into the 4IR largely adopts a techno-economic perspective, according to which rapidly advancing digital technologies enable productivity-enhancing industrial innovations. As a result, insufficient knowledge is ge...
Conference Paper
Full-text available
In conditionally automated driving, in-vehicle alert systems can provide drivers with information to assist their takeovers from automated driving. This study investigated how display modality and information influenced drivers’ acceptance of the in-vehicle alert systems under different event criticality situations. We conducted an online video stu...
Article
Full-text available
The current era of technology-enabled change is often referred to as the fourth industrial revolution (4IR). Information systems research into the 4IR largely adopts a techno-economic perspective, according to which rapidly advancing digital technologies enable productivity-enhancing industrial innovations. As a result, insufficient knowledge is ge...
Article
Full-text available
A particular concern with SAE Level 3 automated vehicles is the takeover transition from the automated vehicle to the driver. Prior research has employed a wide range of metrics for measuring takeover performance. However, the lack of a set of standard metrics for measuring takeover performance makes it difficult to consolidate findings and summari...
Preprint
Full-text available
Despite the benefits of automated vehicles (AVs), there are still barriers to their widespread adoption. Expectations about AVs have been identified as one of the most important factors in understanding AV adoption. Therefore, by understanding the public's expectations of AVs, we can better understand whether or when AVs are likely to be adopted on...
Article
Full-text available
Despite the benefits of automated vehicles (AVs), there are still barriers to their widespread adoption. Expectations about AVs have been identified as one of the most important factors in understanding AV adoption. Therefore, by understanding the public's expectations of AVs, we can better understand whether or when AVs are likely to be adopted on...
Preprint
Full-text available
Automated vehicles (AVs) have given rise to a new field of study: human-automated vehicle interaction (H-AVI). Unfortunately, the H-AVI field has largely ignored the importance of context. To address this, this paper describes a socio-ecological view of H-AVI. Drawing on this view, the author briefly discusses and identifies unexplored areas. In do...
Preprint
Full-text available
Extrapolation from low-fidelity design iterations is especially critical in HRI. An initial proposal for low-fidelity to higher fidelity extrapolation is developed using insights from cognitive multimedia learning theory to account for the effects of prototype medium and three types of cognitive demands. Inspired by Donald Norman and others, our pr...
Preprint
Full-text available
Trust is vital to promoting human and robot collaboration, but like human teammates, robots make mistakes that undermine trust. As a result, a human's perception of his or her robot teammate's trustworthiness can dramatically decrease [1], [2], [3], [4]. Trustworthiness consists of three distinct dimensions: ability (i.e. competency), benevolence (...
Preprint
Full-text available
Collaborative work between humans and robots holds great potential but, such potential is diminished should humans fail to accept robots as collaborators. One solution is to design robots to have a similar personality to their human collaborators. Typically, this is done by matching the human's and robot's personality using one or more of the Big F...
Conference Paper
Full-text available
A particular concern with SAE Level 3 automated vehicles is the takeover transition from the automated vehicle to the driver. Prior research has employed a wide range of metrics for measuring takeover performance. However, the lack of a set of standard metrics for measuring takeover performance makes it difficult to consolidate findings and summari...
Conference Paper
Full-text available
A significant challenge for real-world deployment of automated vehicles (AVs) is their safe interaction with other road users, particularly pedestrians, whose behavior can change almost instantaneously. To ensure safety, AVs are expected to drive cautiously around pedestrians. However, conservative AV behavior can encourage pedestrians to be carele...
Conference Paper
Full-text available
Trust in robots has been gathering attention from multiple directions, as it has a special relevance in the theoretical descriptions of human-robot interactions. It is essential for reaching high acceptance and usage rates of robotic technologies in society, as well as for enabling effective human-robot teaming. Researchers have been trying to mode...
Preprint
Full-text available
Trust in robots has been gathering attention from multiple directions, as it has special relevance in the theoretical descriptions of human-robot interactions. It is essential for reaching high acceptance and usage rates of robotic technologies in society, as well as for enabling effective human-robot teaming. Researchers have been trying to model...
Preprint
Full-text available
We introduce a novel capabilities-based bi-directional multi-task trust model that can be used for trust prediction from either a human or a robotic trustor agent. Tasks are represented in terms of their capability requirements, while trustee agents are characterized by their individual capabilities. Trustee agents' capabilities are not determinist...
Article
Full-text available
We introduce a novel capabilities-based bi-directional multi-task trust model that can be used for trust prediction from either a human or a robotic trustor agent. Tasks are represented in terms of their capability requirements, while trustee agents are characterized by their individual capabilities. Trustee agents' capabilities are not determinist...
Conference Paper
Full-text available
Human personality has been identified as a predictor of robot acceptance in the human-robot interaction (HRI) literature. Despite this, the HRI literature has provided mixed support for this assertion. To better understand the relationship between human personality and robot acceptance, this paper conducts a meta-analysis of 26 studies. Results fou...
Conference Paper
Full-text available
Cognitive computing systems (CCS) are the new generation of automated IT systems that mimic human cognitive capabilities. CCS reshape the interaction between humans and machines and challenge our traditional assumptions of technology use and adoption. This work introduces co adaptation and defines it as the series of activities that a user and a sy...
Article
Full-text available
The economy for artisanal products, such as Navajo rugs or Pashmina shawls are often threatened by mass-produced fakes. We propose the use of AI-based authentication as one part of a larger system that would replace extractive economies with generative circulation. In this case study we examine initial experiments towards the development of a cell...
Conference Paper
Full-text available
Organizations are increasingly relying on a workforce that includes humans and robots working collaboratively. Yet, many humans are reluctant to work with robots. To help identify and predict who is likely to want to work with a robot, this paper introduces a new scale called attitude toward working with a robot (AWRO). The author conducted a study...
Article
Full-text available
For automated vehicles (AVs) to navigate safely, they must be able to anticipate and predict the behavior of pedestrians. This is particularly critical in urban driving environments where risks of collisions are high. However, a major challenge is that pedestrian behavior is inherently multimodal in nature, i.e., pedestrians can plausibly take mult...
Article
Full-text available
Automated vehicles (AV) have the potential to benefit our society. Providing explanations is one approach to facilitating AV trust by decreasing uncertainty about automated decision-making. However, it is not clear whether explanations are equally beneficial for drivers across age groups in terms of trust and anxiety. To examine this, we conducted...
Article
Full-text available
Automated Vehicle (AV) buses hold great potential, yet it is not clear if Americans will choose to ride them. Trust and attitudes, often influenced by individual differences , are vital predictors of technology acceptance and AVs are no exception. To deepen our understanding of individual differences as they pertain to AV buses, this paper presents...
Article
Full-text available
The COVID-19 pandemic has led to the widespread adoption of physical distancing to prevent the disease’s spread. Physical distancing, however, is not always feasible for essential workers. Robots are one proposed solution to help ensure that essential work is performed while reducing the risk of COVID-19 exposure among essential workers and their f...
Preprint
Full-text available
Advances in perception and artificial intelligence technology are expected to lead to seamless interaction between humans and robots. Trust in robots has been evolving from the theory on trust in automation, with a fundamental difference: unlike traditional automation, robots could adjust their behaviors depending on how their human counterparts ap...
Article
Full-text available
Automated driving systems (ADSs) allow vehicles to engage in self-driving under specific conditions. Along with the potential safety benefits, the increase in productivity through non-driving-related tasks (NDRTs) is often cited as a motivation behind the adoption of ADSs. Although advances have been made in understanding both the promotion of ADS...
Article
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Abstract Purpose: This paper reports the panel discussion on the topic of artificial intelligence (AI) and robots in our lives. This discussion was held at the Digitization of the Individual (DOTI) workshop at the International Conference on Information Systems in 2019. Three scholars (in alphabetical order: Ting-Peng Liang, Lionel Robert, and Supr...
Article
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It is our pleasure to welcome you to this AIS Transactions on Human Computer Interaction special issue on artificial intelligence (AI) fairness, trust, and ethics. This special issue received research papers that unpacked the potential, challenges, impacts, and theoretical implications of AI. This special issue contains four papers that integrate r...
Article
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African Americans have faced health disparities in terms of access to health care and treatment of illnesses. The novel coronavirus disease 2019 (COVID-19) pandemic exacerbates those disparities caused by limited access to medical care and healthy lifestyles, vulnerability to misleading information, and mistrust of the medical profession, all of wh...
Article
Full-text available
Automated vehicles (AVs) that intelligently interact with drivers must build a trustworthy relationship with them. A calibrated level of trust is fundamental for the AV and the driver to collaborate as a team. Techniques that allow AVs to perceive drivers' trust from drivers' behaviors and react accordingly are, therefore, needed for context-aware...
Article
Full-text available
Artificial intelligence (AI) is poised to eliminate millions of jobs, from finance to truck driving. But artisanal products (e.g., handmade textiles) are valued precisely because of their human origins, and thus have some inherent “immunity” from AI job loss. At the same time, artisanal labor, combined with technology, could potentially help to dem...