Artificial Emotional Intelligence in Socially Assistive Robots

Artificial Emotional Intelligence (AEI) bridges the gap between humans and machines by demonstrating empathy and affection towards each other. This is achieved by evaluating the emotional state of human users, adapting the machine’s behavior to them, and hence giving an appropriate response to those emotions. AEI is part of a larger field of studies called Affective Computing. Affective computing is the integration of artificial intelligence, psychology, robotics, biometrics, and many more fields of study. The main component in AEI and affective computing is emotion, and how we can utilize emotion to create a more natural and productive relationship between humans and machines. An area in which AEI can be particularly beneficial is in building machines and robots for healthcare applications. Socially Assistive Robotics (SAR) is a subfield in robotics that aims at developing robots that can provide companionship to assist people with social interaction and companionship. For example, residents living in housing designed for older adults often feel lonely, isolated, and depressed; therefore, having social interaction and mental stimulation is critical to improve their well-being. Socially Assistive Robots are designed to address these needs by monitoring and improving the quality of life of patients with depression and dementia. Nevertheless, developing robots with AEI that understand users’ emotions and can reply to them naturally and effectively is in early infancy, and much more research needs to be carried out in this field. This dissertation presents the results of my work in developing a social robot, called Ryan, equipped with AEI for effective and engaging dialogue with older adults with depression and dementia. Over the course of this research there has been three versions of Ryan. Each new version of Ryan is created using the lessons learned after conducting the studies presented in this dissertation. First, two human-robot-interaction studies were conducted showing validity of using a rear-projected robot to convey emotion and intent. Then, the feasibility of using Ryan to interact with older adults is studied. This study investigated the possible improvement of the quality of life of older adults. Ryan the Companionbot used in this project is a rear-projected lifelike conversational robot. Ryan is equipped with many features such as games, music, video, reminders, and general conversation. Ryan engages users in cognitive games and reminiscence activities. A pilot study was conducted with six older adults with early-stage dementia and/or depression living in a senior living facility. Each individual had 24/7 access to a Ryan in his/her room for a period of 4-6 weeks. The observations of these individuals, interviews with them and their caregivers, and analysis of their interactions during this period revealed that they established rapport with the robot and greatly valued and enjoyed having a companionbot in their room. A multi-modal emotion recognition algorithm was developed as well as a multi-modal emotion expression system. These algorithms were then integrated into Ryan. To engage the subjects in a more empathic interaction with Ryan, a corpus of dialogues on different topics were created by English major students. An emotion recognition algorithm was designed and implemented and then integrated into the dialogue management system to empathize with users based on their perceived emotion. This study investigates the effects of this emotionally intelligent robot on older adults in the early stage of depression and dementia. The results of this study suggest that Ryan equipped with AEI is more engaging, likable, and attractive to users than Ryan without AEI. The long-term effect of the last version of Ryan (Ryan V3.0) was studied in a study involving 17 subjects from 5 different senior care facilities. The participants in this study experienced a general improvement in their cognitive and depression scores

Facial Expression Recognition from World Wild Web

Recognizing facial expression in a wild setting has remained a challenging task in computer vision. The World Wide Web is a good source of facial images which most of them are captured in uncontrolled conditions. In fact, the Internet is a Word Wild Web of facial images with expressions. This paper presents the results of a new study on collecting, annotating, and analyzing wild facial expressions from the web. Three search engines were queried using 1250 emotion related keywords in six different languages and the retrieved images were mapped by two annotators to six basic expressions and neutral. Deep neural networks and noise modeling were used in three different training scenarios to find how accurately facial expressions can be recognized when trained on noisy images collected from the web using query terms (e.g. happy face, laughing man, etc)? The results of our experiments show that deep neural networks can recognize wild facial expressions with an accuracy of 82.12%

Rapamycin protects testes against germ cell apoptosis and oxidative stress induced by testicular ischemia-reperfusion

Objective(s):Rapamycin is an immunosuppressant compound with a broad spectrum of pharmaco-logical activities. In recent years, it has been used successfully to decrease ischemia-reperfusion injury in several organ systems. The purpose of the present study was to examine the effect of rapamycin on testicular ischemia-reperfusion injury. Materials and Methods: Seventy-two adult male Wistar rats were divided into six groups: control (group1), sham-operated (Group2), T/D + DMSO as vehicle group (group3), and groups 4–6; respectively received 0.5, 1, and 1.5 mgkg-1 of rapamycin , IP 30 min before detorsion. Ischemia was achieved by twisting the right testis 720o clockwise for 1 hr. The right testis of 6 animals from each group were excised 4 hr after detorsion for the measurement of lipid peroxidation, caspase-3, and antioxidant enzyme activities. Histopathological changes and germ cell apoptosis were determined by measuring mean of seminiferous tubules diameters (MSTD) and TUNEL test in right testis of 6 animals per group, 24 hr after detorsion. Results: Testicular T/D caused increases in the apoptosis, malondialdehyde (MDA), and caspase-3 levels and decreases in the superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GPx) activities in ipsilateral testis (

HYSSOP and POLIUM could help to prevent COVID-19 in high-risk population: The results of a parallel randomized placebo-controlled field trial

243-253This study was conducted to evaluate the effect of HYSSOP (composed of Hyssopus officinalis L., Echium amoenum Fisch & C. A. Mey and Glycyrrhiza glabra L.) and POLIUM (contained Teucrium polium L., Cuscuta epithymum Murr and Cichorium intybus L.) combined distilled herbal medicines compared to placebo in the prevention of COVID-19. This is a double-blind parallel placebo-controlled field trial conducted on 751 asymptomatic individuals whose one of the family members recently had a positive RT-PCR test for COVID-19. They were divided into three groups including POLIUM, HYSSOP and placebo using random blocks with a 1:1:1 allocation ratio. Participants received daily 5 cc (under 12 years) or 10 cc (over 12 years) of allocated oral medications for 20 days. The primary outcome was the frequency of positive RT-PCR test among participants who became symptomatic. The mean age of participants was 36.6. Nineteen participants get infected by COVID-19 during the intervention; fifteen of them belonged to the placebo and four to the POLIUM group. Fisher's exact test indicated significant differences between HYSSOP and placebo (p<0.001) as well as POLIUM and placebo (p=0.009) groups in terms of COVID-19 confirmed by PCR tests. Cox regression model adjusted for confounders illustrated that the hazard of getting infection by COVID-19 in POLIUM and HYSSOP groups decreased by 66% (OR (95% CI): 0.34 (0.12 to 0.94); p=0.038) and 93% (OR (95% CI): 0.07 (0.01to 0.56); p=0.012) respectively, compared to placebo .Oral administration of HYSSOP and POLIUM with the other supportive health care could decrease the risk of getting COVID-19

Role of Embodiment and Presence in Human Perception of Robots’ Facial Cues

Both robotic and virtual agents could one day be equipped with social abilities necessary for effective and natural interaction with human beings. Although virtual agents are relatively inexpensive and flexible, they lack the physical embodiment present in robotic agents. Surprisingly, the role of embodiment and physical presence for enriching human-robot-interaction is still unclear. This paper explores how these unique features of robotic agents influence three major elements of human-robot face-to-face communication, namely the perception of visual speech, facial expression, and eye-gaze. We used a quantitative approach to disentangle the role of embodiment from the physical presence of a social robot, called Ryan, with three different agents (robot, telepresent robot, and virtual agent), as well as with an actual human. We used a robot with a retro-projected face for this study, since the same animation from a virtual agent could be projected to this robotic face, thus allowing comparison of the virtual agent’s animation behaviors with both telepresent and the physically present robotic agents. The results of our studies indicate that the eye gaze and certain facial expressions are perceived more accurately when the embodied agent is physically present than when it is displayed on a 2D screen either as a telepresent or a virtual agent. Conversely, we find no evidence that either the embodiment or the presence of the robot improves the perception of visual speech, regardless of syntactic or semantic cues. Comparison of our findings with previous studies also indicates that the role of embodiment and presence should not be generalized without considering the limitations of the embodied agents

A Case of Solitary Neurofibroma in Outer Surface of Nose

Solitary neurofibroma is a benign tumor originating from Schwann cells in peripheral nerves. In an investigation of 430000 pathologic samples, only 6 cases of neurofibroma had been reported in nose and paranasal sinuses. Present patient was a 15-year-old girl with left-sided nasal and malar mass, whose CT scan and MRI showed a non-circumscribed solid mass with total thickness affecting outer part of nose in left side as well as surface and deep soft tissue. The mentioned mass underwent excision by sub-labial incision and open rhinoplasty keeping infra-orbit nerve intact. Pathologic investigation of samples showed adipose fibroblast and skeletal muscle fibers with proliferation of spindle-shaped cells and staining was negative for GFAP and positive for S-100 which represents diagnosis of neurofibroma. Main differential diagnoses of benign tumors of paranasal sinuses and nasal cavity include neurofibroma, fibroma, leiomyomas, papilloma, and schwannoma. After resection tumor should be precisely monitored, since there is malignant transformation possibility in solitary neurofibromas

Phytochemical Analysis and Cytotoxicity Evaluation of Kelussia odoratissima Mozaff.

Background: Kelussia odoratissima Mozaff. (Apiaceae) is an edible, indigenous, and ethnomedicinal plant that grows only in Iran. Although antioxidant and anti-inflammatory properties of K. odoratissima have been reported, cytotoxic activity of this plant has not been investigated previously. Objective: This study aims to evaluate the cytotoxicity of K. odoratissima leaf extract against a panel of human cancer cell lines. A secondary aim was to perform a phytochemical analysis of the plant’s leaf oil. Methods: To extract the plant oil, dried leaves were subjected to hydrodistillation using a Clevenger-type apparatus for up to 3 hours. For the phytochemical analysis, essential oil was subjected to gas chromatography/mass spectrometry. Plant extraction was performed by macerating leaf powder of K. odoratissima (50 g) in 70% methanol (500 mL) at room temperature (25–28°C) for 24 hours. To perform cytotoxicity assays, methanolic extract of K. odoratissima was tested against a panel of cell lines including MDA-MB468 (human breast cancer cell line), K562 (human leukemia cell line), SKOV3 (human ovarian cancer cell line), Y79 (human eye cancer cell line), A549 (lung cancer cell line), and HEK 293 (normal human embryonic kidney cell line). Results: Gas chromatography/mass spectrometry analysis revealed that sesquiterpens are dominant volatile components of the plant, followed by phthalides comprising 3-butyldine phthalide and 3-n-butyl phthalide, the latter compound being the major component of the leaf oil (25.1%). The leaf extract showed selective and dose-dependent cytotoxicity against MDA-MB468, K562, SKOV3, Y79, and A549 cancer cell lines with IC50 values (concentration that inhibits cell growth by 50%) of 85 μg/mL, 70 μg/mL, 120 μg/mL, 82 μg/mL, and145 μg/mL, respectively. Conclusions: The present results suggest a direct cytotoxic activity of K. odoratissima leaf extract against human cancer cell lines. This activity of K. odoratissima may find application in combination with traditional herbal medicines to develop a new anticancer pharmacopuncture therapy