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Eliot R. Smith

dblp:61/9128 · DBLP profile ↗
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6ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0002-0458-6235ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 6 · 1 since 2021Human-computer interaction and ubiquitous computing · 5 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 3 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
3 papers
Human-robot interaction · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
entitativity
0.312017
Threatening Flocks and Mindful Snowflakes: How Group Entitativity Affects Perceptions of Robots · HRI 2017
Human-robot interaction › social human-robot interaction
Cross-cultural HRI
0.112017
Threatening Flocks and Mindful Snowflakes: How Group Entitativity Affects Perceptions of Robots · HRI 2017
Human-robot interaction
attitudes toward robots
0.112015
Rabble of Robots Effects: Number and Form of Robots Modulates Attitudes, Emotions, and Stereotypes · HRI 2015

Methods — techniques the papers use, named apart from their topics

between-subjects experiment · 0.5survey ratings · 0.4dilemma tasks · 0.4
YearPublicationVenuePosition
2024 Ties That Bind: Group Effects in Human-Robot Team Interaction in Japan and the United States
abstract
Past research with participants in the United States showed that, in competitive group tasks, they have more positive attitudes and behaviors toward robots on their team over humans in another team. Here we present a study in which two Japanese students and two robots, placed in a randomly assigned group, compete with another student-and-robot team in a digital game. We explored participants’ moral behavior towards the robots, measured through their assignment of loud noise blasts to human and robot participants, and their perceptions of and attitudes towards the robots. We then compared this data to that which was collected within the United States. Results indicated that participants in Japan favored their ingroup humans and robots over outgroup agents and differentiated ingroup members more than outgroup members, as within the US. Japanese participants also anthropomorphized robots more than US participants and treated them more positively than US participants.
Sawyer Collins, Marlena R. Fraune, Kyrie Jig Amon, Eliot R. Smith, Selma Sabanovic
RO-MAN4
2019 Is Human-Robot Interaction More Competitive Between Groups Than Between Individuals?
abstract
As robots, both individually and in groups, become more prevalent in everyday contexts (e.g., schools, workplaces, educational and caregiving institutions), it is possible that they will be perceived as outgroups, or come into competition for resources with humans. Research indicates that some of the psychological effects of intergroup interaction common in humans translate to human-robot interaction (HRI). In this paper, we examine how intergroup competition, like that among humans, translates to HRI. Specifically, we examined how Number of Humans (1, 3) and Number of Robots (1, 3) affect behavioral competition on dilemma tasks and survey ratings of perceived threat, emotion, and motivation (fear, greed, and outperformance). We also examined the effect of perceived group entitativity (i.e., cohesiveness) on competition motivation. Like in social psychological literature, these results indicate that groups of humans (especially entitative groups) showed more greed-based motivation and competition toward robots than individual humans did. However, we did not find evidence that number of robots had an effect on fear-based motivation or competition against them unless the robot groups were perceived as highly entitative. Our data also show the intriguing finding that participants displayed more fear of and competed slightly more against robots that matched their number. Future research should more deeply examine this novel pattern of results compared to one-on-one HRI and typical group dynamics in social psychology.
Marlena R. Fraune, Steven Sherrin, Selma Sabanovic, Eliot R. Smith
HRI4
2017 Threatening Flocks and Mindful Snowflakes: How Group Entitativity Affects Perceptions of Robots
abstract
Robots are expected to become present in society in increasing numbers, yet few studies in human-robot interaction (HRI) go beyond one-to-one interaction to examine how characteristics of robot groups will affect HRI. In particular, people may show more negative or aggressive behavior toward entitative (i.e., cohesive) robot groups, like they do toward entitative human groups, compared to diverse groups. Furthermore, because people in collectivist (e.g., Japan) and individualistic (e.g., US) cultures respond to groups and to cues of entitativity differently, entitative robot groups may affect people differently across such cultures. This study examines how robot Entitativity Condition (Single Robots, Diverse Group, Entitative Group) and Country (USA, Japan) affect emotions toward, mind attributions to, and willingness to interact with robots. Results indicate that Entitative robot groups, compared to Single robots, were viewed more negatively. Entitative robots were also more threatening than Diverse robots. Diverse robot groups, compared to Single robots, were viewed as having more mind, and participants were more willing to interact with them. These findings were similar in the USA and Japan. This indicates that robot group entitativity and diversity is critical to keep in mind when designing robots.
Marlena R. Fraune, Yusaku Nishiwaki, Selma Sabanovic, Eliot R. Smith, Michio Okada
HRI4
2017 Teammates first: Favoring ingroup robots over outgroup humans
abstract
When it's between a robot on your team and a human member of a competing team, who will you favor? Past research indicates that people favor and behave more morally toward ingroup than outgroup members. Conversely, people typically indicate that they have more moral responsibilities toward humans than nonhumans. This study puts participants into two competing teams, each consisting of two humans and two robots, to examine how people behave toward others depending on Group (ingroup, outgroup) and Agent (human, robot) variables. Measures of behavioral aggression used in previous studies (i.e., noise blasts) and reported liking and anthropomorphism evaluations of humans and robots indicated that participants favored the ingroup over the outgroup, and humans over robots. Group had a greater effect than Agent, so participants preferred ingroup robots to outgroup humans.
Marlena R. Fraune, Selma Sabanovic, Eliot R. Smith
RO-MAN3
2015 Rabble of Robots Effects: Number and Form of Robots Modulates Attitudes, Emotions, and Stereotypes
abstract
Robots are expected to become present in society in increasing numbers, yet few studies in human-robot interaction (HRI) go beyond one-to-one interaction to examine how emotions, attitudes, and stereotypes expressed toward groups of robots differ from those expressed toward individuals. Research from social psychology indicates that people interact differently with individuals than with groups. We therefore hypothesize that group effects might similarly occur when people face multiple robots. Further, group effects might vary for robots of different types. In this exploratory study, we used videos to expose participants in a between-subjects experiment to robots varying in Number (Single or Group) and Type (anthropomorphic, zoomorphic, or mechanomorphic). We then measured participants' general attitudes, emotions, and stereotypes toward robots with a combination of measures from HRI (e.g., Godspeed Questionnaire, NARS) and social psychology (e.g., Big Five, Social Threat, Emotions). Results suggest that Number and Type of observed robots had an interaction effect on responses toward robots in general, leading to more positive responses for groups for some robot types, but more negative responses for others.
Marlena R. Fraune, Steven Sherrin, Selma Sabanovic, Eliot R. Smith
HRI4
2014 Are we truly mirrors of emotion? Studies of embodied emotion perception of outgroups
Steven Sherrin, Eliot R. Smith
CogSci2