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8 results on '"Lucas, Gale"'

1. Emergency Evacuation VR Validation Study

Author

Wagner, Alan, Holbrook, Colin, Holman, Daniel, Lucas, Gale, Mollik Nayyar, and Yinxuan Yin

Subjects
FOS: Psychology, Engineering, Psychology, Experimental Analysis of Behavior, Robotics, Computer Engineering, Social and Behavioral Sciences
Abstract

This study compares the data collected from a in-person physical robot-guided emergency evacuation human subject study to an identical study performed in virtual reality (VR). The study involved having human subjects follow a robot to a cubicle in an office environment. Subjects were asked to read a paper in the cubicle. While reading the article an alarm is sounded prompting the subject to evacuate. The guide robot directs the subject to a distant exit, which is not the entrance/exit the subject used to arrive at the experiment.

Published
2023
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2. Study 8: Cross Validation Final Questionnaire Set

Author

Fitrianie, Siska, Brinkman, Willem-Paul, Bruijnes, Merijn, Abdulrahman, Amal, Li, Fengxiang, Baraka, Kim, van den Berghe, Rianne, Bernardet, Ulysses, Bosse, Tibor, Brazier, Frances, Browne, Jacob, Burger, Franziska, Chollet, Mathieu, Clark, Leigh, Cowan, Benjamin, Daher, Salam, Ding, Ding, Foerster, Frank, Gilmartin, Emer, Jonker, Catholijn, de Haas, Mirjam, Hashemian, Mojgan, Heyselaar, Evelien, Kim, Kangsoo, Koelle, Marion, Kuhnert, Barbara, Lindner, Felix, Linssen, Jeroen, Lucas, Gale, Lun, Wang, Martens, Chris, Molnár, Bálint, Norouzi, Nahal, Bierbach, Catharine, Pelachaud, Catherine, Richards, Deborah, Silvervarg, Annika, Tielman, Myrthe, Yalçın, Özge, Rajanen, Dorina, Lisetti, Christine, Rodriguez Lera, Francisco, Kunold, Laura, Morgan, Jay, Wächter, Laura, Ham, Jaap, Yasir, Muhammad, Kalvas, František, Barakova, Emilia, akalin, neziha, GHAZALI, AIMI, Alonso, Victoria, Kocaballi, A., Parthemore, Joel, Guerrero, Esteban, Neff, Michael, Torre, Ilaria, Beun, Robbert, Magyar, Gergely, Belhassein, Kathleen, hall, lynne, Kristoffersson, Annica, Olafsson, Stefan, de Vries, Roelof, van Waterschoot, Jelte, Zaga, Zaga, Cristina, Cristina, Charrier, Laurianne, Yacoubi, Alya, Roper, Abi, abdulrahman, amal, Zalake, Mohan, Carnell, Stephanie, Hindriks, Koen, Roohi, Samad, Ligthart, Mike, Sirocki, Jeffrey, Bönsch, Andrea, Howcroft, David, Ochs, Hudlicka, Eva, Gnewuch, Ulrich, Gunson, Nancie, Jingar, Monika, Hartmann, Tilo, van Miltenburg, Emiel, Cox, Samuel, Richards, Byronie, Kucherenko, Taras, Jonell, Patrik, Vilhjálmsson, Hannes, Wolfert, Pieter, Ranjbartabar, Hedieh, Wang, Isaac, Kun, Peter, Wicke, Philipp, HE, Yuan, Simoens, Pieter, Biancardi, Beatrice, Zibrek, Katja, McCoy, Joshua, Tsfasman, Maria, Vossen, Piek, Ribeiro, Tiago, Krause, Lea, Beinema, Tessa, and Curtis, Cassidy

Subjects
Virtual Agent, User Study, Artificial Intelligence and Robotics, Computer Sciences, Questionnaire, Graphics and Human Computer Interfaces, Physical Sciences and Mathematics, Robotics, Evaluation Instruments, Intelligent Agent
Abstract

In this study, we determine the generalization performance of the long and short questionnaire version (i.e. cross validation: fit model on data set from a new set of ASAs). It involves crowd workers on an online platform. They will be asked to use the questionnaire instrument to rate an interaction between an agent and a human user, which is displayed in a 30 second video clip.

Published
2022
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3. Study 1: Defining Categories

Author

Fitrianie, Siska, Baraka, Kim, van den Berghe, Rianne, Bernardet, Ulysses, Bosse, Tibor, Brazier, Frances, Brinkman, Willem-Paul, Browne, Jacob, Bruijnes, Merijn, Burger, Franziska, Chollet, Mathieu, Clark, Leigh, Cowan, Benjamin, Daher, Salam, Ding, Ding, Foerster, Frank, Gilmartin, Emer, Jonker, Catholijn, de Haas, Mirjam, Hashemian, Mojgan, Heyselaar, Evelien, Kim, Kangsoo, Koelle, Marion, Kuhnert, Barbara, Lindner, Felix, Linssen, Jeroen, Lucas, Gale, Lun, Wang, Martens, Chris, Molnár, Bálint, Norouzi, Nahal, Bierbach, Catharine, Pelachaud, Catherine, Richards, Deborah, Silvervarg, Annika, Tielman, Myrthe, Yalçın, Özge, Rajanen, Dorina, Lisetti, Christine, Rodriguez Lera, Francisco, Kunold, Laura, Morgan, Jay, Wächter, Laura, Ham, Jaap, Yasir, Muhammad, Kalvas, František, Barakova, Emilia, akalin, neziha, GHAZALI, AIMI, Harth, Jonathan, Casals, Arthur, Alonso, Victoria, Kocaballi, A., Parthemore, Joel, Guerrero, Esteban, Neff, Michael, Torre, Ilaria, Beun, Robbert, Magyar, Gergely, Belhassein, Kathleen, hall, lynne, Kristoffersson, Annica, and Olafsson, Stefan

Subjects
Virtual Agent, Expert review, User Study, Questionnaire, Robotics, Evaluation Instruments, Questionnaire's categories, Intelligent Agent
Abstract

A study that involves experts to group existing constructs into a set of categories (based on Evaluation Instrument Model 4). This study aims to investigate whether or not we have covered all aspects that people (based on the previous research) aim to measure in evaluating human interaction with a social agent.

Published
2022
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4. Study 6: Analysing Reliability of Questionnaire Items

Author

Fitrianie, Siska, Brinkman, Willem-Paul, Bruijnes, Merijn, Baraka, Kim, van den Berghe, Rianne, Bernardet, Ulysses, Bosse, Tibor, Brazier, Frances, Browne, Jacob, Burger, Franziska, Chollet, Mathieu, Clark, Leigh, Cowan, Benjamin, Daher, Salam, Ding, Ding, Foerster, Frank, Gilmartin, Emer, Jonker, Catholijn, de Haas, Mirjam, Hashemian, Mojgan, Heyselaar, Evelien, Kim, Kangsoo, Koelle, Marion, Kuhnert, Barbara, Lindner, Felix, Linssen, Jeroen, Lucas, Gale, Lun, Wang, Martens, Chris, Molnár, Bálint, Norouzi, Nahal, Bierbach, Catharine, Pelachaud, Catherine, Richards, Deborah, Silvervarg, Annika, Tielman, Myrthe, Yalçın, Özge, Rajanen, Dorina, Lisetti, Christine, Rodriguez Lera, Francisco, Kunold, Laura, Morgan, Jay, Wächter, Laura, Ham, Jaap, Yasir, Muhammad, Kalvas, František, Barakova, Emilia, akalin, neziha, GHAZALI, AIMI, Alonso, Victoria, Kocaballi, A., Parthemore, Joel, Guerrero, Esteban, Neff, Michael, Torre, Ilaria, Beun, Robbert, Magyar, Gergely, Belhassein, Kathleen, hall, lynne, Kristoffersson, Annica, Olafsson, Stefan, de Vries, Roelof, van Waterschoot, Jelte, Zaga, Zaga, Cristina, Cristina, Charrier, Laurianne, Yacoubi, Alya, Roper, Abi, abdulrahman, amal, Zalake, Mohan, Nijssen, Sari, Carnell, Stephanie, Hindriks, Koen, Roohi, Samad, Ligthart, Mike, Sirocki, Jeffrey, Bönsch, Andrea, Howcroft, David, Ochs, Hudlicka, Eva, Gnewuch, Ulrich, Gunson, Nancie, Jingar, Monika, Hartmann, Tilo, Li, Fengxiang, van Miltenburg, Emiel, Cox, Samuel, Richards, Byronie, Kucherenko, Taras, Jonell, Patrik, Vilhjálmsson, Hannes, Wolfert, Pieter, Ranjbartabar, Hedieh, Wang, Isaac, Kun, Peter, and Wicke, Philipp

Subjects
Virtual Agent, User Study, Artificial Intelligence and Robotics, Computer Sciences, Questionnaire, ComputerApplications_MISCELLANEOUS, Graphics and Human Computer Interfaces, Physical Sciences and Mathematics, Robotics, Evaluation Instruments, Intelligent Agent
Abstract

This research is the first study into the validation of the questionnaire instrument for evaluating human interaction with an artificial social agent. It involves crowd workers on an online crowdsourcing platform. They will be asked to use the questionnaire instrument to rate an interaction between an agent and a human user, which is displayed in a 30 second video clip. The result of this study will be analysed and used to examine the reliability of individual questionnaire items in the questionnaire instrument.

Published
2022
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5. Study 7: Confirmatory Factor Analysis

Author

Fitrianie, Siska, Brinkman, Willem-Paul, Bruijnes, Merijn, Baraka, Kim, van den Berghe, Rianne, Bernardet, Ulysses, Bosse, Tibor, Brazier, Frances, Browne, Jacob, Burger, Franziska, Chollet, Mathieu, Clark, Leigh, Cowan, Benjamin, Daher, Salam, Ding, Ding, Foerster, Frank, Gilmartin, Emer, Jonker, Catholijn, de Haas, Mirjam, Hashemian, Mojgan, Heyselaar, Evelien, Kim, Kangsoo, Koelle, Marion, Kuhnert, Barbara, Lindner, Felix, Linssen, Jeroen, Lucas, Gale, Lun, Wang, Martens, Chris, Molnár, Bálint, Norouzi, Nahal, Bierbach, Catharine, Pelachaud, Catherine, Richards, Deborah, Silvervarg, Annika, Tielman, Myrthe, Yalçın, Özge, Rajanen, Dorina, Lisetti, Christine, Rodriguez Lera, Francisco, Kunold, Laura, Morgan, Jay, Wächter, Laura, Ham, Jaap, Yasir, Muhammad, Kalvas, František, Barakova, Emilia, akalin, neziha, GHAZALI, AIMI, Alonso, Victoria, Kocaballi, A., Parthemore, Joel, Guerrero, Esteban, Neff, Michael, Torre, Ilaria, Beun, Robbert, Magyar, Gergely, Belhassein, Kathleen, hall, lynne, Kristoffersson, Annica, Olafsson, Stefan, de Vries, Roelof, van Waterschoot, Jelte, Zaga, Zaga, Cristina, Cristina, Charrier, Laurianne, Yacoubi, Alya, Roper, Abi, abdulrahman, amal, Zalake, Mohan, Nijssen, Sari, Carnell, Stephanie, Hindriks, Koen, Roohi, Samad, Ligthart, Mike, Sirocki, Jeffrey, Bönsch, Andrea, Howcroft, David, Ochs, Hudlicka, Eva, Gnewuch, Ulrich, Gunson, Nancie, Jingar, Monika, Hartmann, Tilo, Li, Fengxiang, van Miltenburg, Emiel, Cox, Samuel, Richards, Byronie, Kucherenko, Taras, Jonell, Patrik, Vilhjálmsson, Hannes, Wolfert, Pieter, Wang, Isaac, Ranjbartabar, Hedieh, Kun, Peter, Wicke, Philipp, HE, Yuan, Simoens, Pieter, Biancardi, Beatrice, and Zibrek, Katja

Subjects
Virtual Agent, User Study, Artificial Intelligence and Robotics, Computer Sciences, Questionnaire, ComputerApplications_MISCELLANEOUS, Graphics and Human Computer Interfaces, Physical Sciences and Mathematics, Robotics, Evaluation Instruments, Intelligent Agent
Abstract

This research is the second study into the validation of the questionnaire instrument for evaluating human interaction with an artificial social agent. It involves crowd workers on an online crowdsourcing platform. They will be asked to use the questionnaire instrument to rate an interaction between an agent and a human user, which is displayed in a 30 second video clip. The result of this study will be analysed and used to examine the associations of questionnaire items with the latent constructs, i.e. construct validity.

Published
2022
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6. Study 2: Defining Constructs

Author

Fitrianie, Siska, Brinkman, Willem-Paul, Bruijnes, Merijn, Baraka, Kim, van den Berghe, Rianne, Bernardet, Ulysses, Bosse, Tibor, Brazier, Frances, Browne, Jacob, Ochs, Hudlicka, Eva, Gnewuch, Ulrich, Burger, Franziska, Chollet, Mathieu, Clark, Leigh, Cowan, Benjamin, Daher, Salam, Ding, Ding, Foerster, Frank, Gilmartin, Emer, Jonker, Catholijn, Ligthart, Mike, Sirocki, Jeffrey, Bönsch, Andrea, Howcroft, David, de Haas, Mirjam, Hashemian, Mojgan, Heyselaar, Evelien, Kim, Kangsoo, Koelle, Marion, Kuhnert, Barbara, Lindner, Felix, Linssen, Jeroen, Lucas, Gale, Lun, Wang, Martens, Chris, Molnár, Bálint, Norouzi, Nahal, Bierbach, Catharine, Pelachaud, Catherine, Richards, Deborah, Silvervarg, Annika, Tielman, Myrthe, Yalçın, Özge, Rajanen, Dorina, Lisetti, Christine, Rodriguez Lera, Francisco, Kunold, Laura, Morgan, Jay, Wächter, Laura, Ham, Jaap, Yasir, Muhammad, Kalvas, František, Hindriks, Koen, Roohi, Samad, Charrier, Laurianne, Yacoubi, Alya, Roper, Abi, abdulrahman, amal, Zalake, Mohan, Nijssen, Sari, Carnell, Stephanie, Barakova, Emilia, akalin, neziha, GHAZALI, AIMI, Casals, Arthur, Alonso, Victoria, Kocaballi, A., Parthemore, Joel, Guerrero, Esteban, Neff, Michael, Torre, Ilaria, Beun, Robbert, Magyar, Gergely, Belhassein, Kathleen, hall, lynne, Kristoffersson, Annica, Olafsson, Stefan, de Vries, Roelof, van Waterschoot, Jelte, Zaga, Zaga, Cristina, and Cristina

Subjects
Virtual Agent, User Study, Questionnaire, Robotics, Evaluation Instruments, Intelligent Agent
Abstract

A study that involves experts to organize constructs (within seven categories resulted in the Study 1: Defining Categories) into groups.

Published
2022
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7. A multidimensional taxonomy for human-robot interaction in construction.

Author

Rodrigues, Patrick B., Singh, Rashmi, Oytun, Mert, Adami, Pooya, Woods, Peter J., Becerik-Gerber, Burcin, Soibelman, Lucio, Copur-Gencturk, Yasemin, and Lucas, Gale M.

Subjects
*HUMAN-robot interaction, *TAXONOMY, *INDUSTRIAL robots, *ROBOTICS, *CONSTRUCTION industry
Abstract

Despite the increased interest in construction robotics both in academia and the industry, insufficient attention has been given to aspects related to Human-Robot Interaction (HRI). Characterizing HRI for construction tasks can help researchers organize knowledge in a structured manner that allows for classifying construction robotics applications and comparing and benchmarking different studies. This paper builds upon existing taxonomies and empirical studies in HRI in various industries (e.g., construction, manufacturing, and military, among others) to propose a multidimensional taxonomy to characterize HRI applications in the construction industry. The taxonomy design followed a systematic literature review in which common themes were identified and grouped into 16 categories. The proposed taxonomy can be used as a foundation for systematic reviews and meta-analyses of HRI applications in construction and can benefit the construction industry by informing the design of collaborative tasks performed by human-robot teams. • Construction automation and robotics have drawn increasing attention in the past decades. • Existing Human-Robot Interaction taxonomies are limited for construction studies. • The taxonomy includes team, task, and environment factors in construction robotics. • The taxonomy more appropriately characterizes construction robotics applications. [ABSTRACT FROM AUTHOR]

Published
2023
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8. Effectiveness of VR-based training on improving construction workers' knowledge, skills, and safety behavior in robotic teleoperation.

Author

Adami, Pooya, Rodrigues, Patrick B., Woods, Peter J., Becerik-Gerber, Burcin, Soibelman, Lucio, Copur-Gencturk, Yasemin, and Lucas, Gale

Subjects
*CONSTRUCTION workers, *KNOWLEDGE workers, *REMOTE control, *ROBOTICS, *DEMOLITION, *BUILDING design & construction
Abstract

The emergence of construction robotics and automation has produced an urgent and vast need for construction workers to reskill and upskill for the future of work. Virtual Reality (VR)-based training has been considered and investigated as a safe and cost-effective training method that allows workers to be exposed to hazardous tasks with negligible actual safety risks in comparison to existing training methods (hands-on, lecture-based, apprenticeship training). This paper aims to investigate the impact of VR-based training on construction workers' knowledge acquisition, operational skills, and safety behavior during robotic teleoperation compared to the traditional in-person training method. Fifty construction workers were randomly assigned to complete either VR-based or in-person training for operating a demolition robot. We used quantitative and qualitative data analyses to answer our research questions. Our results indicate that VR-based training was associated with a significant increase in knowledge, operational skills, and safety behavior compared to in-person training. Our findings suggest that VR-based training not only provides a viable and effective option for future training programs but a valuable option for construction robotics safety and skill training. [ABSTRACT FROM AUTHOR]

Published
2021
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