Researcher:
Obaid, Mohammad

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Undergraduate Student

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Mohammad

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Obaid

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Obaid, Mohammad

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20169

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Researcher Of Publications: search.filters.isAuthorOfPublication.16697aca-16c5-455b-881b-9fa2f2a7c455

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Now showing 1 - 9 of 9
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    A fuzzy data-based model for Human-Robot Proxemics
    (2016) Kosinski, Tomasz; Wozniak, Pawel W.; Fjeld, Morten; Kucharski, Jacek; Department of Mechanical Engineering; Obaid, Mohammad; Undergraduate Student; Department of Mechanical Engineering; KU Arçelik Research Center for Creative Industries (KUAR) / KU Arçelik Yaratıcı Endüstriler Uygulama ve Araştırma Merkezi (KUAR); College of Engineering; N/A
    This work aims at bringing empirical knowledge on Human-Robot Interaction obtained from user studies closer to being integrated into the capabilities of robots currently available on the market. The Takagi-Sugeno-Kang method and results of a user study conducted with thirty two participants were used to build a fuzzy data-based model for Human-Robot Proxemics. The experiment investigated the effect of robot approach distance and angle on perceived human comfort. The proposed model, consisting of a set of rules, fuzzy sets and their parameters, can be used by the robotics community thanks to their formal form. It can also be directly translated into natural language statements. Results of model cross-validation are reported.
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    Probing human-soundscape interaction using observational user experience methods
    (Assoc Computing Machinery, 2016) N/A; Department of Mechanical Engineering; Department of Media and Visual Arts; Yücetürk, Selman; Obaid, Mohammad; Yantaç, Asım Evren; Master Student; Undergraduate Student; Faculty Member; Department of Mechanical Engineering; Department of Media and Visual Arts; Graduate School of Social Sciences and Humanities; College of Engineering; College of Social Sciences and Humanities; N/A; N/A; 52621
    Sound, whose perception depends on spatial, temporal and cognitive factors, is an intangible issue within interaction design. It is not very easy for interaction designers to explore, understand, or ideate on this intangible and complex phenomenon as they mostly rely on visual language, sketches, or physical prototypes. In this paper, we present initial insights to the design of an interactive mediated sound reality system, which refines the users' interaction with a soundscape. The main contribution of this study is the insights gathered through the use of three observational user experience (UX) methods: (1) note-taking in soundwalks; (2) soundscape visualization; (3) auditory journey maps to overcome the above-mentioned difficulty in rationalizing the intangibility of human-soundscape interaction with focusing, recording and reflecting spatial, temporal and interactive aspects of soundscape.
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    Investigating effects of professional status and ethnicity i Human-Agent interaction
    (Association for Computing Machinery (ACM), 2016) Salem, Maha; Ziadee, Micheline; Boukaram, Halim; Moltchanova, Elena; Sakr, Majd; Department of Mechanical Engineering; Obaid, Mohammad; Undergraduate Student; Department of Mechanical Engineering; KU Arçelik Research Center for Creative Industries (KUAR) / KU Arçelik Yaratıcı Endüstriler Uygulama ve Araştırma Merkezi (KUAR); College of Engineering; N/A
    We present a study involving 160 participants investigating the effect of associating professional status and ethnicity with an agent by manipulating its appearance, language, and level of education. We aim to discern perceptions of status and ethnicity with respect to participants' cultural background by inviting participants from two different cultural groups (Middle Eastern and Western) to take part in our study. Results revealed that participants' cultural background had a strong impact on their ratings of the agent and its message. However, neither the agent's portrayed status nor its ethnicity appeared to have an effect on participants' perceptions of the agent. We further found that participants from both cultural backgrounds holding a negative attitude towards robots in general tend to perceive the presented message by the agent more negatively. Middle Eastern participants had a more positive attitude towards robotic agents than Western participants, which might have been the main influence on their perception of the message presented by the agent. In addition, participants who identified the agent as a member of their own cultural group perceived the presented message more positively than those from the other cultural group. We discuss our results with an intention to inform design implications for agents in a cross-cultural context.
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    Using crowdsourcing for scientific analysis of industrial tomographic images
    (Association for Computing Machinery (ACM), 2016) Chen, Chen; Wozniak, Pawel W.; Romanowski, Andrzej; Jaworski, Tomasz; Kucharski, Jacek; Grudzien, Krzysztof; Zhao, Shengdong; Fjeld, Morten; Department of Mechanical Engineering; Obaid, Mohammad; Undergraduate Student; Department of Mechanical Engineering; KU Arçelik Research Center for Creative Industries (KUAR) / KU Arçelik Yaratıcı Endüstriler Uygulama ve Araştırma Merkezi (KUAR); College of Engineering; N/A
    In this article, we present a novel application domain for human computation, specifically for crowdsourcing, which can help in understanding particle-tracking problems. Through an interdisciplinary inquiry, we built a crowdsourcing system designed to detect tracer particles in industrial tomographic images, and applied it to the problem of bulk solid flow in silos. As images from silo-sensing systems cannot be adequately analyzed using the currently available computational methods, human intelligence is required. However, limited availability of experts, as well as their high cost, motivates employing additional nonexperts. We report on the results of a study that assesses the task completion time and accuracy of employing nonexpert workers to process large datasets of images in order to generate data for bulk flow research. We prove the feasibility of this approach by comparing results from a user study with data generated from a computational algorithm. The study shows that the crowd is more scalable and more economical than an automatic solution. The system can help analyze and understand the physics of flow phenomena to better inform the future design of silos, and is generalized enough to be applicable to other domains.
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    Hapticolor: interpolating color information as haptic feedback to assist the colorblind
    (Assoc Computing Machinery, 2016) Carcedo, Marta G.; Chua, Soon Hau; Perrault, Simon; Wozniak, Pawel; Joshi, Raj; Fjeld, Morten; Zhao, Shengdong; Department of Mechanical Engineering; Obaid, Mohammad; Undergraduate Student; Department of Mechanical Engineering; KU Arçelik Research Center for Creative Industries (KUAR) / KU Arçelik Yaratıcı Endüstriler Uygulama ve Araştırma Merkezi (KUAR); College of Engineering; N/A
    Most existing colorblind aids help their users to distinguish and recognize colors but not compare them. We present HaptiColor, an assistive wristband that encodes discrete color information into spatiotemporal vibrations to support colorblind users to recognize and compare colors. We ran three experiments: the first found the optimal number and placement of motors around the wrist-worn prototype, and the second tested the optimal way to represent discrete points between the vibration motors. Results suggested that using three vibration motors and pulses of varying duration to encode proximity information in spatiotemporal patterns is the optimal solution. Finally, we evaluated the HaptiColor prototype and encodings with six colorblind participants. Our results show that the participants were able to easily understand the encodings and perform color comparison tasks accurately (94.4% to 100%).
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    Stop! That is close enough. How body postures influence human-robot proximity
    (Institute of Electrical and Electronics Engineers (IEEE), 2016) Sandoval, Eduardo B.; Zlotowski, Jakub; Moltchanova, Elena; Basedow, Christina A.; Bartneck, Christoph; Department of Mechanical Engineering; Obaid, Mohammad; Undergraduate Student; Department of Mechanical Engineering; College of Engineering; N/A
    In this paper we present a study that investigates human-robot interpersonal distances and the influence of posture, either sitting or standing on the interpersonal distances. The study is based on a human approaching a robot and a robot approaching a human, in which the human/robot maintain either a sitting or standing posture while being approached. We collected and analysed data from twenty-two participants and the results revealed that robot posture has a significant impact on the interpersonal distances in human-robot interactions. Previous interactions with a robot, and lower negative attitudes towards robots also impacted interpersonal distances. Although the effects of gender, height and age did not yield significant results, we discuss their influence on the interpersonal distances between humans and robots and how they are of interest for future research. We present design implications for human-robot interaction research and humanoid robot design.
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    APEOW: a personal persuasive avatar for hncouraging breaks in office work
    (IEEE, 2016) Kucharski, Przemyslaw; Luczak, Piotr; Perenc, Izabela; Jaworski, Tomasz; Romanowski, Andrzej; Wozniak, Pawel W.; Department of Mechanical Engineering; Obaid, Mohammad; Undergraduate Student; Department of Mechanical Engineering; KU Arçelik Research Center for Creative Industries (KUAR) / KU Arçelik Yaratıcı Endüstriler Uygulama ve Araştırma Merkezi (KUAR); College of Engineering; N/A
    Proper break taking during office work iss necessary to prevent musculoskeletal disorders and reduce the risk of heart disease. We present APOEW an avatar for preventing continuous office work without taking breaks. APOEW is a system that uses a personalized robot avatar to encourage proper break behaviour during office work. The avatar signals the need for a break by stooping. The system was designed to be unobtrusive and blend well with the office environment. The avatars are customisable in order to enable users to design their work environment freely. We conducted a user study where we observed developers working in front of their computers next to the avatar. Preliminary results indicate it has no negative impact on the work environment and users are intrigued by the system. Moreover, a survey on attitude to our concept reveals interesting and positive feedback that will help to develop an APOEW system further.
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    The future of books and reading in HCI
    (Association for Computing Machinery (ACM), 2016) Wozniak, Pawel W.; Lischke, Lars; Billinghurst, Mark; Department of Mechanical Engineering; Department of Media and Visual Arts; Obaid, Mohammad; Alaca, Ilgım Veryeri; Undergraduate Student; Faculty Member; Department of Mechanical Engineering; Department of Media and Visual Arts; College of Engineering; College of Social Sciences and Humanities; N/A; 50569
    Technology is fundamentally changing the reading experience and book design. While the invention of industry-scale printing transformed books into a mass product, interactive technology enables new types of engagement during reading. Books can have multifarious form factors; their visual representation can change in accordance to the environment and user needs. The aim of the workshop is to discuss emerging interactive book-related technologies (e.g. Augmented Reality or Tangible Interfaces) and elaborate on methodologies that can be used to evaluate content and the interplay between form and content. The workshop will investigate how novel technologies can inspire, support and enrich the reading experience.
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    Robo2Box: a toolkit to elicit children's design requirements for classroom robots
    (Springer-Verlag Berlin, 2016) Barendregt, Wolmet; Department of Mechanical Engineering; Department of Media and Visual Arts; N/A; Department of Psychology; Obaid, Mohammad; Yantaç, Asım Evren; Kırlangıç, Güncel; Göksun, Tilbe; Undergraduate Student; Faculty Member; Master Student; Faculty Member; Department of Mechanical Engineering; Department of Media and Visual Arts; Department of Psychology; KU Arçelik Research Center for Creative Industries (KUAR) / KU Arçelik Yaratıcı Endüstriler Uygulama ve Araştırma Merkezi (KUAR); College of Engineering; College of Social Sciences and Humanities; Graduate School of Social Sciences and Humanities; College of Social Sciences and Humanities; N/A; 52621; N/A; 47278
    We describe the development and first evaluation of a robot design toolkit (Robo2Box) aimed at involving children in the design of classroom robots. We first describe the origins of the Robo2Box elements based on previous research with children and interaction designers drawing their preferred classroom robots. Then we describe a study in which 31 children created their own classroom robot using the toolkit. We present children’s preferences based on their use of the different elements of the toolkit, compare their designs with the drawings presented in previous research, and suggest changes for improvement of the toolkit.