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Ai And The Future Of Work: What We Know Today, Steven M. Miller, Thomas H. Davenport
Ai And The Future Of Work: What We Know Today, Steven M. Miller, Thomas H. Davenport
Research Collection School Of Computing and Information Systems
To contribute to a better understanding of the contemporary realities of AI workplace deployments, the authors recently completed 29 case studies of people doing their everyday work with AI-enabled smart machines. Twenty-three of these examples were from North America, mostly in the US. Six were from Southeast Asia, mostly in Singapore. In this essay, we compare our findings on job and workplace impacts to those reported in the MIT Task Force on the Work of the Future report, as we consider that to be the most comprehensive recent study on this topic.
A Qualitative Evaluation Of Smu’S Peer Helpers Programme, Loon Beng Angela Koh, Michelle Lf Cheong
A Qualitative Evaluation Of Smu’S Peer Helpers Programme, Loon Beng Angela Koh, Michelle Lf Cheong
Research Collection School Of Computing and Information Systems
This study examines the impact of peer helper training in Singapore Management University (SMU) from personal interviews with 11 alumni peer helpers. The aims are to find a) new evidence of benefits and innovative practice that support peer helper learning, university life and employability and b) to enhance curriculum and training. All opinions in the sentiment analysis were positive. The content analysis revealed developing external partnerships, exploring certification and engaging in internationalisation to enhance curriculum, training and practice at the organisational level. At the programme level, the suggestions were to better relate peer helping to future readiness.
Performance-Based Iadl Evaluation Of Older Adults With Cognitive Impairment Within A Smart Home: A Feasibility Study, Iris Rawtaer, Khalid Abdul Jabbar, Xiao Liu, Thit Thit Htat Ying, Anh Thuy Giang, Philip Lin Kiat Yap, Rachel Chin Yee Cheong, Hwee-Pink Tan, Pius Lee Wei Qi, Shiou Liang Wee, Tze Pin Ng
Performance-Based Iadl Evaluation Of Older Adults With Cognitive Impairment Within A Smart Home: A Feasibility Study, Iris Rawtaer, Khalid Abdul Jabbar, Xiao Liu, Thit Thit Htat Ying, Anh Thuy Giang, Philip Lin Kiat Yap, Rachel Chin Yee Cheong, Hwee-Pink Tan, Pius Lee Wei Qi, Shiou Liang Wee, Tze Pin Ng
Research Collection School Of Computing and Information Systems
Introduction Mild cognitive impairment (MCI) is characterized by subtle deficits that functional assessment via informant-report measures may not detect. Sensors can potentially detect deficits in everyday functioning in MCI. This study aims to establish feasibility and acceptability of using sensors in a smart home for performance-based assessments of two instrumental activities of daily living (IADLs). Methods Thirty-five older adults (>65 years) performed two IADL tasks in a smart home laboratory equipped with sensors and a web camera. Participants' cognitive states were determined using published criteria including measures of global cognition and comprehensive neuropsychological test batteries. Selected subtasks of the …