Etay Todress’s research while affiliated with Reichman University and other places

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Publications (3)


AI bias in Human-Robot Interaction: An evaluation of the Risk in Gender Biased Robots
  • Article

October 2022

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32 Reads

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1 Citation

Tom Hitron

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Etay Todress

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[...]

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Fig. 2. The non-humanoid robotic object, used with permission [46]
AI bias in Human-Robot Interaction: An evaluation of the Risk in Gender Biased Robots
  • Conference Paper
  • Full-text available

August 2022

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456 Reads

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12 Citations

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Citations (2)


... To support the quantitative insights from the subjective measures, several studies utilized various qualitative measurements such as interviews or focus groups (Al Hakim et al., 2023;Engler et al., 2018;Manor et al., 2022;Neggers et al., 2021;Randall et al., 2019;Yamazaki et al., 2023) to gain a more nuanced understanding of user experiences. Others used qualitative long answer questionnaire responses (Engler et al., 2018;Huang et al., 2013;Kruijff-Korbayov� a et al., 2015;Mollen et al., 2023;Syrdal et al., 2013;Takada et al., 2024) about participant interactions with the robot. ...

Reference:

Exploring Emotional Connections: A Systematic Literature Review of Attachment in Human-Robot Interaction
A Non-Humanoid Robotic Object for Providing a Sense Of Security
  • Citing Conference Paper
  • August 2022

... In two pre-registered vignette studies [13,103], we explore employees' reactions to including and excluding behaviors from human or robot coworkers. Contrary to the "Computers Are Social Actors" (CASA) paradigm that assumes the same rules and reactions for human and robot behavior [168,169], we believe it will make a difference whether the behavior stems from a human or robot like it did for social pressure [39,155], self-defense [27], and discriminatory behavior [101]. We assume that the crucial differences will lay in how people explain the behaviors of human or robot coworkers to themselves. ...

AI bias in Human-Robot Interaction: An evaluation of the Risk in Gender Biased Robots